IDEAS home Printed from https://ideas.repec.org/e/c/pga109.html
   My authors  Follow this author

Mauro Gallegati

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2017. "Are higher wages good for business? An assessment under alternative innovation and investment scenarios," MPRA Paper 80439, University Library of Munich, Germany.

    Mentioned in:

    1. [Segnalazioni] Salari e disuguaglianza, Europa, ruolo nel credito nelle recessioni
      by keynesblog in Keynes Blog on 2017-08-23 22:05:03
  2. Luca RICCETTI & Alberto RUSSO & Mauro GALLEGATI, 2011. "Leveraged Network-Based Financial Accelerator," Working Papers 371, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

    Mentioned in:

    1. OSSERVATORIO PUD€ 3 - LA GRILLONOMICS: NOVITA' O ACCORDI IN VISTA COL PUD€?
      by Quarantotto in Orizzonte48 on 2013-02-28 13:54:00
  3. Fabio Tramontana & Mauro Gallegati, 2010. "Economics as a compartmental system: a simple macroeconomic example," Working Papers 1011, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2010.

    Mentioned in:

    1. The economics of compartments
      by Economic Logician in Economic Logic on 2010-08-17 19:16:00
  4. Carlo Bianchi & Mauro Gallegati & Alberto Russo & Pietro A. Vagliasindi, 2007. "Profit Taxation, Economic Growth and Business Fluctuations," Economia politica, Società editrice il Mulino, issue 3, pages 427-450.

    Mentioned in:

    1. OSSERVATORIO PUD€ 3 - LA GRILLONOMICS: NOVITA' O ACCORDI IN VISTA COL PUD€?
      by Quarantotto in Orizzonte48 on 2013-02-28 13:54:00
  5. Mauro Gallegati & Gianfranco Giulioni & Alan Kirman & Antonio Palestrini, 2010. "What's that got to do with the price of fish? Buyers behavior on the Ancona fish market," Working Papers halshs-00545129, HAL.

    Mentioned in:

    1. Complexity, & BBC bias
      by chris in Stumbling and Mumbling on 2016-01-25 20:07:40
  6. Stefano Battiston & Domenico Delli Gatti & Mauro Gallegati & Bruce C. Greenwald & Joseph E. Stiglitz, 2009. "Liaisons Dangereuses: Increasing Connectivity, Risk Sharing, and Systemic Risk," NBER Working Papers 15611, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. Natural chaos in the markets
      by Mark Buchanan in The Physics of Finance on 2011-07-04 16:10:00
  7. Author Profile
    1. Ai giornalisti (lectio difficilior), con QED 20
      by Alberto Bagnai in Goofynomics on 2013-02-28 19:07:00
    2. OSSERVATORIO PUD€ 3 - LA GRILLONOMICS: NOVITA' O ACCORDI IN VISTA COL PUD€?
      by Quarantotto in Orizzonte48 on 2013-02-28 13:54:00

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Fabio Clementi & Mauro Gallegati, 2005. "Pareto's Law of Income Distribution: Evidence for Grermany, the United Kingdom, and the United States," Microeconomics 0505006, University Library of Munich, Germany.

    Mentioned in:

    1. Logarithmische Normalverteilung in Wikipedia (German)
    2. Log-normális eloszlás in Wikipedia (Hungarian)
    3. Log-normaalijakauma in Wikipedia (Finnish)
    4. Log-normal distribution in Wikipedia (English)
  2. Author Profile
    1. Mauro Gallegati in Wikipedia (English)

Working papers

  1. Ermanno Catullo & Mauro Gallegati & Alberto Russo, 2020. "Forecasting in a complex environment: Machine learning sales expectations in a Stock Flow Consistent Agent-Based simulation model," Working Papers 2020/17, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. Severin Reissl, 2022. "Fiscal multipliers, expectations and learning in a macroeconomic agent‐based model," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1704-1729, October.
    2. Joseph E. Stiglitz, 2020. "The Pandemic Economic Crisis, Precautionary Behavior, and Mobility Constraints: An Application of the Dynamic Disequilibrium Model with Randomness," NBER Working Papers 27992, National Bureau of Economic Research, Inc.

  2. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2020. "Firm-bank credit network, business cycle and macroprudential policy," Working Papers 2020/16, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. Michel Alexandre & Gilberto Tadeu Lima & Luca Riccetti & Alberto Russo, 2022. "The financial network channel of monetary policy transmission: An agent-based model," Working Papers 2022/01, Economics Department, Universitat Jaume I, Castellón (Spain).

  3. Ermanno Catullo & Federico Giri & Mauro Gallegati, 2019. "Macro and Micro Prudential Policies: Sweet and Lowdown in a Credit Network Agent Based Model," Working Papers 434, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

    Cited by:

    1. Adão, Luiz F.S. & Silveira, Douglas & Ely, Regis A. & Cajueiro, Daniel O., 2022. "The impacts of interest rates on banks’ loan portfolio risk-taking," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).

  4. Gallegati, Mauro & Giammetti, Raffaele & Russo, Alberto, 2019. "Key sectors in Input-Output Production Networks: an application to Brexit," MPRA Paper 92559, University Library of Munich, Germany.

    Cited by:

    1. Michela Chessa & Arnaud Persenda & Dominique Torre, 2023. "Brexit and Canadadvent: An application of graphs and hypergraphs to recent international trade agreements," Post-Print hal-04194464, HAL.
    2. Hylke Vandenbussche & William Connell & Wouter Simons, 2022. "Global value chains, trade shocks and jobs: An application to Brexit," The World Economy, Wiley Blackwell, vol. 45(8), pages 2338-2369, August.
    3. Brancaccio, Emiliano & Giammetti, Raffaele & Lopreite, Milena & Puliga, Michelangelo, 2019. "Monetary policy, crisis and capital centralization in corporate ownership and control networks: A B-Var analysis," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 55-66.
    4. Eduardo Barberis & Daniela Freddi & Raffaele Giammetti & Paolo Polidori & D?sir?e Teobaldelli & Elena Vigan?, 2020. "Trade Relationships in the European Pork Value Chain: a Network Analysis," Economia agro-alimentare, FrancoAngeli Editore, vol. 22(1), pages 1-23.
    5. Leonie Wenz & Anders Levermann & Sven Norman Willner & Christian Otto & Kilian Kuhla, 2020. "Post-Brexit no-trade-deal scenario: Short-term consumer benefit at the expense of long-term economic development," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-14, September.
    6. Matthew Smith & Yasaman Sarabi, 2021. "UK trading patterns within and between regions in the automotive sector—A network analysis," The World Economy, Wiley Blackwell, vol. 44(2), pages 510-529, February.
    7. Raffaele Giammetti & Luca Papi & Désirée Teobaldelli & Davide Ticchi, 2020. "The Italian value chain in the pandemic: the input–output impact of Covid-19 lockdown," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(3), pages 483-497, September.
    8. Li, Weidong & Wang, Anjian & Zhong, Weiqiong & Xing, Wanli & Liu, Jinna, 2022. "The role of mineral-related industries in Chinese industrial pattern," Resources Policy, Elsevier, vol. 76(C).
    9. Fathin Faizah Said & Sharifah Nur Ainn Syed Roslan & Mohd Azlan Shah Zaidi & Mohd Ridzwan Yaakub, 2021. "A Probe into the Status of the Oil Palm Sector in the Malaysian Value Chain," Economies, MDPI, vol. 9(3), pages 1-24, July.
    10. Stefano Costa & Federico Sallusti & Claudio Vicarelli, 2022. "Trade networks and shock transmission capacity: a new taxonomy of Italian industries," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(1), pages 133-153, March.
    11. Bartesaghi, Paolo & Clemente, Gian Paolo & Grassi, Rosanna & Luu, Duc Thi, 2022. "The multilayer architecture of the global input-output network and its properties," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 304-341.

  5. Ali Hosseiny & Mohammadreza Absalan & Mohammad Sherafati & Mauro Gallegati, 2018. "Hysteresis of economic networks in an XY model," Papers 1808.03404, arXiv.org.

    Cited by:

    1. James Holehouse & Hector Pollitt, 2021. "Non-equilibrium time-dependent solution to discrete choice with social interactions," Papers 2109.09633, arXiv.org, revised Jan 2022.
    2. Bahrami, Mohammad & Chinichian, Narges & Hosseiny, Ali & Jafari, Gholamreza & Ausloos, Marcel, 2020. "Optimization of the post-crisis recovery plans in scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).

  6. Botta, Alberto & Caverzasi, Eugenio & Russo, Alberto & Gallegati, Mauro & Stiglitz, Joseph E., 2018. "Inequality and finance in a rent economy," Greenwich Papers in Political Economy 20377, University of Greenwich, Greenwich Political Economy Research Centre.

    Cited by:

    1. Alberto Botta & Eugenio Caverzasi & Alberto Russo, 2020. "Fighting the COVID-19 Crisis: Debt Monétisation and EU Recovery Bonds," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 55(4), pages 239-244, July.
    2. Luca Eduardo Fierro & Federico Giri & Alberto Russo, 2023. "Inequality-Constrained Monetary Policy in a Financialized Economy," Working Papers 2023/02, Economics Department, Universitat Jaume I, Castellón (Spain).
    3. Alberto Botta & Eugenio Caverzasi & Alberto Russo, 2019. "When complexity meets finance: A contribution to the study of the macroeconomic effects of complex financial systems," Working Papers PKWP1909, Post Keynesian Economics Society (PKES).
    4. Andrea Borsato, 2022. "An agent-based model for Secular Stagnation in the USA: theory and empirical evidence," Journal of Evolutionary Economics, Springer, vol. 32(4), pages 1345-1389, September.
    5. Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2021. "An Agent-based Model of Trickle-up Growth and Income Inequality," GREDEG Working Papers 2021-29, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    6. Hasan, Iftekhar & Hassan, Gazi & Kim, Suk-Joong & Wu, Eliza, 2021. "The impact of risk-based capital rules for international lending on income inequality: Global evidence," Economic Modelling, Elsevier, vol. 98(C), pages 136-153.
    7. Marco Ranaldi & Elisa Palagi, 2022. "Heterogeneity in Macroeconomics: The Compositional Inequality Perspective," LIS Working papers 848, LIS Cross-National Data Center in Luxembourg.
    8. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2022. "Dynamic simulation of taxes and welfare benefits by database imputation," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA3/22, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    9. Alberto Botta & Eugenio Caverzasi & Alberto Russo, 2023. "Same Old Song: On The Macroeconomic And Distributional Effects Of Leaving A Low Interest Rate Environment," Working Papers 481, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    10. Marco Missaglia & Alberto Botta, 2020. "The role of liquidity preference in a framework of endogenous money," Working Papers PKWP2015, Post Keynesian Economics Society (PKES).
    11. Filippo Gusella & Anna Maria Variato, 2021. "Financial Instability and Income Inequality: why the connection Minsky-Piketty matters for Macroeconomics," Working Papers - Economics wp2021_15.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    12. Sakiru Adebola Solarin & Carmen Lafuente & Luis A. Gil-Alana & Maria Jesus Gonzalez Blanch, 2022. "Inequality Persistence of 21 OECD Countries from 1870 to 2020: Linear and Non-Linear Fractional Integration Approaches," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(2), pages 711-725, November.
    13. Papadopoulos, Georgios, 2020. "Probing the mechanism: lending rate setting in a data-driven agent-based model," MPRA Paper 102749, University Library of Munich, Germany.
    14. Gökçer Özgür, 2021. "Shadow banking and financial intermediation," Metroeconomica, Wiley Blackwell, vol. 72(4), pages 731-757, November.
    15. Severin Reissl, 2021. "Heterogeneous expectations, forecasting behaviour and policy experiments in a hybrid Agent-based Stock-flow-consistent model," Journal of Evolutionary Economics, Springer, vol. 31(1), pages 251-299, January.
    16. Lucrezia Fanti, 2021. "‘Kaldor Facts’ and the decline of Wage Share: An agent based-stock flow consistent model of induced technical change along Classical and Keynesian lines," Journal of Evolutionary Economics, Springer, vol. 31(2), pages 379-415, April.
    17. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.
    18. George Vachadze, 2021. "Financial development, income and income inequality," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(3), pages 589-628, July.

  7. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena & Mauro Gallegati, 2017. "Long-run expectations in a Learning-to-Forecast Experiment: A Simulation Approach," Working Papers 2017/03, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. George Evans & Cars Hommes & Bruce McGough & Isabelle Salle, 2019. "Are Long-Horizon Expectations (De-)Stabilizing? Theory and Experiments," Staff Working Papers 19-27, Bank of Canada.
    2. Zhou Lu & Te Bao & Xiaohua Yu, 2021. "Gender and Bubbles in Experimental Markets with Positive and Negative Expectation Feedback," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1307-1326, April.
    3. Breunig, Christoph & Grabova, Iuliia & Haan, Peter & Weinhardt, Felix & Weizsäcker, Georg, 2019. "Long-run Expectations of Households," Rationality and Competition Discussion Paper Series 218, CRC TRR 190 Rationality and Competition.
    4. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    5. Mikhail Anufriev & Aleksei Chernulich & Jan Tuinstra, 2020. "Asset Price Volatility and Investment Horizons: An Experimental Investigation," Working Papers 20200053, New York University Abu Dhabi, Department of Social Science, revised Aug 2020.
    6. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena, 2019. "The term structure of cross-sectional dispersion of expectations in a Learning-to-Forecast Experiment," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 491-520, September.
    7. Colasante, Annarita & Alfarano, Simone & Camacho-Cuena, Eva, 2019. "Heuristic Switching Model and Exploration-Explotation Algorithm to describe long-run expectations in LtFEs: a comparison," MPRA Paper 92391, University Library of Munich, Germany.
    8. Biondo, Alessio Emanuele, 2017. "Learning to forecast, risk aversion, and microstructural aspects of financial stability," Economics Discussion Papers 2017-104, Kiel Institute for the World Economy (IfW Kiel).

  8. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2017. "Are higher wages good for business? An assessment under alternative innovation and investment scenarios," MPRA Paper 80439, University Library of Munich, Germany.

    Cited by:

    1. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    2. Luca Eduardo Fierro & Alessandro Caiani & Alberto Russo, 2021. "Automation, job polarisation, and structural change," Working Papers 2021/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    3. Patrick Mellacher, 2021. "Growth, Inequality and Declining Business Dynamism in a Unified Schumpeter Mark I + II Model," Papers 2111.09407, arXiv.org, revised Nov 2023.
    4. Fanti, Lucrezia, 2018. "An AB-SFC Model of Induced Technical Change along Classical and Keynesian Lines," MPRA Paper 86929, University Library of Munich, Germany.
    5. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    6. Alessandro Caiani & Ermanno Catullo, 2023. "Fiscal Transfers and Common Debt in a Monetary Union: A Multi-Country Agent Based-Stock Flow Consistent Model," LEM Papers Series 2023/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Claudius Gräbner & Anna Hornykewycz, 2022. "Capability accumulation and product innovation: an agent-based perspective," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 87-121, January.
    8. Alberto Botta, 2016. "The Short- and Long-run Inconsistency of the Expansionary Austerity Theory: A Post-Keynesian/Evolutionist Critique," Economics Working Paper Archive wp_878, Levy Economics Institute.
    9. Terranova, Roberta & Turco, Enrico M., 2022. "Concentration, stagnation and inequality: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 569-595.
    10. Lucrezia Fanti, 2021. "‘Kaldor Facts’ and the decline of Wage Share: An agent based-stock flow consistent model of induced technical change along Classical and Keynesian lines," Journal of Evolutionary Economics, Springer, vol. 31(2), pages 379-415, April.
    11. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.

  9. Ali Hosseiny & Mohammad Bahrami & Antonio Palestrini & Mauro Gallegati, 2016. "Metastable Features of Economic Networks and Responses to Exogenous Shocks," Papers 1608.00275, arXiv.org.

    Cited by:

    1. Brannan, James, 2019. "On natural slow time rhythms in economic growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    2. Hosseiny, Ali, 2017. "A geometrical imaging of the real gap between economies of China and the United States," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 151-161.
    3. Ali Hosseiny & Mohammadreza Absalan & Mohammad Sherafati & Mauro Gallegati, 2018. "Hysteresis of economic networks in an XY model," Papers 1808.03404, arXiv.org.
    4. Ali Hosseiny & Mohammad Bahrami & Antonio Palestrini & Mauro Gallegati, 2016. "Metastable Features of Economic Networks and Responses to Exogenous Shocks," Papers 1608.00275, arXiv.org.
    5. Ahmad Hajihasani & Ali Namaki & Nazanin Asadi & Reza Tehrani, 2020. "Non-Extensive Value-at-Risk Estimation During Times of Crisis," Papers 2005.09036, arXiv.org, revised Jan 2021.
    6. Hosseiny, Ali & Gallegati, Mauro, 2017. "Role of intensive and extensive variables in a soup of firms in economy to address long run prices and aggregate data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 51-59.
    7. Bahrami, Mohammad & Chinichian, Narges & Hosseiny, Ali & Jafari, Gholamreza & Ausloos, Marcel, 2020. "Optimization of the post-crisis recovery plans in scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).

  10. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena & Mauro Gallegati, 2016. "Long-run expectations in a Learning-to-Forecast Experiment," Working Papers 2016/26, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. Kopanyi-Peuker, Anita & Weber, Matthias, 2018. "Experience Does not Eliminate Bubbles: Experimental Evidence," SocArXiv ecj7q, Center for Open Science.
    2. Zhou Lu & Te Bao & Xiaohua Yu, 2021. "Gender and Bubbles in Experimental Markets with Positive and Negative Expectation Feedback," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1307-1326, April.
    3. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena & Mauro Gallegati, 2017. "Long-run expectations in a Learning-to-Forecast Experiment: A Simulation Approach," Working Papers 2017/03, Economics Department, Universitat Jaume I, Castellón (Spain).
    4. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    5. Makarewicz, Tomasz, 2021. "Traders, forecasters and financial instability: A model of individual learning of anchor-and-adjustment heuristics," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 626-673.
    6. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena, 2019. "The term structure of cross-sectional dispersion of expectations in a Learning-to-Forecast Experiment," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 491-520, September.
    7. Colasante, Annarita & Alfarano, Simone & Camacho-Cuena, Eva, 2019. "Heuristic Switching Model and Exploration-Explotation Algorithm to describe long-run expectations in LtFEs: a comparison," MPRA Paper 92391, University Library of Munich, Germany.
    8. Biondo, Alessio Emanuele, 2018. "Learning to forecast, risk aversion, and microstructural aspects of financial stability," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-21.
    9. Makarewicz, Tomasz, 2019. "Traders, forecasters and financial instability: A model of individual learning of anchor-and-adjustment heuristics," BERG Working Paper Series 141, Bamberg University, Bamberg Economic Research Group.
    10. Morone, Andrea & Caferra, Rocco, 2020. "Inequalities in financial markets: Evidences from a laboratory experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 88(C).
    11. Alfarano, Simone & Camacho-Cuena, Eva & Colasante, Annarita & Ruiz-Buforn, Alba, 2022. "The effect of time-varying fundamentals in Learning-to-Forecast Experiments," MPRA Paper 113086, University Library of Munich, Germany.

  11. Leonardo Bargigli & Luca Riccetti & Alberto Russo & Mauro Gallegati, 2016. "Network Calibration and Metamodeling of a Financial Accelerator Agent Based Model," Working Papers - Economics wp2016_01.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.

    Cited by:

    1. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01499344, HAL.
    2. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    3. Karl Naumann-Woleske & Max Sina Knicker & Michael Benzaquen & Jean-Philippe Bouchaud, 2021. "Exploration of the Parameter Space in Macroeconomic Agent-Based Models," Papers 2111.08654, arXiv.org, revised Aug 2022.
    4. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    5. Sylvain Barde, 2022. "Bayesian Estimation of Large-Scale Simulation Models with Gaussian Process Regression Surrogates," Studies in Economics 2203, School of Economics, University of Kent.
    6. Elizabeth Jane Casabianca & Alessia Lo Turco & Daniela Maggioni, 2021. "Migration And The Structure Of Manufacturing Production. A View From Italian Provinces," Working Papers 448, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    7. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    8. Sylvain Barde & Sander van Der Hoog, 2017. "An empirical validation protocol for large-scale agent-based models," SciencePo Working papers Main hal-03458672, HAL.
    9. Steinbacher, Mitja & Raddant, Matthias & Karimi, Fariba & Camacho-Cuena, Eva & Alfarano, Simone & Iori, Giulia & Lux, Thomas, 2021. "Advances in the Agent-Based Modeling of Economic and Social Behavior," MPRA Paper 107317, University Library of Munich, Germany.
    10. Giovanni Dosi & Andrea Roventini, 2019. "More is different ... and complex! the case for agent-based macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 1-37, March.
    11. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    12. Siyan Chen & Saul Desiderio, 2022. "Calibration of Agent-Based Models by Means of Meta-Modeling and Nonparametric Regression," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1457-1478, December.
    13. G. Dosi & M. C. Pereira & M. E. Virgillito, 2018. "On the robustness of the fat-tailed distribution of firm growth rates: a global sensitivity analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 173-193, April.
    14. Ciola, Emanuele & Gaffeo, Edoardo & Gallegati, Mauro, 2022. "Search for profits and business fluctuations: How does banks’ behaviour explain cycles?," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    15. Brancaccio, Emiliano & Giammetti, Raffaele & Lopreite, Milena & Puliga, Michelangelo, 2018. "Centralization of capital and financial crisis: A global network analysis of corporate control," Structural Change and Economic Dynamics, Elsevier, vol. 45(C), pages 94-104.
    16. Karl Naumann-Woleske & Max Sina Knicker & Michael Benzaquen & Jean-Philippe Bouchaud, 2022. "Exploration of the Parameter Space in Macroeconomic Models," Post-Print hal-03797418, HAL.
    17. Hung-Wen Lin & Jing-Bo Huang & Kun-Ben Lin & Shu-Heng Chen, 2022. "The competitions of time-varying and constant loadings in asset pricing models: empirical evidence and agent-based simulations," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 577-612, April.
    18. Chen, Siyan & Desiderio, Saul, 2018. "Computational evidence on the distributive properties of monetary policy," Economics Discussion Papers 2018-38, Kiel Institute for the World Economy (IfW Kiel).
    19. Zila, Eric & Kukacka, Jiri, 2023. "Moment set selection for the SMM using simple machine learning," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 366-391.
    20. Siyan Chen & Saul Desiderio, 2022. "A Regression-Based Calibration Method for Agent-Based Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 687-700, February.
    21. Emanuele Ciola & Edoardo Gaffeo & Mauro Gallegati, 2021. "Search for Profits and Business Fluctuations: How Banks' Behaviour Explain Cycles?," Working Papers 450, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

  12. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Monetary Policy and Large Crises in a Financial Accelerator Agent-Based Model," MPRA Paper 70371, University Library of Munich, Germany.

    Cited by:

    1. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    2. Giorgio Calcagnini & Laura Gardini & Germana Giombini & Edgar S. Carrera, 2022. "Does too much liquidity generate instability?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(1), pages 191-208, January.
    3. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    4. Eric Guerci & Nobuyuki Hanaki & Mauro Napoletano, 2019. "Introduction to special issue on “Complex evolving system approach to market dynamics and policy design”," Post-Print hal-02299231, HAL.
    5. Brini, Alessio & Tedeschi, Gabriele & Tantari, Daniele, 2023. "Reinforcement learning policy recommendation for interbank network stability," Journal of Financial Stability, Elsevier, vol. 67(C).
    6. Luca Eduardo Fierro & Federico Giri & Alberto Russo, 2023. "Inequality-Constrained Monetary Policy in a Financialized Economy," Working Papers 2023/02, Economics Department, Universitat Jaume I, Castellón (Spain).
    7. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2022. "Energy price shocks and stabilization policies in a multi-agent macroeconomic model for the Euro Area," FEEM Working Papers 324171, Fondazione Eni Enrico Mattei (FEEM).
    8. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2023. "Energy price shocks and stabilization policies in the MATRIX model," Energy Policy, Elsevier, vol. 177(C).
    9. Gobbi, Alessandro & Grazzini, Jakob, 2019. "A basic New Keynesian DSGE model with dispersed information: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 101-116.
    10. Hamed Ghiaie, 2018. "Shadow Bank run, Housing and Credit Market: The Story of a Recession," THEMA Working Papers 2018-01, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    11. Lilian Rolim & Laura Carvalho & Dany Lang, 2023. "Monetary policy rules and the inequality-augmented Phillips Curve," Working Papers, Department of Economics 2023_06, University of São Paulo (FEA-USP).
    12. Papadopoulos, Georgios, 2020. "Probing the mechanism: lending rate setting in a data-driven agent-based model," MPRA Paper 102749, University Library of Munich, Germany.
    13. Carlos M. Fernández-Márquez & Matías Fuentes & Juan José Martínez & Francisco J. Vázquez, 2021. "Productivity and unemployment: an ABM approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 133-151, January.
    14. Terranova, Roberta & Turco, Enrico M., 2022. "Concentration, stagnation and inequality: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 569-595.
    15. Ghiaie Hamed, 2020. "Shadow Bank Run, Housing and Credit Market: The Story of a Recession," The B.E. Journal of Macroeconomics, De Gruyter, vol. 20(2), pages 1-30, June.

  13. Ali Hosseiny & Mauro Gallegati, 2016. "Role of Intensive and Extensive Variables in a Soup of Firms in Economy to Address Long Run Prices and Aggregate Data," Papers 1608.02523, arXiv.org, revised Jan 2017.

    Cited by:

    1. Hosseiny, Ali, 2017. "A geometrical imaging of the real gap between economies of China and the United States," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 151-161.
    2. Ali Hosseiny & Mohammadreza Absalan & Mohammad Sherafati & Mauro Gallegati, 2018. "Hysteresis of economic networks in an XY model," Papers 1808.03404, arXiv.org.

  14. F. Clementi & M. Gallegati & G. Kaniadakis & S. Landini, 2016. "$\kappa$-generalized models of income and wealth distributions: A survey," Papers 1610.08676, arXiv.org.

    Cited by:

    1. Kazuhiko Kakamu & Haruhisa Nishino, 2019. "Bayesian Estimation of Beta-type Distribution Parameters Based on Grouped Data," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 625-645, August.
    2. Fabio Clementi & Mauro Gallegati & Lisa Gianmoena & Simone Landini & Joseph E. Stiglitz, 2019. "Mis-measurement of inequality: a critical reflection and new insights," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 891-921, December.
    3. Yuri Biondi & Simone Righi, 2019. "Inequality, mobility and the financial accumulation process: a computational economic analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(1), pages 93-119, March.

  15. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2016. "Does Inequality Hamper Innovation and Growth?," MPRA Paper 71864, University Library of Munich, Germany.

    Cited by:

    1. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2018. "What if supply-side policies are not enough ? The perverse interaction of flexibility and austerity," SciencePo Working papers Main hal-03458460, HAL.
    2. Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2017. "Inequality, Redistributive Policies and Multiplier Dynamics in an Agent-Based Model with Credit Rationing," LEM Papers Series 2017/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    4. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "When more Flexibility Yields more Fragility: the Microfoundations of Keynesian Aggregate Unemployment," LEM Papers Series 2016/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    6. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2020. "Are Higher Wages Good For Business? An Assessment Under Alternative Innovation And Investment Scenarios," Macroeconomic Dynamics, Cambridge University Press, vol. 24(1), pages 191-230, January.
    7. Fanti, Lucrezia, 2018. "An AB-SFC Model of Induced Technical Change along Classical and Keynesian Lines," MPRA Paper 86929, University Library of Munich, Germany.
    8. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "The Effects of Labour Market Reforms upon Unemployment and Income Inequalities: an Agent Based Model," Working Papers hal-03459264, HAL.
    9. Tommaso Ciarli & Andre Lorentz & Marco Valente & Mario Savona, 2017. "Structural Changes and Growth Regimes," SPRU Working Paper Series 2017-12, SPRU - Science Policy Research Unit, University of Sussex Business School.
    10. Dosi, Giovanni & Pereira, Marcelo C. & Roventini, Andrea & Virgillito, Maria Enrica, 2017. "Causes and Consequences of Hysteresis: Aggregate Demand, Productivity and Employment," GLO Discussion Paper Series 64, Global Labor Organization (GLO).
    11. Mauro Napoletano, 2018. "A short walk on the wild side : agent based models and their implications for macroeconomic analysis," SciencePo Working papers Main hal-03443471, HAL.
    12. Papadopoulos, Georgios, 2019. "Income inequality, consumption, credit and credit risk in a data-driven agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 104(C), pages 39-73.
    13. Amrita Saha & Tommaso Ciarli, 2018. "Innovation, Structural Change, and Inclusion. A Cross Country PVAR Analysis," SPRU Working Paper Series 2018-01, SPRU - Science Policy Research Unit, University of Sussex Business School.
    14. Alessandro Caiani & Ermanno Catullo & Mauro Gallegati, 2018. "The effects of fiscal targets in a monetary union: a multi-country agent-based stock flow consistent model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1123-1154.
    15. Mduduzi Biyase & Talent Zwane & Precious Mncayi & Mokgadi Maleka, 2023. "Do technological innovation and financial development affect inequality? Evidence from BRICS countries," Economics Working Papers edwrg-01-2023, College of Business and Economics, University of Johannesburg, South Africa, revised 2023.
    16. Lucrezia Fanti, 2021. "‘Kaldor Facts’ and the decline of Wage Share: An agent based-stock flow consistent model of induced technical change along Classical and Keynesian lines," Journal of Evolutionary Economics, Springer, vol. 31(2), pages 379-415, April.

  16. Luca Marotta & Salvatore Miccich`e & Yoshi Fujiwara & Hiroshi Iyetomi & Hideaki Aoyama & Mauro Gallegati & Rosario N. Mantegna, 2015. "Backbone of credit relationships in the Japanese credit market," Papers 1511.06870, arXiv.org.

    Cited by:

    1. Thomas Lux, 2020. "On the distribution of links in financial networks: structural heterogeneity and functional form," Empirical Economics, Springer, vol. 58(3), pages 1019-1053, March.
    2. Lux, Thomas, 2017. "On the distribution of links in financial networks: Structural heterogeneity and functional form," Economics Working Papers 2017-05, Christian-Albrechts-University of Kiel, Department of Economics.

  17. Annarita COLASANTE & Antonio PALESTRINI & Alberto RUSSO & Mauro GALLEGATI, 2015. "Adaptive Expectations with Correction Bias: Evidence from the lab," Working Papers 409, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

    Cited by:

    1. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Joseph E. Stiglitz & Tania Treibich, 2020. "Rational Heuristics? Expectations And Behaviors In Evolving Economies With Heterogeneous Interacting Agents," Economic Inquiry, Western Economic Association International, vol. 58(3), pages 1487-1516, July.
    2. Zhou Lu & Te Bao & Xiaohua Yu, 2021. "Gender and Bubbles in Experimental Markets with Positive and Negative Expectation Feedback," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1307-1326, April.

  18. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2015. "Stock Market Dynamics, Leveraged Network-Based Financial Accelerator and Monetary Policy," MPRA Paper 63622, University Library of Munich, Germany.

    Cited by:

    1. Cao, Guangxi & Zhang, Qi & Li, Qingchen, 2017. "Causal relationship between the global foreign exchange market based on complex networks and entropy theory," Chaos, Solitons & Fractals, Elsevier, vol. 99(C), pages 36-44.
    2. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    3. Deborah Noguera & Gabriel Montes-Rojas, 2023. "Minskyan model with credit rationing in a network economy," SN Business & Economics, Springer, vol. 3(3), pages 1-26, March.
    4. Meijers H. & Nomaler Z.O. & Verspagen B., 2014. "Demand, credit and macroeconomic dynamics: A microsimulation model," MERIT Working Papers 2014-047, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Monetary policy and large crises in a financial accelerator agent-based model," FinMaP-Working Papers 65, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    6. Bence Mérõ, 2019. "Novel Modelling of the Operation of the Financial Intermediary System – Agent-based Macro Models," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 18(3), pages 83-113.
    7. Rzeszutek, Marcin & Godin, Antoine & Szyszka, Adam & Augier, Stanislas, 2020. "Managerial overconfidence in initial public offering decisions and its impact on macrodynamics and financial stability: Analysis using an agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 118(C).
    8. Hosszú, Zsuzsanna & Mérő, Bence, 2017. "Hitelciklusok és anticiklikus tőkepuffer egy ágensalapú keynesi modellben [Credit cycles and the counter-cyclical capital buffer in an agent-based Keynesian model]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 457-475.
    9. Rémi Stellian & Gabriel I. Penagos & Jenny P. Danna-Buitrago, 2021. "Firms in financial distress: evidence from inter-firm payment networks with volatility driven by ‘animal spirits’," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 59-101, January.
    10. Carlos M. Fernández-Márquez & Matías Fuentes & Juan José Martínez & Francisco J. Vázquez, 2021. "Productivity and unemployment: an ABM approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 133-151, January.
    11. David Vidal-Tomás & Rocco Caferra & Gabriele Tedeschi, 2022. "The day after tomorrow: financial repercussions of COVID-19 on systemic risk," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 169-192, April.
    12. Xiao, Hailian & Zhao, Ying & Zhou, Meihua, 2022. "Can financial factors affect corporate debt leverage convergence?," Pacific-Basin Finance Journal, Elsevier, vol. 72(C).
    13. Rémi Stellian & Jenny P. Danna‐Buitrago, 2020. "Financial distress, free cash flow, and interfirm payment network: Evidence from an agent‐based model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 598-616, October.
    14. Deborah Noguera & Gabriel Montes-Rojas, 2022. "Credit-constrained fluctuations and uncertainty in a network economy," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(80), pages 5-52, November.

  19. LI, XI HAO & Gallegati, Mauro, 2015. "Stock-Flow Dynamic Projection," MPRA Paper 62047, University Library of Munich, Germany.

    Cited by:

    1. Venables, Anthony J., 2017. "Breaking into tradables: Urban form and urban function in a developing city," Journal of Urban Economics, Elsevier, vol. 98(C), pages 88-97.

  20. Colasante, Annarita & Palestrini, Antonio & Russo, Alberto & Gallegati, Mauro, 2015. "Heterogeneous Adaptive Expectations and Coordination in a Learning-to-Forecast Experiment," MPRA Paper 66578, University Library of Munich, Germany.

    Cited by:

    1. Biondo, Alessio Emanuele, 2017. "Learning to forecast, risk aversion, and microstructural aspects of financial stability," Economics Discussion Papers 2017-104, Kiel Institute for the World Economy (IfW Kiel).
    2. Biondo, Alessio Emanuele, 2018. "Learning to forecast, risk aversion, and microstructural aspects of financial stability," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-21.

  21. Daniela MAGGIONI & Alessia LO TURCO & Mauro GALLEGATI, 2014. "Does export complexity matter for firms' output volatility?," Working Papers 407, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

    Cited by:

    1. Can, Muhlis & Gozgor, Giray, 2016. "Dynamic Relationships among CO2 Emissions, Energy Consumption, Economic Growth, and Economic Complexity in France," MPRA Paper 70373, University Library of Munich, Germany.

  22. Recchioni, Maria Cristina & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "A calibration procedure for analyzing stock price dynamics in an agent-based framework," FinMaP-Working Papers 26, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.

    Cited by:

    1. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01499344, HAL.
    2. Giuliana Passamani & Roberto Tamborini & Matteo Tomaselli, 2016. "Taxing financial transactions in fundamentally heterogeneous markets," DEM Working Papers 2016/10, Department of Economics and Management.
    3. Basak, Suryoday & Kar, Saibal & Saha, Snehanshu & Khaidem, Luckyson & Dey, Sudeepa Roy, 2019. "Predicting the direction of stock market prices using tree-based classifiers," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 552-567.
    4. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    5. Elizabeth Jane Casabianca & Alessia Lo Turco & Daniela Maggioni, 2021. "Migration And The Structure Of Manufacturing Production. A View From Italian Provinces," Working Papers 448, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    6. Seri, Raffaello & Martinoli, Mario & Secchi, Davide & Centorrino, Samuele, 2021. "Model calibration and validation via confidence sets," Econometrics and Statistics, Elsevier, vol. 20(C), pages 62-86.
    7. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    8. Recchioni, Maria Cristina & Tedeschi, Gabriele, 2017. "From bond yield to macroeconomic instability: A parsimonious affine model," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1116-1135.
    9. Francesco Lamperti, 2018. "Empirical validation of simulated models through the GSL-div: an illustrative application," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 143-171, April.
    10. Guillaume Coqueret, 2017. "Empirical properties of a heterogeneous agent model in large dimensions," Post-Print hal-02312186, HAL.
    11. Guerini, Mattia & Moneta, Alessio, 2017. "A method for agent-based models validation," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 125-141.
    12. Grazzini, Jakob & Richiardi, Matteo G. & Tsionas, Mike, 2017. "Bayesian estimation of agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 26-47.
    13. Lux, Thomas, 2017. "Estimation of agent-based models using sequential Monte Carlo methods," Economics Working Papers 2017-07, Christian-Albrechts-University of Kiel, Department of Economics.
    14. Gaffeo, Edoardo & Molinari, Massimo, 2017. "Taxing financial transactions in fundamentally heterogeneous markets," Economic Modelling, Elsevier, vol. 64(C), pages 322-333.
    15. Francesco Lamperti, 2016. "Empirical Validation of Simulated Models through the GSL-div: an Illustrative Application," LEM Papers Series 2016/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    16. Steinbacher, Mitja & Raddant, Matthias & Karimi, Fariba & Camacho-Cuena, Eva & Alfarano, Simone & Iori, Giulia & Lux, Thomas, 2021. "Advances in the Agent-Based Modeling of Economic and Social Behavior," MPRA Paper 107317, University Library of Munich, Germany.
    17. Marwil J. Davila-Fernandez & Serena Sordi, 2022. "The Green-MKS system: A baseline environmental macro-dynamic model," Department of Economics University of Siena 890, Department of Economics, University of Siena.
    18. Lux, Thomas, 2018. "Estimation of agent-based models using sequential Monte Carlo methods," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 391-408.
    19. Guillaume Coqueret, 2017. "Empirical properties of a heterogeneous agent model in large dimensions," Post-Print hal-02000726, HAL.
    20. Mario Martinoli & Alessio Moneta & Gianluca Pallante, 2022. "Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search," LEM Papers Series 2022/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    21. Alexandru Mandes & Peter Winker, 2015. "Complexity and Model Comparison in Agent Based Modeling of Financial Markets," MAGKS Papers on Economics 201528, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    22. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    23. Domenico Delli Gatti & Jakob Grazzini, 2019. "Rising to the Challenge: Bayesian Estimation and Forecasting Techniques for Macroeconomic Agent-Based Models," CESifo Working Paper Series 7894, CESifo.
    24. Siyan Chen & Saul Desiderio, 2022. "Calibration of Agent-Based Models by Means of Meta-Modeling and Nonparametric Regression," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1457-1478, December.
    25. Filippo Gusella, 2022. "Detecting and Measuring Financial Cycles in Heterogeneous Agents Models: An Empirical Analysis," Working Papers - Economics wp2022_02.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    26. Tubbenhauer, Tobias & Fieberg, Christian & Poddig, Thorsten, 2021. "Multi-agent-based VaR forecasting," Journal of Economic Dynamics and Control, Elsevier, vol. 131(C).
    27. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    28. Lucas Fievet & Didier Sornette, 2018. "Calibrating emergent phenomena in stock markets with agent based models," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-17, March.
    29. Kukacka, Jiri & Barunik, Jozef, 2017. "Estimation of financial agent-based models with simulated maximum likelihood," Journal of Economic Dynamics and Control, Elsevier, vol. 85(C), pages 21-45.
    30. Kukacka, Jiri & Kristoufek, Ladislav, 2021. "Does parameterization affect the complexity of agent-based models?," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 324-356.
    31. Simone Berardi & Gabriele Tedeschi, 2016. "How banks’ strategies influence financial cycles: An approach to identifying micro behavior," Working Papers 2016/24, Economics Department, Universitat Jaume I, Castellón (Spain).
    32. Donovan Platt, 2019. "A Comparison of Economic Agent-Based Model Calibration Methods," Papers 1902.05938, arXiv.org.
    33. Özge Dilaver & Robert Jump & Paul Levine, 2016. "Agent-based Macroeconomics and Dynamic Stochastic General Equilibrium Models: Where do we go from here?," School of Economics Discussion Papers 0116, School of Economics, University of Surrey.
    34. Ciola, Emanuele & Gaffeo, Edoardo & Gallegati, Mauro, 2022. "Search for profits and business fluctuations: How does banks’ behaviour explain cycles?," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    35. Donovan Platt & Tim Gebbie, 2016. "The Problem of Calibrating an Agent-Based Model of High-Frequency Trading," Papers 1606.01495, arXiv.org, revised Mar 2017.
    36. Dinghai Xu & Jingru Ji & Donghua Wang, 2018. "Modelling the spreading process of extreme risks via a simple agent-based model: Evidence from the China stock market," Working Papers 1806, University of Waterloo, Department of Economics, revised 09 Jan 2018.
    37. Gabriele Tedeschi & Fabio Caccioli & Maria Cristina Recchioni, 2020. "Taming financial systemic risk: models, instruments and early warning indicators," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 1-7, January.
    38. Niu, Xiaojian & Niu, Xiaoli & Wu, Kexing, 2021. "Implicit government guarantees and the externality of portfolio diversification: A complex network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    39. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.
    40. Yi Zhang & Zhe Li & Yongchao Zhang, 2020. "Validation and Calibration of an Agent-Based Model: A Surrogate Approach," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-9, January.
    41. Lamperti, Francesco, 2018. "An information theoretic criterion for empirical validation of simulation models," Econometrics and Statistics, Elsevier, vol. 5(C), pages 83-106.
    42. Coqueret, Guillaume, 2017. "Empirical properties of a heterogeneous agent model in large dimensions," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 180-201.
    43. Siyan Chen & Saul Desiderio, 2022. "A Regression-Based Calibration Method for Agent-Based Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 687-700, February.
    44. Donovan Platt, 2022. "Bayesian Estimation of Economic Simulation Models Using Neural Networks," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 599-650, February.
    45. Guillaume Coqueret, 2016. "Empirical properties of a heterogeneous agent model in large dimensions," Post-Print hal-02088097, HAL.
    46. Kukacka, Jiri & Kristoufek, Ladislav, 2020. "Do ‘complex’ financial models really lead to complex dynamics? Agent-based models and multifractality," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    47. G. Rigatos, 2021. "Statistical Validation of Multi-Agent Financial Models Using the H-Infinity Kalman Filter," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 777-798, October.
    48. Colasante, Annarita, 2017. "Selection of the distributional rule as an alternative tool to foster cooperation in a Public Good Game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 482-492.
    49. Emanuele Ciola & Edoardo Gaffeo & Mauro Gallegati, 2021. "Search for Profits and Business Fluctuations: How Banks' Behaviour Explain Cycles?," Working Papers 450, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    50. Luigi Bonatti & Lorenza Lorenzetti, 2016. "The co-evolution of tax evasion, social capital and policy responses: A theoretical approach," DEM Working Papers 2016/08, Department of Economics and Management.
    51. Xu, Hai-Chuan & Zhang, Wei & Xiong, Xiong & Wang, Xue & Zhou, Wei-Xing, 2021. "The double-edged role of social learning: Flash crash and lower total volatility," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 405-420.
    52. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    53. Minh Tran & Thanh Duong & Duc Pham-Hi & Marc Bui, 2020. "Detecting the Proportion of Traders in the Stock Market: An Agent-Based Approach," Mathematics, MDPI, vol. 8(2), pages 1-14, February.
    54. Maria Cristina Recchioni & Gabriele Tedeschi, 2016. "From bond yield to macroeconomic instability: The effect of negative interest rates," Working Papers 2016/06, Economics Department, Universitat Jaume I, Castellón (Spain).
    55. Colasante, Annarita, 2016. "Evolution of Cooperation in Public Good Game," MPRA Paper 72577, University Library of Munich, Germany.

  23. Luca Marotta & Salvatore Miccich`e & Yoshi Fujiwara & Hiroshi Iyetomi & Hideaki Aoyama & Mauro Gallegati & Rosario N. Mantegna, 2014. "Bank-firm credit network in Japan. An analysis of a bipartite network," Papers 1407.5429, arXiv.org.

    Cited by:

    1. Andrea Barón & María Victoria Landaberry & Rodrigo Lluberas & Jorge Ponce, 2020. "Commercial and banking credit network in Uruguay," Documentos de trabajo 2020006, Banco Central del Uruguay.
    2. Duc Thi Luu, 2022. "Portfolio Correlations in the Bank-Firm Credit Market of Japan," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 529-569, August.
    3. Abhijit Chakraborty & Hazem Krichene & Hiroyasu Inoue & Yoshi Fujiwara, 2017. "Characterization of the community structure in a large-scale production network in Japan," Papers 1706.00203, arXiv.org, revised Sep 2018.
    4. Rocco, Claudio M. & Moronta, José & Ramirez-Marquez, José E. & Barker, Kash, 2017. "Effects of multi-state links in network community detection," Reliability Engineering and System Safety, Elsevier, vol. 163(C), pages 46-56.
    5. Yanquen, Eduardo & Livan, Giacomo & Montañez-Enriquez, Ricardo & Martinez-Jaramillo, Serafin, 2022. "Measuring systemic risk for bank credit networks: A multilayer approach," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(2).
    6. Luca Marotta & Salvatore Miccich`e & Yoshi Fujiwara & Hiroshi Iyetomi & Hideaki Aoyama & Mauro Gallegati & Rosario N. Mantegna, 2015. "Backbone of credit relationships in the Japanese credit market," Papers 1511.06870, arXiv.org.
    7. Landaberry, Victoria & Caccioli, Fabio & Rodriguez-Martinez, Anahi & Baron, Andrea & Martinez-Jaramillo, Serafin & Lluberas, Rodrigo, 2021. "The contribution of the intra-firm exposures network to systemic risk," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(2).
    8. Diaz de la Fuente Manuel, 2023. "Análisis de la Topología de las relaciones entre Bancos y Firmas mediante Redes Complejas: comparación del caso de Argentina e Italia," Asociación Argentina de Economía Política: Working Papers 4647, Asociación Argentina de Economía Política.
    9. Bikramjit Das & Vicky Fasen-Hartmann, 2023. "Systemic risk in financial networks: the effects of asymptotic independence," Papers 2309.15511, arXiv.org.
    10. Margarita Baltakienė & Kęstutis Baltakys & Juho Kanniainen & Dino Pedreschi & Fabrizio Lillo, 2019. "Clusters of investors around initial public offering," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-14, December.
    11. Bryan S. Graham, 2020. "Sparse network asymptotics for logistic regression," Papers 2010.04703, arXiv.org.
    12. Opeoluwa Banwo & Fabio Caccioli & Paul Harrald & Francesca Medda, 2016. "The Effect Of Heterogeneity On Financial Contagion Due To Overlapping Portfolios," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(08), pages 1-20, December.
    13. Ramirez-Marquez, J.E. & Rocco, C.M. & Moronta, J. & Gama Dessavre, D., 2016. "Robustness in network community detection under links weights uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 88-95.
    14. Sebastian Poledna & Abraham Hinteregger & Stefan Thurner, 2018. "Identifying systemically important companies in the entire liability network of a small open economy," Papers 1801.10487, arXiv.org.
    15. Ermanno Catullo & Antonio Palestrini & Ruggero Grilli & Mauro Gallegati, 2018. "Early warning indicators and macro-prudential policies: a credit network agent based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 81-115, April.

  24. Antoine Mandel & Simone Landini & Mauro Gallegati & Herbert Gintis, 2013. "Price Dynamics, financial fragility and aggregate volatility," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00917892, HAL.

    Cited by:

    1. Pascal Seppecher & Isabelle Salle & Marc Lavoie, 2017. "What drives markups? Evolutionary pricing in an agent-based stock-flow consistent macroeconomic model," CEPN Working Papers 2017-03, Centre d'Economie de l'Université de Paris Nord.
    2. Dawid, Herbert & Harting, Philipp & Neugart, Michael & Hoog, Sander van der, 2019. "Macroeconomics with heterogeneous agent models: fostering transparency, reproducibility and replication," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 113126, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Nikolay P. Pilnik & Igor Pospelov & Ivan P. Stankevich, 2015. "Multiproduct Model Decomposition of Components of Russian GDP," HSE Working papers WP BRP 111/EC/2015, National Research University Higher School of Economics.
    4. Otto, Christian & Willner, Sven Norman & Wenz, Leonie & Frieler, Katja & Levermann, Anders, 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," OSF Preprints 7yyhd, Center for Open Science.
    5. Gérard Ballot & Antoine Mandel & Annick Vignes, 2015. "Agent-based modeling and economic theory: where do we stand?," PSE-Ecole d'économie de Paris (Postprint) halshs-01296643, HAL.
    6. Antoine Mandel & Herbert Gintis, 2016. "Decentralized Pricing and the equivalence between Nash and Walrasian equilibrium," Post-Print halshs-01296646, HAL.
    7. Julius Bonart & Jean-Philippe Bouchaud & Augustin Landier & David Thesmar, 2014. "Instabilities in large economies: aggregate volatility without idiosyncratic shocks," Papers 1406.5022, arXiv.org.
    8. Otto, C. & Willner, S.N. & Wenz, L. & Frieler, K. & Levermann, A., 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 232-269.
    9. Mauro Napoletano, 2018. "A short walk on the wild side : agent based models and their implications for macroeconomic analysis," SciencePo Working papers Main hal-03443471, HAL.
    10. Shu-Heng Chen & Bin-Tzong Chie & Ying-Fang Kao & Ragupathy Venkatachalam, 2019. "Agent-Based Modeling of a Non-tâtonnement Process for the Scarf Economy: The Role of Learning," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 305-341, June.
    11. Dessertaine, Théo & Moran, José & Benzaquen, Michael & Bouchaud, Jean-Philippe, 2022. "Out-of-equilibrium dynamics and excess volatility in firm networks," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    12. Simone Landini & Mauro Gallegati & J. Barkley Rosser, 2020. "Consistency and incompleteness in general equilibrium theory," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 205-230, January.

  25. Riccetti, Luca & Russo, Alberto & Mauro, Gallegati, 2013. "Financial Regulation in an Agent Based Macroeconomic Model," MPRA Paper 51013, University Library of Munich, Germany.

    Cited by:

    1. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "When more Flexibility Yields more Fragility: the Microfoundations of Keynesian Aggregate Unemployment," LEM Papers Series 2016/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    3. Alberto Cardaci & Francesco Saraceno, 2015. "Inequality, Financialisation and economic crises : an agent-based model," Sciences Po publications 2015-27, Sciences Po.
    4. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).
    5. Cardaci, Alberto & Saraceno, Francesco, 2016. "Inequality, Financialisation and Credit Booms - a Model of Two Crises," LEAP Working Papers 2016/2, Luiss Institute for European Analysis and Policy.
    6. Yang, Zhonghai & Lu, Yang & Tan, Wenhao, 2021. "Monetary policy tightening, accounting information comparability, and underinvestment: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 123-147.
    7. Carlos M. Fernández-Márquez & Matías Fuentes & Juan José Martínez & Francisco J. Vázquez, 2021. "Productivity and unemployment: an ABM approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 133-151, January.
    8. Poledna, Sebastian & Bochmann, Olaf & Thurner, Stefan, 2017. "Basel III capital surcharges for G-SIBs are far less effective in managing systemic risk in comparison to network-based, systemic risk-dependent financial transaction taxes," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 230-246.

  26. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial factors in an agent-based macroeconomic model," Economics Discussion Papers 2013-9, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    2. Wei Zhao & Yi Lu & Genfu Feng, 2019. "How Many Agents are Rational in China’s Economy? Evidence from a Heterogeneous Agent-Based New Keynesian Model," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 575-611, August.
    3. Michel Alexandre da Silva & Gilberto Tadeu Lima, 2015. "Combining Monetary Policy and Prudential Regulation: an agent-based modeling approach," Working Papers Series 394, Central Bank of Brazil, Research Department.
    4. Rengs, Bernhard & Scholz-Waeckerle, Manuel, 2017. "Consumption & Class in Evolutionary Macroeconomics," MPRA Paper 80021, University Library of Munich, Germany.
    5. Severin Reissl, 2022. "Fiscal multipliers, expectations and learning in a macroeconomic agent‐based model," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1704-1729, October.
    6. Laura Carvalho & Corrado Di Guilmi, 2020. "Technological unemployment and income inequality: a stock-flow consistent agent-based approach," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 39-73, January.
    7. Kurt Kratena, 2015. "Thematic Report: Macroeconomic Models Including Specifically Social and Environmental Aspects. WWWforEurope Deliverable No. 8," WIFO Studies, WIFO, number 58411, Juni.
    8. Carlos M. Fernández-Márquez & Matías Fuentes & Juan José Martínez & Francisco J. Vázquez, 2021. "Productivity and unemployment: an ABM approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 133-151, January.
    9. Bernhard Rengs & Manuel Scholz-Wäckerle & Ardjan Gazheli & Miklós Antal & Jeroen C.J.M. van den Bergh, 2015. "Testing Innovation, Employment and Distributional Impacts of Climate Policy Packages in a Macro-evolutionary Systems Setting. WWWforEurope Working Paper No. 83," WIFO Studies, WIFO, number 57891, Juni.

  27. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Financialisation and Crisis in an Agent Based Macroeconomomic Model," MPRA Paper 51074, University Library of Munich, Germany.

    Cited by:

    1. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    2. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    3. Giorgio Ffagiolo & Daniele Giachini & Andrea Roventini, 2017. "Innovation, Finance, and Economic Growth : an agent based approach," Documents de Travail de l'OFCE 2017-28, Observatoire Francais des Conjonctures Economiques (OFCE).
    4. Botta, Alberto & Caverzasi, Eugenio & Russo, Alberto & Gallegati, Mauro & Stiglitz, Joseph E., 2018. "Inequality and finance in a rent economy," Greenwich Papers in Political Economy 20377, University of Greenwich, Greenwich Political Economy Research Centre.
    5. Chen, Siyan & Desiderio, Saul, 2017. "What moves the Beveridge curve and the Phillips curve: An agent-based analysis," Economics Discussion Papers 2017-65, Kiel Institute for the World Economy (IfW Kiel).
    6. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    7. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    8. Chen, Siyan & Desiderio, Saul, 2019. "Job duration and inequality," Economics Discussion Papers 2019-44, Kiel Institute for the World Economy (IfW Kiel).
    9. Guilmi, Corrado Di & Fujiwara, Yoshi, 2022. "Dual labor market, financial fragility, and deflation in an agent-based model of the Japanese macroeconomy," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 346-371.
    10. Samitas, Aristeidis & Polyzos, Stathis & Siriopoulos, Costas, 2018. "Brexit and financial stability: An agent-based simulation," Economic Modelling, Elsevier, vol. 69(C), pages 181-192.
    11. Laura Carvalho & Corrado Di Guilmi, 2020. "Technological unemployment and income inequality: a stock-flow consistent agent-based approach," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 39-73, January.
    12. Emanuele Russo, 2021. "Harrodian instability in decentralized economies: an agent-based approach," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 539-567, July.
    13. Chen, Siyan & Desiderio, Saul, 2018. "Computational evidence on the distributive properties of monetary policy," Economics Discussion Papers 2018-38, Kiel Institute for the World Economy (IfW Kiel).
    14. Vahabi, Mehrdad & Hassani-Mahmooei, Behrooz, 2016. "The role of identity and authority from anarchy to order: Insights from modeling the trajectory of dueling in Europe," Economic Modelling, Elsevier, vol. 55(C), pages 57-72.
    15. Carlos M. Fernández-Márquez & Matías Fuentes & Juan José Martínez & Francisco J. Vázquez, 2021. "Productivity and unemployment: an ABM approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 133-151, January.
    16. Ke Guo & Xuemeng Guo & Jun Zhang, 2023. "Financial asset allocation duality and enterprise upgrading: empirical evidence from the Chinese A-share market," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    17. Lauretta, Eliana, 2018. "The hidden soul of financial innovation: An agent-based modelling of home mortgage securitization and the finance-growth nexus," Economic Modelling, Elsevier, vol. 68(C), pages 51-73.
    18. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.
    19. Caiani, Alessandro & Catullo, Ermanno & Gallegati, Mauro, 2019. "The effects of alternative wage regimes in a monetary union: A multi-country agent based-stock flow consistent model," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 389-416.

  28. Russo, Alberto & Riccetti, Luca & Gallegati, Mauro, 2013. "Increasing Inequality and Financial Fragility in an An Agent Based Macroeconomic Model," MPRA Paper 51528, University Library of Munich, Germany.

    Cited by:

    1. Safarzyńska, Karolina & van den Bergh, Jeroen C.J.M., 2017. "Financial stability at risk due to investing rapidly in renewable energy," Energy Policy, Elsevier, vol. 108(C), pages 12-20.

  29. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2012. "An Agent Based Decentralized Matching Macroeconomic Model," MPRA Paper 42211, University Library of Munich, Germany.

    Cited by:

    1. Alessandro Taberna & Tatiana Filatova & Andrea Roventini & Francesco Lamperti, 2021. "Coping with increasing tides: technological change, agglomeration dynamics and climate hazards in an agent-based evolutionary model," LEM Papers Series 2021/44, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2023. "Enter the MATRIX model:a Multi-Agent model for Transition Risks with application to energy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    3. Krug, Sebastian, 2017. "The interaction between monetary and macroprudential policy: Should central banks "lean against the wind" to foster macro-financial stability?," Economics Discussion Papers 2017-85, Kiel Institute for the World Economy (IfW Kiel).
    4. Pascal Seppecher & Isabelle Salle & Marc Lavoie, 2017. "What drives markups? Evolutionary pricing in an agent-based stock-flow consistent macroeconomic model," CEPN Working Papers 2017-03, Centre d'Economie de l'Université de Paris Nord.
    5. Salle, Isabelle & Yildizoglu, Murat & Zumpe, Martin & Sénégas, Marc-Alexandre, 2017. "Coordination through social learning in a general equilibrium model," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 64-82.
    6. Li, Xi Hao & Gallegati, Mauro, 2015. "Sectoral Imbalance in Two-Sector Economy with Mobility Constraint and Firm Migration," MPRA Paper 66002, University Library of Munich, Germany.
    7. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2018. "What if supply-side policies are not enough ? The perverse interaction of flexibility and austerity," SciencePo Working papers Main hal-03458460, HAL.
    8. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    9. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "When more Flexibility Yields more Fragility: the Microfoundations of Keynesian Aggregate Unemployment," LEM Papers Series 2016/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    10. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    11. Lilian N. Rolim & Carolina Troncoso Baltar & Gilberto Tadeu Lima, 2023. "Income distribution, productivity growth, and workers’ bargaining power in an agent-based macroeconomic model," Journal of Evolutionary Economics, Springer, vol. 33(2), pages 473-516, April.
    12. Luca Eduardo Fierro & Alessandro Caiani & Alberto Russo, 2021. "Automation, job polarisation, and structural change," Working Papers 2021/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    13. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Financialisation and crisis in an agent based macroeconomic model," Economic Modelling, Elsevier, vol. 52(PA), pages 162-172.
    14. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2020. "Are Higher Wages Good For Business? An Assessment Under Alternative Innovation And Investment Scenarios," Macroeconomic Dynamics, Cambridge University Press, vol. 24(1), pages 191-230, January.
    15. Fanti, Lucrezia, 2018. "An AB-SFC Model of Induced Technical Change along Classical and Keynesian Lines," MPRA Paper 86929, University Library of Munich, Germany.
    16. Taberna, Alessandro & Filatova, Tatiana & Roventini, Andrea & Lamperti, Francesco, 2022. "Coping with increasing tides: Evolving agglomeration dynamics and technological change under exacerbating hazards," Ecological Economics, Elsevier, vol. 202(C).
    17. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    18. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    19. Chen, Siyan & Desiderio, Saul, 2017. "What moves the Beveridge curve and the Phillips curve: An agent-based analysis," Economics Discussion Papers 2017-65, Kiel Institute for the World Economy (IfW Kiel).
    20. Giovanni Dosi & Andrea Roventini & Emanuele Russo, 2020. "Public policies and the art of catching up: matching the historical evidence with a multi-country agent-based model," LEM Papers Series 2020/10, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    21. Zakaria Babutsidze & Maurizio Iacopetta, 2016. "Innovation, growth and financial market," Sciences Po publications info:hdl:2441/258fqttgag8, Sciences Po.
    22. Caiani, Alessandro & Godin, Antoine & Caverzasi, Eugenio & Gallegati, Mauro & Kinsella, Stephen & Stiglitz, Joseph E., 2016. "Agent based-stock flow consistent macroeconomics: Towards a benchmark model," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 375-408.
    23. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    24. Giovanni Dosi & Andrea Roventini & Emmanuele Russo, 2018. "Endogenous growth and global divergence in a multi-country agent - based model," SciencePo Working papers Main hal-03471735, HAL.
    25. Luca Eduardo Fierro & Federico Giri & Alberto Russo, 2023. "Inequality-Constrained Monetary Policy in a Financialized Economy," Working Papers 2023/02, Economics Department, Universitat Jaume I, Castellón (Spain).
    26. Ricetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial leverage in an agent based macroeconomic model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-44.
    27. Corrado Di Guilmi, 2017. "The Agent†Based Approach To Post Keynesian Macro†Modeling," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1183-1203, December.
    28. Oliver Richters, 2020. "Modeling the out-of-equilibrium dynamics of bounded rationality and economic constraints," Working Papers V-429-20, University of Oldenburg, Department of Economics, revised Mar 2020.
    29. Elizabeth Jane Casabianca & Alessia Lo Turco & Daniela Maggioni, 2021. "Migration And The Structure Of Manufacturing Production. A View From Italian Provinces," Working Papers 448, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    30. Michel Alexandre da Silva & Gilberto Tadeu Lima, 2015. "Combining Monetary Policy and Prudential Regulation: an agent-based modeling approach," Working Papers Series 394, Central Bank of Brazil, Research Department.
    31. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    32. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    33. Krug, Sebastian & Wohltmann, Hans-Werner, 2016. "Shadow banking, financial regulation and animal spirits: An ACE approach," Economics Working Papers 2016-08, Christian-Albrechts-University of Kiel, Department of Economics.
    34. Luzius Meisser & C. Friedrich Kreuser, 2017. "An Agent-Based Simulation of the Stolper–Samuelson Effect," Computational Economics, Springer;Society for Computational Economics, vol. 50(4), pages 533-547, December.
    35. Orlando Gomes, 2017. "Heterogeneous wage setting and endogenous macro volatility," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(1), pages 27-57, April.
    36. Andrea Borsato, 2022. "An agent-based model for Secular Stagnation in the USA: theory and empirical evidence," Journal of Evolutionary Economics, Springer, vol. 32(4), pages 1345-1389, September.
    37. Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2016. "No Man is an Island: The Impact of Heterogeneity and Local Interactions on Macroeconomic Dynamics," Working Papers hal-03459315, HAL.
    38. LI, XI HAO & Gallegati, Mauro, 2015. "Stock-Flow Dynamic Projection," MPRA Paper 62047, University Library of Munich, Germany.
    39. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Monetary policy and large crises in a financial accelerator agent-based model," FinMaP-Working Papers 65, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    40. Sylvain Barde & Sander van Der Hoog, 2017. "An empirical validation protocol for large-scale agent-based models," SciencePo Working papers Main hal-03458672, HAL.
    41. Seppecher, Pascal, 2014. "Pour une macroéconomie monétaire dynamique et complexe," Revue de la Régulation - Capitalisme, institutions, pouvoirs, Association Recherche et Régulation, vol. 16.
    42. Richters, Oliver, 2020. "Between bounded rationality and economic imperatives: essays on out-of-equilibrium dynamics," EconStor Theses, ZBW - Leibniz Information Centre for Economics, number 228534, October.
    43. Ron Wallace, 2021. "Configuring Hayek versus Keynes: Decentralisation, regulation, and computational discovery procedures," Economic Affairs, Wiley Blackwell, vol. 41(3), pages 465-471, October.
    44. Pascal Seppecher & Isabelle Salle, 2015. "Deleveraging crises and deep recessions: a behavioural approach," Applied Economics, Taylor & Francis Journals, vol. 47(34-35), pages 3771-3790, July.
    45. Severin Reissl, 2022. "Fiscal multipliers, expectations and learning in a macroeconomic agent‐based model," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1704-1729, October.
    46. Chen, Siyan & Desiderio, Saul, 2019. "Job duration and inequality," Economics Discussion Papers 2019-44, Kiel Institute for the World Economy (IfW Kiel).
    47. Guilmi, Corrado Di & Fujiwara, Yoshi, 2022. "Dual labor market, financial fragility, and deflation in an agent-based model of the Japanese macroeconomy," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 346-371.
    48. Gennaro Zezza & Michalis Nikiforos, 2017. "Stock-flow Consistent Macroeconomic Models: A Survey," EcoMod2017 10762, EcoMod.
    49. Onur YENİ & Zeynep YENER-GÖK & Özgür TEOMAN, 2020. "Irrigation Systems Transformation in Cotton Production in the Harran District, Turkey: Implications of an Agent-Based Model," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(45).
    50. Michel Alexandre & Gilberto Tadeu Lima, 2019. "Macroeconomic Impacts of Trade Credit: An Agent-Based Modeling Exploration," Working Papers, Department of Economics 2019_31, University of São Paulo (FEA-USP).
    51. Andrea Mazzocchetti & Eliana Lauretta & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2020. "Systemic financial risk indicators and securitised assets: an agent-based framework," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 9-47, January.
    52. D'Orazio, Paola, 2019. "Income inequality, consumer debt, and prudential regulation: An agent-based approach to study the emergence of crises and financial instability," Economic Modelling, Elsevier, vol. 82(C), pages 308-331.
    53. Alessandro Caiani & Ermanno Catullo, 2023. "Fiscal Transfers and Common Debt in a Monetary Union: A Multi-Country Agent Based-Stock Flow Consistent Model," LEM Papers Series 2023/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    54. Alberto Russo & Luca Riccetti & Mauro Gallegati, 2016. "Increasing inequality, consumer credit and financial fragility in an agent based macroeconomic model," Journal of Evolutionary Economics, Springer, vol. 26(1), pages 25-47, March.
    55. Gross, Marco, 2022. "Beautiful cycles: A theory and a model implying a curious role for interest," Economic Modelling, Elsevier, vol. 106(C).
    56. Michel Alexandre & Gilberto Tadeu Lima & Luca Riccetti & Alberto Russo, 2022. "The financial network channel of monetary policy transmission: An agent-based model," Working Papers 2022/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    57. Emanuele Russo, 2017. "Harrodian instability in decentralized economies: an agent-based approach," LEM Papers Series 2017/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    58. Giovanni Dosi & Andrea Roventini & Emmanuele Russo, 2020. "Public Policies And The Art Of Catching Up," Working Papers hal-03242369, HAL.
    59. Domenico Delli Gatti & Roberta Terranova & Enrico Maria Turco, 2023. "Mind the Knowledge Gap! The Origins of Declining Business Dynamism in a Macro Agent-Based Model," CESifo Working Paper Series 10694, CESifo.
    60. Bauermann, Tom, 2020. "Governmental policies to reduce unemployment during recessions: Insights from an ABM," Ruhr Economic Papers 847, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    61. Andrea Borsato, 2021. "Simple Matching Protocols for Agent-based Models," Working Papers of BETA 2021-35, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    62. Papadopoulos, Georgios, 2019. "Income inequality, consumption, credit and credit risk in a data-driven agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 104(C), pages 39-73.
    63. Russo, Alberto & Riccetti, Luca & Gallegati, Mauro, 2013. "Increasing Inequality and Financial Fragility in an An Agent Based Macroeconomic Model," MPRA Paper 51528, University Library of Munich, Germany.
    64. Emanuele Ciola & EDOARDO GAFFEO & Mauro Gallegati, 2018. "Matching frictions, credit reallocation and macroeconomic activity: how harmful are financial crises?," DEM Working Papers 2018/05, Department of Economics and Management.
    65. Andrea Borsato, 2021. "An Agent-based Model for Secular Stagnation in the USA: Theory and Empirical Evidence," LEM Papers Series 2021/09, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    66. Catullo, Ermanno & Giri, Federico & Gallegati, Mauro, 2021. "Macro- And Microprudential Policies: Sweet And Lowdown In A Credit Network Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 25(5), pages 1227-1246, July.
    67. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).
    68. Emanuele Russo, 2021. "Harrodian instability in decentralized economies: an agent-based approach," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 539-567, July.
    69. Gräbner, Claudius & Heimberger, Philipp & Kapeller, Jakob & Landesmann, Michael & Schütz, Bernhard, 2021. "The evolution of debtor-creditor relationships within a monetary union: Trade imbalances, excess reserves and economic policy," ifso working paper series 10, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    70. Glötzl, Erhard, 2022. "Macroeconomic General Constrained Dynamic models (GCD models)," MPRA Paper 112385, University Library of Munich, Germany.
    71. Pascal Seppecher & Isabelle Salle & Dany Lang, 2016. "Is the market really a good teacher ?," Post-Print hal-01314335, HAL.
    72. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2016. "Does Inequality Hamper Innovation and Growth?," MPRA Paper 71864, University Library of Munich, Germany.
    73. Ciola, Emanuele & Gaffeo, Edoardo & Gallegati, Mauro, 2022. "Search for profits and business fluctuations: How does banks’ behaviour explain cycles?," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    74. João Silvestre & Tanya Araújo & Miguel St. Aubyn, 2019. "Individual Satisfaction and Economic Growth in an Agent-Based Economy," Computational Economics, Springer;Society for Computational Economics, vol. 54(3), pages 893-903, October.
    75. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.
    76. Alessandro Caiani & Alberto Russo & Mauro Gallegati, 2019. "Does inequality hamper innovation and growth? An AB-SFC analysis," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 177-228, March.
    77. Alessandro Caiani & Ermanno Catullo & Mauro Gallegati, 2018. "The effects of fiscal targets in a monetary union: a multi-country agent-based stock flow consistent model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1123-1154.
    78. Lilian Rolim & Laura Carvalho & Dany Lang, 2023. "Monetary policy rules and the inequality-augmented Phillips Curve," Working Papers, Department of Economics 2023_06, University of São Paulo (FEA-USP).
    79. Richters, Oliver, 2015. "Integrating Energy Use into Macroeconomic Stock-Flow Consistent Models," EconStor Theses, ZBW - Leibniz Information Centre for Economics, number 154764, October.
    80. Tedeschi, Gabriele & Vidal-Tomás, David & Delli-Gatti, Domenico & Gallegati, Mauro, 2021. "The macroeconomic effects of default and debt restructuring: An agent based exploration," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 1146-1163.
    81. Catullo, Ermanno & Gallegati, Mauro, 2015. "Multi-country decentralized agent based model: Macroeconomic dynamics and vulnerability in a simplified currency union," FinMaP-Working Papers 50, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    82. Krug, Sebastian, 2018. "The interaction between monetary and macroprudential policy: Should central banks 'lean against the wind' to foster macro-financial stability?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-69.
    83. Chen, Siyan & Desiderio, Saul, 2018. "Computational evidence on the distributive properties of monetary policy," Economics Discussion Papers 2018-38, Kiel Institute for the World Economy (IfW Kiel).
    84. Papadopoulos, Georgios, 2020. "Probing the mechanism: lending rate setting in a data-driven agent-based model," MPRA Paper 102749, University Library of Munich, Germany.
    85. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2016. "From financial instability to green finance: the role of banking and monetary policies in the Eurace model," Working Papers 2016/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    86. Emanuele Ciola & Gabriele Tedeschi, 2021. "From interaction to business fluctuations: How credit network explain cycles," Working Papers 2021/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    87. Carlos M. Fernández-Márquez & Matías Fuentes & Juan José Martínez & Francisco J. Vázquez, 2021. "Productivity and unemployment: an ABM approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 133-151, January.
    88. Poledna, Sebastian & Bochmann, Olaf & Thurner, Stefan, 2017. "Basel III capital surcharges for G-SIBs are far less effective in managing systemic risk in comparison to network-based, systemic risk-dependent financial transaction taxes," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 230-246.
    89. Riccetti, Luca & Russo, Alberto & Mauro, Gallegati, 2013. "Financial Regulation in an Agent Based Macroeconomic Model," MPRA Paper 51013, University Library of Munich, Germany.
    90. Terranova, Roberta & Turco, Enrico M., 2022. "Concentration, stagnation and inequality: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 569-595.
    91. John C. Boik, 2014. "First Microsimulation Model of a LEDDA Community Currency-Dollar Economy," Working Paper 0001, Principled Societies Project, revised Oct 2014.
    92. Marco Catola & Silvia Leoni, 2023. "Pollution Abatement and Lobbying in a Cournot Game. An Agent-Based Modelling approach," Discussion Papers 2023/294, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    93. Russo, Alberto, 2013. "Financial Fragility and Macroeconomic Instability in a Heterogeneous Interacting Agents Framework," MPRA Paper 46578, University Library of Munich, Germany.
    94. Emanuele Ciola & Edoardo Gaffeo & Mauro Gallegati, 2021. "Search for Profits and Business Fluctuations: How Banks' Behaviour Explain Cycles?," Working Papers 450, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    95. Michalis Nikiforos & Gennaro Zezza, 2017. "Stock†Flow Consistent Macroeconomic Models: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1204-1239, December.
    96. Lucrezia Fanti, 2021. "‘Kaldor Facts’ and the decline of Wage Share: An agent based-stock flow consistent model of induced technical change along Classical and Keynesian lines," Journal of Evolutionary Economics, Springer, vol. 31(2), pages 379-415, April.
    97. André Veski & Kaire Põder, 2018. "Zero-intelligence agents looking for a job," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(3), pages 615-640, October.
    98. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.
    99. Bargigli, Leonardo & Gallegati, Mauro & Riccetti, Luca & Russo, Alberto, 2014. "Network analysis and calibration of the “leveraged network-based financial accelerator”," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 109-125.
    100. Caiani, Alessandro & Catullo, Ermanno & Gallegati, Mauro, 2019. "The effects of alternative wage regimes in a monetary union: A multi-country agent based-stock flow consistent model," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 389-416.

  30. F. Clementi & M. Gallegati & G. Kaniadakis, 2012. "A generalized statistical model for the size distribution of wealth," Papers 1209.4787, arXiv.org, revised Dec 2012.

    Cited by:

    1. Gere, István & Kelemen, Szabolcs & Tóth, Géza & Biró, Tamás S. & Néda, Zoltán, 2021. "Wealth distribution in modern societies: Collected data and a master equation approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    2. Lidia Ceriani & Vladimir Hlasny & Paolo Verme, 2021. "Bottom Incomes and the Measurement of Poverty: A Brief Assessment of the Literature," Working Papers 589, ECINEQ, Society for the Study of Economic Inequality.
    3. Calderín-Ojeda, Enrique & Azpitarte, Francisco & Gómez-Déniz, Emilio, 2016. "Modelling income data using two extensions of the exponential distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 756-766.
    4. Istvan Gere & Szabolcs Kelemen & Geza Toth & Tamas Biro & Zoltan Neda, 2021. "Wealth distribution in modern societies: collected data and a master equation approach," Papers 2104.04134, arXiv.org.
    5. F. Clementi & M. Gallegati, 2016. "New economic windows on income and wealth: The k-generalized family of distributions," Papers 1608.06076, arXiv.org.
    6. Yuri Biondi & Simone Righi, 2019. "Inequality, mobility and the financial accumulation process: a computational economic analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(1), pages 93-119, March.
    7. Soares, Abner D. & Moura Jr., Newton J. & Ribeiro, Marcelo B., 2016. "Tsallis statistics in the income distribution of Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 158-171.
    8. Anna Stelzer, 2023. "Monetary policy and the joint distribution of income and wealth: The heterogeneous case of the euro area," Papers 2304.14264, arXiv.org.
    9. Aktaev, Nurken E. & Bannova, K.A., 2022. "Mathematical modeling of probability distribution of money by means of potential formation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 595(C).
    10. José María Sarabia & Vanesa Jordá & Lorena Remuzgo, 2017. "The Theil Indices in Parametric Families of Income Distributions—A Short Review," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 867-880, December.
    11. Sarabia, José María & Jordá, Vanesa, 2014. "Explicit expressions of the Pietra index for the generalized function for the size distribution of income," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 582-595.

  31. Edoardo Gaffeo & Mauro Gallegati & Umberto Gostoli, 2012. "An agent-based "proof of principle" for Walrasian macroeconomic theory," CEEL Working Papers 1202, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.

    Cited by:

    1. Gérard Ballot & Antoine Mandel & Annick Vignes, 2015. "Agent-based modeling and economic theory: where do we stand?," PSE-Ecole d'économie de Paris (Postprint) halshs-01296643, HAL.
    2. Orsolya Hau-Horváth & Tamás Mellár & Tamás Sebestyén, 2012. "Láthatóvá tehető-e a láthatatlan kéz? Egy ágens-alapú piaci modell tapasztalatai," UPFBE Working Paper Series 2012/4, Faculty of Business and Economics, University Pécs.
    3. Emanuele Ciola & EDOARDO GAFFEO & Mauro Gallegati, 2018. "Matching frictions, credit reallocation and macroeconomic activity: how harmful are financial crises?," DEM Working Papers 2018/05, Department of Economics and Management.
    4. Ciola, Emanuele & Gaffeo, Edoardo & Gallegati, Mauro, 2022. "Search for profits and business fluctuations: How does banks’ behaviour explain cycles?," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    5. Váry, Miklós, 2015. "Piaci alkalmazkodás ragadós árak mellett - Calvo-típusú ármerevség egy ágensalapú modellben [Market adjustment under sticky prices: the price rigidity of a Calvo type in an agent-based model]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 48-77.

  32. Ruggero GRILLI & Gabriele TEDESCHI & Mauro GALLEGATI, 2012. "Markets connectivity and financial contagion," Working Papers 382, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

    Cited by:

    1. Li, Xi Hao & Gallegati, Mauro, 2015. "Sectoral Imbalance in Two-Sector Economy with Mobility Constraint and Firm Migration," MPRA Paper 66002, University Library of Munich, Germany.
    2. Emanuele Ciola, 2020. "Financial sector bargaining power, aggregate growth and systemic risk," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 89-109, January.
    3. Edoardo Gaffeo & Lucio Gobbi & Massimo Molinari, 2019. "The economics of netting in financial networks," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 595-622, September.
    4. Hatzopoulos, V. & Iori, G. & Mantegna, R. & Micciche, S. & Tumminello, M., 2013. "Quantifying preferential trading in the e-MID interbank market," Working Papers 13/14, Department of Economics, City University London.
    5. Orlando Gomes, 2017. "Heterogeneous wage setting and endogenous macro volatility," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(1), pages 27-57, April.
    6. Giulia Iori & Rosario N. Mantegna & Luca Marotta & Salvatore Micciche' & James Porter & Michele Tumminello, 2014. "Networked relationships in the e-MID Interbank market: A trading model with memory," Papers 1403.3638, arXiv.org.
    7. Eralba CELA & Tineke FOKKEMA & Elena AMBROSETTI, 2012. "Links Between Transnationalism Integration and Duration of Residence: The Case of eastern European Migrants in Italy," Working Papers 386, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    8. Gabbi, Giampaolo & Iori, Giulia & Jafarey, Saqib & Porter, James, 2015. "Financial regulations and bank credit to the real economy," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 117-143.
    9. Toni Ricardo Eugenio dos Santos & Marcio Issao Nakane, 2019. "Dynamic Bank Runs: an agent-based approach," Working Papers, Department of Economics 2019_07, University of São Paulo (FEA-USP).
    10. Catullo, Ermanno & Gallegati, Mauro & Palestrini, Antonio, 2015. "Towards a credit network based early warning indicator for crises," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 78-97.
    11. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica [A simple spatial economic model: a proposal]," MPRA Paper 67005, University Library of Munich, Germany.
    12. Gian Paolo Clemente & Rosanna Grassi & Chiara Pederzoli, 2020. "Networks and market-based measures of systemic risk: the European banking system in the aftermath of the financial crisis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 159-181, January.
    13. Berardi, Simone & Tedeschi, Gabriele, 2015. "From banks' strategies to financial (in)stability," FinMaP-Working Papers 47, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    14. Rocco Caferra & Gabriele Tedeschi & Andrea Morone, 2023. "Agents interaction and price dynamics: evidence from the laboratory," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 251-274, April.
    15. Maria Elvira Mancino & Simona Sanfelici, 2020. "Identifying financial instability conditions using high frequency data," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 221-242, January.
    16. Simone Berardi & Gabriele Tedeschi, 2016. "How banks’ strategies influence financial cycles: An approach to identifying micro behavior," Working Papers 2016/24, Economics Department, Universitat Jaume I, Castellón (Spain).
    17. Hosseiny, Ali & Gallegati, Mauro, 2017. "Role of intensive and extensive variables in a soup of firms in economy to address long run prices and aggregate data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 51-59.
    18. Bernardo Alves Furtado & Isaque Daniel Rocha Eberhardt, 2015. "A simple agent-based spatial model of the economy: tools for policy," Papers 1510.04967, arXiv.org, revised Oct 2016.
    19. Yuri Biondi & Feng Zhou, 2017. "Interbank Credit and the Money Manufacturing Process. A Systemic Perspective on Financial Stability," Papers 1702.08774, arXiv.org.
    20. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.
    21. Emanuele Ciola & Gabriele Tedeschi, 2021. "From interaction to business fluctuations: How credit network explain cycles," Working Papers 2021/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    22. Demian Macedo & Victor Troster, 2021. "Liquidity shocks and interbank market failures: the role of deposit flights, non-performing loans, and competition," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(4), pages 705-746, October.
    23. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046.
    24. Tao Xu & Jianmin He & Shouwei Li, 2016. "Multi-Channel Contagion In Dynamic Interbank Market Network," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(06n07), pages 1-25, September.
    25. Qianqian Gao & Hong Fan, 2020. "Macroprudential regulation for a dynamic Chinese banking system with a scale-free network," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(3), pages 579-611, July.
    26. Shanshan Jiang & Hong Fan, 2019. "Systemic Risk in the Interbank Market with Overlapping Portfolios," Complexity, Hindawi, vol. 2019, pages 1-12, April.
    27. Andre R. Neveu, 2018. "A survey of network-based analysis and systemic risk measurement," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 241-281, July.
    28. Edoardo Gaffeo & Mauro Gallegati & Lucio Gobbi, 2022. "Endogenous clearinghouse formation in payment networks," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 109-136, April.
    29. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    30. Sharif Mazumder & Louis R. Piccotti, 2023. "Systemic Risk: Bank Characteristics Matter," Journal of Financial Services Research, Springer;Western Finance Association, vol. 64(2), pages 265-301, October.
    31. Maria Cristina Recchioni & Gabriele Tedeschi, 2016. "From bond yield to macroeconomic instability: The effect of negative interest rates," Working Papers 2016/06, Economics Department, Universitat Jaume I, Castellón (Spain).

  33. Bargigli, Leonardo & Gallegati, Mauro, 2012. "Finding communities in credit networks," Economics Discussion Papers 2012-41, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Luca Marotta & Salvatore Miccichè & Yoshi Fujiwara & Hiroshi Iyetomi & Hideaki Aoyama & Mauro Gallegati & Rosario N Mantegna, 2015. "Bank-Firm Credit Network in Japan: An Analysis of a Bipartite Network," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-18, May.
    2. Monica Billio & Roberto Casarin & Luca Rossini, 2016. "Bayesian nonparametric sparse VAR models," Papers 1608.02740, arXiv.org, revised Oct 2018.
    3. Catullo, Ermanno & Gallegati, Mauro & Palestrini, Antonio, 2015. "Towards a credit network based early warning indicator for crises," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 78-97.
    4. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Benjamin Miranda Tabak, 2015. "Network Structure Analysis of the Brazilian Interbank Market," Working Papers Series 391, Central Bank of Brazil, Research Department.
    5. Wäckerle, Manuel, 2013. "On the bottom-up foundations of the banking-macro nexus," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-45.
    6. Casarin, Roberto & Costola, Michele & Yenerdag, Erdem, 2018. "Financial bridges and network communities," SAFE Working Paper Series 208, Leibniz Institute for Financial Research SAFE, revised 2018.
    7. Dániel Kondor & Márton Pósfai & István Csabai & Gábor Vattay, 2014. "Do the Rich Get Richer? An Empirical Analysis of the Bitcoin Transaction Network," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-10, February.

  34. Luca RICCETTI & Alberto RUSSO & Mauro GALLEGATI, 2011. "Leveraged Network-Based Financial Accelerator," Working Papers 371, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

    Cited by:

    1. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," Working Papers hal-03459508, HAL.
    2. Gallegati, Mauro & Kirman, Alan, 2019. "20 years of WEHIA: A journey in search of a safer road," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 5-14.
    3. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    4. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Financialisation and crisis in an agent based macroeconomic model," Economic Modelling, Elsevier, vol. 52(PA), pages 162-172.
    5. Ítalo Pedrosa & Dany Lang, 2018. "Heterogeneity, distribution and financial fragility of non-financial firms: an agent-based stock-flow consistent (AB-SFC) model," CEPN Working Papers hal-01937186, HAL.
    6. Gallegati, Mauro & Giammetti, Raffaele & Russo, Alberto, 2019. "Key sectors in Input-Output Production Networks: an application to Brexit," MPRA Paper 92559, University Library of Munich, Germany.
    7. Siyan Chen & Saul Desiderio, 2018. "Long-run consequences of debt," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 365-383, July.
    8. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    9. Otto, Christian & Willner, Sven Norman & Wenz, Leonie & Frieler, Katja & Levermann, Anders, 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," OSF Preprints 7yyhd, Center for Open Science.
    10. Chen, Siyan & Desiderio, Saul, 2017. "What moves the Beveridge curve and the Phillips curve: An agent-based analysis," Economics Discussion Papers 2017-65, Kiel Institute for the World Economy (IfW Kiel).
    11. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    12. Wolski, Marcin & van de Leur, Michiel, 2016. "Interbank loans, collateral and modern monetary policy," Working Paper Series 1959, European Central Bank.
    13. Caiani, Alessandro & Godin, Antoine & Caverzasi, Eugenio & Gallegati, Mauro & Kinsella, Stephen & Stiglitz, Joseph E., 2016. "Agent based-stock flow consistent macroeconomics: Towards a benchmark model," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 375-408.
    14. Ricetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial leverage in an agent based macroeconomic model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-44.
    15. Corrado Di Guilmi, 2017. "The Agent†Based Approach To Post Keynesian Macro†Modeling," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1183-1203, December.
    16. Deborah Noguera & Gabriel Montes-Rojas, 2023. "Minskyan model with credit rationing in a network economy," SN Business & Economics, Springer, vol. 3(3), pages 1-26, March.
    17. Michel Alexandre da Silva & Gilberto Tadeu Lima, 2015. "Combining Monetary Policy and Prudential Regulation: an agent-based modeling approach," Working Papers Series 394, Central Bank of Brazil, Research Department.
    18. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    19. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2012. "An Agent Based Decentralized Matching Macroeconomic Model," MPRA Paper 42211, University Library of Munich, Germany.
    20. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    21. Meijers H. & Nomaler Z.O. & Verspagen B., 2014. "Demand, credit and macroeconomic dynamics: A microsimulation model," MERIT Working Papers 2014-047, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    22. Otto, C. & Willner, S.N. & Wenz, L. & Frieler, K. & Levermann, A., 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 232-269.
    23. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2017. "Faraway, so Close: Coupled Climate and Economic Dynamics in an Agent-Based Integrated Assessment Model," LEM Papers Series 2017/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    24. Eralba CELA & Tineke FOKKEMA & Elena AMBROSETTI, 2012. "Links Between Transnationalism Integration and Duration of Residence: The Case of eastern European Migrants in Italy," Working Papers 386, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    25. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2015. "Stock Market Dynamics, Leveraged Network-Based Financial Accelerator and Monetary Policy," MPRA Paper 63622, University Library of Munich, Germany.
    26. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Monetary policy and large crises in a financial accelerator agent-based model," FinMaP-Working Papers 65, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    27. Yong Li & Ziyi Zhang & Tong Niu, 2022. "Two-Way Risk Spillover of Financial and Real Sectors in the Presence of Major Public Emergencies," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    28. Simone LENZU & Gabriele TEDESCHI, 2012. "Systemic risk on different interbank network topologies," Working Papers 375, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    29. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2014. "Micro and Macro Policies in Keynes+Schumpeter Evolutionary Models," LEM Papers Series 2014/21, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    30. Carlos Madeira, 2019. "Measuring the Covariance Risk of Consumer Debt Portfolios," 2019 Meeting Papers 240, Society for Economic Dynamics.
    31. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    32. Catullo, Ermanno & Gallegati, Mauro & Palestrini, Antonio, 2015. "Towards a credit network based early warning indicator for crises," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 78-97.
    33. Ilker Arslan & Eugenio Caverzasi & Mauro Gallegati & Alper Duman, 2016. "Long Term Impacts of Bank Behavior on Financial Stability. an Agent Based Modeling Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(1), pages 1-11.
    34. Alberto Russo & Luca Riccetti & Mauro Gallegati, 2016. "Increasing inequality, consumer credit and financial fragility in an agent based macroeconomic model," Journal of Evolutionary Economics, Springer, vol. 26(1), pages 25-47, March.
    35. Gross, Marco, 2022. "Beautiful cycles: A theory and a model implying a curious role for interest," Economic Modelling, Elsevier, vol. 106(C).
    36. Michel Alexandre & Gilberto Tadeu Lima & Luca Riccetti & Alberto Russo, 2022. "The financial network channel of monetary policy transmission: An agent-based model," Working Papers 2022/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    37. Bence Mérõ, 2019. "Novel Modelling of the Operation of the Financial Intermediary System – Agent-based Macro Models," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 18(3), pages 83-113.
    38. Alberto Russo, 2014. "A Stochastic Model of Wealth Accumulation with Class Division," Metroeconomica, Wiley Blackwell, vol. 65(1), pages 1-35, February.
    39. Leonardo Bargigli & Luca Riccetti & Alberto Russo & Mauro Gallegati, 2016. "Network Calibration and Metamodeling of a Financial Accelerator Agent Based Model," Working Papers - Economics wp2016_01.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    40. Li, Zhinan & Pei, Shan & Li, Ting & Wang, Yu, 2023. "Risk spillover network in the supply chain system during the COVID-19 crisis: Evidence from China," Economic Modelling, Elsevier, vol. 126(C).
    41. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2014. "Fiscal and monetary policies in complex evolving economies," Working Papers hal-03460560, HAL.
    42. Russo, Alberto & Riccetti, Luca & Gallegati, Mauro, 2013. "Increasing Inequality and Financial Fragility in an An Agent Based Macroeconomic Model," MPRA Paper 51528, University Library of Munich, Germany.
    43. Rzeszutek, Marcin & Godin, Antoine & Szyszka, Adam & Augier, Stanislas, 2020. "Managerial overconfidence in initial public offering decisions and its impact on macrodynamics and financial stability: Analysis using an agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 118(C).
    44. Catullo, Ermanno & Giri, Federico & Gallegati, Mauro, 2021. "Macro- And Microprudential Policies: Sweet And Lowdown In A Credit Network Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 25(5), pages 1227-1246, July.
    45. Teglio, Andrea & Mazzocchetti, Andrea & Ponta, Linda & Raberto, Marco & Cincotti, Silvano, 2019. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 59-83.
    46. Kuhla, Kilian & Willner, Sven N & Otto, Christian & Levermann, Anders, 2023. "Resilience of international trade to typhoon-related supply disruptions," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    47. Gräbner, Claudius & Heimberger, Philipp & Kapeller, Jakob & Landesmann, Michael & Schütz, Bernhard, 2021. "The evolution of debtor-creditor relationships within a monetary union: Trade imbalances, excess reserves and economic policy," ifso working paper series 10, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    48. Hosszú, Zsuzsanna & Mérő, Bence, 2017. "Hitelciklusok és anticiklikus tőkepuffer egy ágensalapú keynesi modellben [Credit cycles and the counter-cyclical capital buffer in an agent-based Keynesian model]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 457-475.
    49. Douglas da Rosa München & Herbert Kimura, 2020. "Regulatory Banking Leverage: what do you know?," Working Papers Series 540, Central Bank of Brazil, Research Department.
    50. Ciola, Emanuele & Gaffeo, Edoardo & Gallegati, Mauro, 2022. "Search for profits and business fluctuations: How does banks’ behaviour explain cycles?," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    51. Rémi Stellian & Gabriel I. Penagos & Jenny P. Danna-Buitrago, 2021. "Firms in financial distress: evidence from inter-firm payment networks with volatility driven by ‘animal spirits’," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 59-101, January.
    52. Yuri Biondi & Feng Zhou, 2017. "Interbank Credit and the Money Manufacturing Process. A Systemic Perspective on Financial Stability," Papers 1702.08774, arXiv.org.
    53. Brancaccio, Emiliano & Giammetti, Raffaele & Lopreite, Milena & Puliga, Michelangelo, 2018. "Centralization of capital and financial crisis: A global network analysis of corporate control," Structural Change and Economic Dynamics, Elsevier, vol. 45(C), pages 94-104.
    54. Paolo Tasca & Stefano Battiston, "undated". "Market Procyclicality and Systemic Risk," Working Papers ETH-RC-12-012, ETH Zurich, Chair of Systems Design.
    55. He, Jianmin & Sui, Xin & Li, Shouwei, 2016. "An endogenous model of the credit network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 1-14.
    56. Alessandro Caiani & Ermanno Catullo & Mauro Gallegati, 2018. "The effects of fiscal targets in a monetary union: a multi-country agent-based stock flow consistent model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1123-1154.
    57. Di Guilmi, C. & Gallegati, M. & Landini, S. & Stiglitz, J.E., 2020. "An analytical solution for network models with heterogeneous and interacting agents," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 189-220.
    58. da Rosa München, Douglas, 2022. "The effect of financial distress on capital structure: The case of Brazilian banks," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 296-304.
    59. Emanuele Ciola & Gabriele Tedeschi, 2021. "From interaction to business fluctuations: How credit network explain cycles," Working Papers 2021/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    60. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial factors in an agent-based macroeconomic model," Economics Discussion Papers 2013-9, Kiel Institute for the World Economy (IfW Kiel).
    61. Dawid, H. & Harting, P. & Neugart, M., 2014. "Economic convergence: Policy implications from a heterogeneous agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 44(C), pages 54-80.
    62. Domenico Delli Gatti & Elisa Grugni, 2021. "Breaking Bad: Supply Chain Disruptions in a Streamlined Agent Based Model," CESifo Working Paper Series 9029, CESifo.
    63. Poledna, Sebastian & Bochmann, Olaf & Thurner, Stefan, 2017. "Basel III capital surcharges for G-SIBs are far less effective in managing systemic risk in comparison to network-based, systemic risk-dependent financial transaction taxes," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 230-246.
    64. Ermanno Catullo & Antonio Palestrini & Ruggero Grilli & Mauro Gallegati, 2018. "Early warning indicators and macro-prudential policies: a credit network agent based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 81-115, April.
    65. Riccetti, Luca & Russo, Alberto & Mauro, Gallegati, 2013. "Financial Regulation in an Agent Based Macroeconomic Model," MPRA Paper 51013, University Library of Munich, Germany.
    66. Marco Catola & Silvia Leoni, 2023. "Pollution Abatement and Lobbying in a Cournot Game. An Agent-Based Modelling approach," Discussion Papers 2023/294, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    67. Russo, Alberto, 2013. "Financial Fragility and Macroeconomic Instability in a Heterogeneous Interacting Agents Framework," MPRA Paper 46578, University Library of Munich, Germany.
    68. Andre R. Neveu, 2018. "A survey of network-based analysis and systemic risk measurement," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 241-281, July.
    69. Edoardo Gaffeo & Mauro Gallegati & Lucio Gobbi, 2022. "Endogenous clearinghouse formation in payment networks," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 109-136, April.
    70. Alessandro STERLACCHINI, 2012. "Patent Oppositions as Competitive Tools: An Analysis of the Major Players in the European Market of White Goods," Working Papers 374, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    71. Ítalo Pedrosa & Dany Lang, 2021. "To what extent does aggregate leverage determine financial fragility? New insights from an agent-based stock-flow consistent model," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1221-1275, September.
    72. Rémi Stellian & Jenny P. Danna‐Buitrago, 2020. "Financial distress, free cash flow, and interfirm payment network: Evidence from an agent‐based model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 598-616, October.
    73. Deborah Noguera & Gabriel Montes-Rojas, 2022. "Credit-constrained fluctuations and uncertainty in a network economy," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(80), pages 5-52, November.
    74. Li, Shouwei & Sui, Xin, 2016. "Contagion risk in endogenous financial networks," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 591-597.
    75. Catullo, Ermanno & Gallegati, Mauro & Palestrini, Antonio, 2015. "Systemic risk and macro-prudential policies: A credit network-based approach," FinMaP-Working Papers 39, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    76. Bargigli, Leonardo & Gallegati, Mauro & Riccetti, Luca & Russo, Alberto, 2014. "Network analysis and calibration of the “leveraged network-based financial accelerator”," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 109-125.

  35. Mauro Gallegati, 2011. "Random Digraphs with Given Expected Degree Sequences: A Model for Economic Networks," Post-Print hal-00989518, HAL.

    Cited by:

    1. Orlando Gomes, 2017. "Heterogeneous wage setting and endogenous macro volatility," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(1), pages 27-57, April.
    2. L. Bargigli & G. di Iasio & L. Infante & F. Lillo & F. Pierobon, 2015. "The multiplex structure of interbank networks," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 673-691, April.
    3. Bargigli, Leonardo & Gallegati, Mauro, 2013. "Finding communities in credit networks," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-39.
    4. Leonardo Bargigli, 2013. "Statistical Equilibrium Models for Sparse Economic Networks," Working Papers - Economics wp2013_25.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    5. Catullo, Ermanno & Gallegati, Mauro & Palestrini, Antonio, 2015. "Towards a credit network based early warning indicator for crises," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 78-97.
    6. Leonardo Bargigli & Luca Riccetti & Alberto Russo & Mauro Gallegati, 2016. "Network Calibration and Metamodeling of a Financial Accelerator Agent Based Model," Working Papers - Economics wp2016_01.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    7. Isaiah Hull & Or Sattath & Eleni Diamanti & Goran Wendin, 2020. "Quantum Technology for Economists," Papers 2012.04473, arXiv.org, revised Oct 2021.
    8. Leonardo Bargigli & Giovanni di Iasio & Luigi Infante & Fabrizio Lillo & Federico Pierobon, 2015. "Interbank markets and multiplex networks: centrality measures and statistical null models," Papers 1501.05751, arXiv.org.
    9. Giorgio Fagiolo & Tiziano Squartini & Diego Garlaschelli, 2011. "Null Models of Economic Networks: The Case of the World Trade Web," LEM Papers Series 2011/26, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    10. Deborah Noguera & Gabriel Montes-Rojas, 2022. "Credit-constrained fluctuations and uncertainty in a network economy," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(80), pages 5-52, November.
    11. Bargigli, Leonardo & Gallegati, Mauro & Riccetti, Luca & Russo, Alberto, 2014. "Network analysis and calibration of the “leveraged network-based financial accelerator”," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 109-125.

  36. Jos`e T. Lunardi & Salvatore Miccich`e & Fabrizio Lillo & Rosario N. Mantegna & Mauro Gallegati, 2011. "Do firms share the same functional form of their growth rate distribution? A new statistical test," Papers 1103.2234, arXiv.org.

    Cited by:

    1. Kaldasch, Joachim, 2012. "Evolutionary model of the growth and size of firms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(14), pages 3751-3769.

  37. Hideaki Aoyama & Yoshi Fujiwara & Mauro Gallegati, 2010. "Micro-Macro Relation of Production - The Double Scaling Law for Statistical Physics of Economy -," Papers 1003.2321, arXiv.org.

    Cited by:

    1. Hosseiny, Ali & Gallegati, Mauro, 2017. "Role of intensive and extensive variables in a soup of firms in economy to address long run prices and aggregate data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 51-59.

  38. Mauro Gallegati & Gianfranco Giulioni & Alan Kirman & Antonio Palestrini, 2010. "What's that got to do with the price of fish? Buyers behavior on the Ancona fish market," Working Papers halshs-00545129, HAL.

    Cited by:

    1. Finger, Karl & Fricke, Daniel & Lux, Thomas, 2012. "Network analysis of the e-MID overnight money market: The informational value of different aggregation levels for intrinsic dynamic processes," Kiel Working Papers 1782, Kiel Institute for the World Economy (IfW Kiel).
    2. Daniele Giachini, 2018. "Rationality and Asset Prices under Belief Heterogeneity," LEM Papers Series 2018/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Gobillon, Laurent & Wolff, François-Charles & Guillotreau, Patrice, 2013. "Evaluating the law of one price using micro panel data," CEPR Discussion Papers 9586, C.E.P.R. Discussion Papers.
    4. Sanna Laksa & Daniel Marszalec, 2020. "Morning-Fresh: Declining Prices and the Right-to-Choose in a Faroese Fish Market," CIRJE F-Series CIRJE-F-1141, CIRJE, Faculty of Economics, University of Tokyo.
    5. François-Charles Wolff & Frank Asche, 2022. "Pricing heterogeneity and transaction mode: Evidence from the French fish market," Post-Print hal-03913067, HAL.
    6. Moran, José & Fosset, Antoine & Kirman, Alan & Benzaquen, Michael, 2021. "From ants to fishing vessels: a simple model for herding and exploitation of finite resources," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    7. Yunhan Li & J. Scott Shonkwiler, 2021. "Assessing the Role of Ordering in Sequential English Auctions – Evidence from the Online Western Video Market Auction," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 90-105, January.
    8. Vishnu V. Narayan & Enguerrand Prebet & Adrian Vetta, 2019. "The Declining Price Anomaly is not Universal in Multi-Buyer Sequential Auctions (but almost is)," Papers 1905.00853, arXiv.org.
    9. Daniele Giachini, 2021. "Rationality and asset prices under belief heterogeneity," Journal of Evolutionary Economics, Springer, vol. 31(1), pages 207-233, January.
    10. Sylvain Mignot & Gabriele Tedeschi & Annick Vignes, 2012. "An Agent Based Model of Switching: The Case of Boulogne S/mer Fish Market," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(2), pages 1-3.
    11. Eric Guerci & Alan Kirman & Sonia Moulet, 2014. "Learning to bid in sequential Dutch Auctions," Post-Print halshs-01069634, HAL.
    12. Li, Zhen & Yue, Jinfeng & Kuo, Ching-Chung, 2018. "Design of discrete Dutch auctions with consideration of time," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1159-1171.
    13. Federica De Leo & Pier Paolo Miglietta & Slađana Pavlinović, 2014. "Marine Fisheries and Mariculture in Croatia: Economic and Trade Analysis," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 2(6), pages 53-61, December.

  39. Fabio Tramontana & Mauro Gallegati, 2010. "Economics as a compartmental system: a simple macroeconomic example," Working Papers 1011, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2010.

    Cited by:

    1. Øverby, Harald & Audestad, Jan A. & Szalkowski, Gabriel Andy, 2023. "Compartmental market models in the digital economy—extension of the Bass model to complex economic systems," Telecommunications Policy, Elsevier, vol. 47(1).
    2. M. L. Bertotti & G. Modanese, 2016. "Mathematical models describing the effects of different tax evasion behaviors," Papers 1701.02662, arXiv.org.
    3. Artzrouni, Marc & Tramontana, Fabio, 2013. "The debt trap: a two-compartment train wreck," MPRA Paper 47578, University Library of Munich, Germany.
    4. Silva, César M. & Rosa, Silvério & Alves, Helena & Carvalho, Pedro G., 2016. "A mathematical model for the customer dynamics based on marketing policy," Applied Mathematics and Computation, Elsevier, vol. 273(C), pages 42-53.
    5. Artzrouni, Marc & Tramontana, Fabio, 2014. "The debt trap: A two-compartment train wreck… and how to avoid it," Journal of Policy Modeling, Elsevier, vol. 36(2), pages 241-256.
    6. M. L. Bertotti & G. Modanese, 2018. "Mathematical models describing the effects of different tax evasion behaviors," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 351-363, July.
    7. Aleksejus Kononovicius & Valentas Daniunas, 2013. "Agent-based and macroscopic modeling of the complex socio-economic systems," Papers 1303.3693, arXiv.org, revised Apr 2013.

  40. Domenico Delli Gatti & Mauro Gallegati & Bruce Greenwald & Alberto Russo & Joseph E. Stiglitz, 2010. "Business fluctuations in a credit-network economy," Papers 1006.3521, arXiv.org.

    Cited by:

    1. Andrea Barón & María Victoria Landaberry & Rodrigo Lluberas & Jorge Ponce, 2020. "Commercial and banking credit network in Uruguay," Documentos de trabajo 2020006, Banco Central del Uruguay.
    2. Yoshiharu Maeno & Kenji Nishiguchi & Satoshi Morinaga & Hirokazu Matsushima, 2014. "Impact of credit default swaps on financial contagion," Papers 1411.1356, arXiv.org.
    3. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    4. He, Fang & Chen, Xi, 2016. "Credit networks and systemic risk of Chinese local financing platforms: Too central or too big to fail?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 158-170.
    5. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis," SciencePo Working papers Main hal-01070338, HAL.
    6. Yoshiharu Maeno & Kenji Nishiguchi & Satoshi Morinaga & Hirokazu Matsushima, 2012. "Optimal portfolio for a robust financial system," Papers 1211.5235, arXiv.org, revised Feb 2013.
    7. Roger Koppl & William Luther, 2012. "Hayek, Keynes, and modern macroeconomics," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 25(3), pages 223-241, September.
    8. Mitja Steinbacher & Timotej Jagrič, 2020. "Interbank rules during economic declines: Can banks safeguard capital base?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(2), pages 471-499, April.
    9. Joseph E. Stiglitz, 2013. "Stable Growth in an Era of Crises; Learning from Economic Theory and History," Ekonomi-tek - International Economics Journal, Turkish Economic Association, vol. 2(1), pages 1-39, January.
    10. Joseph E. Stiglitz, 2011. "Rethinking Macroeconomics: What Failed, And How To Repair It," Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 591-645, August.
    11. Maeno, Yoshiharu, 2013. "Transient fluctuation of the prosperity of firms in a network economy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(16), pages 3351-3359.
    12. Russo, Alberto, 2010. "Elementi di novità, meccanismi noti e cause di fondo della recente crisi [Elements of novelty, known mechanisms, and fundamental causes of the recent crisis]," MPRA Paper 21648, University Library of Munich, Germany.
    13. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis: A New Tool for Economic and Policy Analysis," Sciences Po publications 3, Sciences Po.
    14. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models," Post-Print hal-03461262, HAL.
    15. Yoshiharu Maeno & Satoshi Morinaga & Hirokazu Matsushima & Kenichi Amagai, 2012. "Transmission of distress in a bank credit network," Papers 1204.5661, arXiv.org, revised Nov 2012.
    16. Li, Zhinan & Pei, Shan & Li, Ting & Wang, Yu, 2023. "Risk spillover network in the supply chain system during the COVID-19 crisis: Evidence from China," Economic Modelling, Elsevier, vol. 126(C).
    17. Dan Ladley, 2010. "Contagion and risk-sharing on the inter-bank market," Discussion Papers in Economics 11/10, Division of Economics, School of Business, University of Leicester, revised Jan 2013.
    18. Lee, Sangwook & Kim, Min Jae & Lee, Sun Young & Kim, Soo Yong & Ban, Joon Hwa, 2013. "The effect of the subprime crisis on the credit risk in global scale," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2060-2071.
    19. Reissl, Severin, 2020. "Minsky from the bottom up – Formalising the two-price model of investment in a simple agent-based framework," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 109-142.
    20. Hałaj, Grzegorz, 2018. "Agent-based model of system-wide implications of funding risk," Working Paper Series 2121, European Central Bank.
    21. Bolos, Bradut & Bacarea, Vladimir & Marusteri, Marius, 2011. "Approaching Economic Issues through Epidemiology–An Introduction to Business Epidemiology," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 257-276, March.
    22. Domenico Delli Gatti & Mauro Gallegati & Bruce C. Greenwald & Alberto Russo & Joseph E. Stiglitz, 2008. "Financially Constrained Fluctuations in an Evolving Network Economy," NBER Working Papers 14112, National Bureau of Economic Research, Inc.
    23. G. De Masi & M. Gallegati, 2012. "Bank–firms topology in Italy," Empirical Economics, Springer, vol. 43(2), pages 851-866, October.
    24. Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Russo, Alberto & Stiglitz, Joseph E., 2010. "The financial accelerator in an evolving credit network," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1627-1650, September.
    25. Joseph E. Stiglitz, 2010. "Risk and Global Economic Architecture: Why Full Financial Integration May Be Undesirable," NBER Working Papers 15718, National Bureau of Economic Research, Inc.
    26. He, Jianmin & Sui, Xin & Li, Shouwei, 2016. "An endogenous model of the credit network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 1-14.
    27. Hałaj, Grzegorz, 2018. "System-wide implications of funding risk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1151-1181.
    28. Barro, Diana & Basso, Antonella, 2010. "Credit contagion in a network of firms with spatial interaction," European Journal of Operational Research, Elsevier, vol. 205(2), pages 459-468, September.
    29. Ferrari, Massimo, 2014. "The financial meltdown: a model with endogenous default probability," MPRA Paper 59419, University Library of Munich, Germany.
    30. Ichiro Takahashi & Isamu Okada, 2020. "An artificial Wicksell–Keynes economy integrating short-run business cycle and long-term cumulative trend," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 953-998, October.
    31. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046.
    32. Domenico Delli Gatti & Elisa Grugni, 2021. "Breaking Bad: Supply Chain Disruptions in a Streamlined Agent Based Model," CESifo Working Paper Series 9029, CESifo.
    33. Passarella, Marco, 2011. "From the village fair to Wall Street. The Italian reception of Minsky’s economic thought," MPRA Paper 49593, University Library of Munich, Germany.
    34. Stiglitz Joseph E., 2010. "Contagion, Liberalization, and the Optimal Structure of Globalization," Journal of Globalization and Development, De Gruyter, vol. 1(2), pages 1-47, December.
    35. Domenico Delli Gatti & Mauro Gallegati & Bruce Greenwald & Alberto Russo & Joseph Stiglitz, 2009. "Business fluctuations and bankruptcy avalanches in an evolving network economy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(2), pages 195-212, November.
    36. Passarella, Marco, 2011. "The two-price model revisited. A Minskian-Kaleckian reading of the process of 'financialization'," MPRA Paper 32033, University Library of Munich, Germany.
    37. Li, Shouwei & Sui, Xin, 2016. "Contagion risk in endogenous financial networks," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 591-597.
    38. de Area Leão Pereira, Eder Johnson & da Silva, Marcus Fernandes & Pereira, H.B.B., 2017. "Econophysics: Past and present," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 251-261.
    39. Daiki Asanuma, 2013. "Lending attitude as a financial accelerator in a credit network economy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 231-247, October.

  41. GALLEGATI Mauro & GIULIONI Gianfranco & KICHIJI Nozomi, 2010. "Complex Dynamics and Financial Fragility in an Agent Based Model," EcoMod2003 330700059, EcoMod.

    Cited by:

    1. Aßmuth, Pascal, 2015. "Stock price related financial fragility and growth patterns," Center for Mathematical Economics Working Papers 539, Center for Mathematical Economics, Bielefeld University.
    2. Batuo, Enowbi & Mlambo, Kupukile & Asongu, Simplice, 2017. "Linkages between financial development, financial instability, financial liberalisation and economic growth in Africa," MPRA Paper 82641, University Library of Munich, Germany.
    3. Orlando Gomes, 2017. "Heterogeneous wage setting and endogenous macro volatility," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(1), pages 27-57, April.
    4. Gatti, Domenico Delli & Guilmi, Corrado Di & Gaffeo, Edoardo & Giulioni, Gianfranco & Gallegati, Mauro & Palestrini, Antonio, 2005. "A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 489-512, April.
    5. Pascal Seppecher & Isabelle Salle, 2015. "Deleveraging crises and deep recessions: a behavioural approach," Applied Economics, Taylor & Francis Journals, vol. 47(34-35), pages 3771-3790, July.
    6. Aßmuth, Pascal, 2017. "Stock price related financial fragility and growth patterns," Economics Discussion Papers 2017-108, Kiel Institute for the World Economy (IfW Kiel).
    7. Ilker Arslan & Eugenio Caverzasi & Mauro Gallegati & Alper Duman, 2016. "Long Term Impacts of Bank Behavior on Financial Stability. an Agent Based Modeling Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(1), pages 1-11.
    8. Bianchi, Carlo & Cirillo, Pasquale & Gallegati, Mauro & Vagliasindi, Pietro A., 2008. "Validation in agent-based models: An investigation on the CATS model," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 947-964, September.
    9. Ikeda, Yuichi & Aoyama, Hideaki & Iyetomi, Hiroshi & Fujiwara, Yoshi & Souma, Wataru & Kaizoji, Taisei, 2007. "Response of firm agent network to exogenous shock," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 138-148.
    10. Gatti, Domenico Delli & Di Guilmi, Corrado & Gallegati, Mauro & Giulioni, Gianfranco, 2007. "Financial Fragility, Industrial Dynamics, And Business Fluctuations In An Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 11(S1), pages 62-79, November.
    11. Pasquale Cirillo & Carlo Bianchi & Mauro Gallegati & Pietro Vagliasindi, 2006. "Validating and Calibrating Agent-based Models: a Case Study," Computing in Economics and Finance 2006 277, Society for Computational Economics.
    12. Neveu, Andre R., 2013. "Fiscal policy and business cycle characteristics in a heterogeneous agent macro model," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 224-240.
    13. Batuo Enowbi, Michael & Kupukile, Mlambo, 2012. "Financial instability, financial openness and economic growth in african countries," MPRA Paper 43340, University Library of Munich, Germany.
    14. Edgardo Bucciarelli & Marcello Silvestri, 2013. "Hyman P. Minsky's unorthodox approach: recent advances in simulation techniques to develop his theoretical assumptions," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 36(2), pages 299-324.
    15. Barroso, Ricardo Vieira & Lima, Joaquim Ignacio Alves Vasconcellos & Lucchetti, Alexandre Henrique & Cajueiro, Daniel Oliveira, 2016. "Interbank network and regulation policies: an analysis through agent-based simulations with adaptive learning," MPRA Paper 73308, University Library of Munich, Germany.

  42. F. Clementi & M. Gallegati & G. Kaniadakis, 2009. "A k-generalized statistical mechanics approach to income analysis," Papers 0902.0075, arXiv.org, revised Feb 2009.

    Cited by:

    1. Calderín-Ojeda, Enrique & Azpitarte, Francisco & Gómez-Déniz, Emilio, 2016. "Modelling income data using two extensions of the exponential distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 756-766.
    2. F. Clementi & M. Gallegati, 2016. "New economic windows on income and wealth: The k-generalized family of distributions," Papers 1608.06076, arXiv.org.
    3. Elvis Oltean, 2016. "Modelling income, wealth, and expenditure data by use of Econophysics," Papers 1603.08383, arXiv.org.
    4. F. Clementi & M. Gallegati & G. Kaniadakis, 2012. "A generalized statistical model for the size distribution of wealth," Papers 1209.4787, arXiv.org, revised Dec 2012.
    5. Masato Okamoto, 2012. "Evaluation of the goodness of fit of new statistical size distributions with consideration of accurate income inequality estimation," Economics Bulletin, AccessEcon, vol. 32(4), pages 2969-2982.
    6. Soares, Abner D. & Moura Jr., Newton J. & Ribeiro, Marcelo B., 2016. "Tsallis statistics in the income distribution of Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 158-171.
    7. Maria Letizia Bertotti & Giovanni Modanese, 2015. "Economic inequality and mobility in kinetic models for social sciences," Papers 1504.03232, arXiv.org.
    8. Aktaev, Nurken E. & Bannova, K.A., 2022. "Mathematical modeling of probability distribution of money by means of potential formation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 595(C).
    9. Masato Okamoto, 2013. "Extension of the κ-generalized distribution: new four-parameter models for the size distribution of income and consumption," LIS Working papers 600, LIS Cross-National Data Center in Luxembourg.
    10. F. Chami Figueira & N. J. Moura Jr & Marcelo B. Ribeiro, 2010. "The Gompertz-Pareto Income Distribution," Papers 1010.1994, arXiv.org.
    11. Bourguignon, Marcelo & Saulo, Helton & Fernandez, Rodrigo Nobre, 2016. "A new Pareto-type distribution with applications in reliability and income data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 166-175.

  43. G. De Masi & Y. Fujiwara & M. Gallegati & B. Greenwald & J. E. Stiglitz, 2009. "An Analysis of the Japanese Credit Network," Papers 0901.2384, arXiv.org, revised Nov 2010.

    Cited by:

    1. Giulia De Masi & Giorgia Giovannetti & Giorgio Ricchiuti, 2010. "Network Analysis to Detect Common Strategies in the Italian Foreign Direct Investment," Working Papers - Economics wp2010_17.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    2. Yoshi Fujiwara & Hideaki Aoyama & Yuichi Ikeda & Hiroshi Iyetomi & Wataru Souma, 2009. "Structure and temporal change of the credit network between banks and large firms in Japan," Papers 0901.2377, arXiv.org, revised May 2009.
    3. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Joseph E. Stiglitz & Tania Treibich, 2020. "Rational Heuristics? Expectations And Behaviors In Evolving Economies With Heterogeneous Interacting Agents," Economic Inquiry, Western Economic Association International, vol. 58(3), pages 1487-1516, July.
    4. Joseph E. Stiglitz, 2011. "Rethinking Macroeconomics: What Failed, And How To Repair It," Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 591-645, August.
    5. Bargigli, Leonardo & Gallegati, Mauro, 2011. "Random digraphs with given expected degree sequences: A model for economic networks," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 396-411, May.
    6. Bargigli, Leonardo & Gallegati, Mauro, 2013. "Finding communities in credit networks," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-39.
    7. Solange Maria Guerra & Benjamin Miranda Tabak & Rodrigo Cesar de Castro Miranda, 2014. "Do Interconnections Matter for Bank Efficiency?," Working Papers Series 374, Central Bank of Brazil, Research Department.
    8. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2014. "Fiscal and monetary policies in complex evolving economies," Working Papers hal-03460560, HAL.
    9. Rodrigo César de Castro Miranda & Benjamin Miranda Tabak, 2013. "Contagion Risk within Firm-Bank Bivariate Networks," Working Papers Series 322, Central Bank of Brazil, Research Department.
    10. Stephen G Cecchetti & Joseph E Stiglitz & William C Dudley & Masaaki Shirakawa & Nout Wellink, 2010. "Financial system and macroeconomic resilience: revisited," BIS Papers, Bank for International Settlements, number 53.
    11. Fujiwara, Yoshi & Aoyama, Hideaki & Ikeda, Yuichi & Iyetomi, Hiroshi & Souma, Wataru, 2009. "Structure and Temporal Change of Credit Network between Banks and Large Firms in Japan," Economics Discussion Papers 2009-1, Kiel Institute for the World Economy (IfW Kiel).
    12. Di Guilmi, C. & Gallegati, M. & Landini, S. & Stiglitz, J.E., 2020. "An analytical solution for network models with heterogeneous and interacting agents," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 189-220.
    13. Iyetomi, Hiroshi & Ikeda, Yuichi & Aoyama, Hideaki & Fujiwara, Yoshi & Souma, Wataru, 2009. "Structure and Temporal Change of the Credit Network between Banks and Large Firms in Japan," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-18.

  44. Stefano Battiston & Domenico Delli Gatti & Mauro Gallegati & Bruce C. Greenwald & Joseph E. Stiglitz, 2009. "Liaisons Dangereuses: Increasing Connectivity, Risk Sharing, and Systemic Risk," NBER Working Papers 15611, National Bureau of Economic Research, Inc.

    Cited by:

    1. Ahelegbey, Daniel Felix & Giudici, Paolo & Mojtahedi, Fatemeh, 2021. "Tail risk measurement in crypto-asset markets," International Review of Financial Analysis, Elsevier, vol. 73(C).
    2. Fengler, Matthias R. & Gisler, Katja I.M., 2015. "A variance spillover analysis without covariances: What do we miss?," Journal of International Money and Finance, Elsevier, vol. 51(C), pages 174-195.
    3. Paltalidis, Nikos & Gounopoulos, Dimitrios & Kizys, Renatas & Koutelidakis, Yiannis, 2015. "Transmission channels of systemic risk and contagion in the European financial network," Journal of Banking & Finance, Elsevier, vol. 61(S1), pages 36-52.
    4. Josselin Garnier & George Papanicolaou & Tzu-Wei Yang, 2012. "Large deviations for a mean field model of systemic risk," Papers 1204.3536, arXiv.org, revised Aug 2012.
    5. Rogelio V. Mercado Jr. & Shanty Noviantie, 2019. "Financial Flows Centrality: Empirical Evidence using Bilateral Capital Flows," Working Papers wp38, South East Asian Central Banks (SEACEN) Research and Training Centre.
    6. León, C. & Berndsen, R.J. & Renneboog, L.D.R., 2014. "Financial Stability and Interacting Networks of Financial Institutions and Market Infrastructures," Other publications TiSEM ec673981-aa01-48f9-9553-d, Tilburg University, School of Economics and Management.
    7. T. Balint & F. Lamperti & Antoine Mandel & Mauro Napoletano & A. Roventini & A. Sapio, 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01906003, HAL.
    8. Georgescu, Oana-Maria, 2015. "Contagion in the interbank market: Funding versus regulatory constraints," Journal of Financial Stability, Elsevier, vol. 18(C), pages 1-18.
    9. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," Working Papers hal-03459508, HAL.
    10. Bakoush, Mohamed & Gerding, Enrico H. & Wolfe, Simon, 2019. "Margin requirements and systemic liquidity risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 78-95.
    11. Grzegorz Hałaj & Christoffer Kok, 2013. "Assessing interbank contagion using simulated networks," Computational Management Science, Springer, vol. 10(2), pages 157-186, June.
    12. Andreas Karpf & Antoine Mandel & Stefano Battiston, 2018. "Price and network dynamics in the European carbon market," Post-Print halshs-01905985, HAL.
    13. Weidong Tian & Azamat Abdymomunov & Ibrahim Ergen, 2017. "Tail Dependence and Systemic Risk in Operational Losses of the US Banking Industry," International Review of Finance, International Review of Finance Ltd., vol. 17(2), pages 177-204, June.
    14. Anton Pichler & Sebastian Poledna & Stefan Thurner, 2018. "Systemic-risk-efficient asset allocation: Minimization of systemic risk as a network optimization problem," Papers 1801.10515, arXiv.org, revised Mar 2018.
    15. Huang, Wei-Qiang & Wang, Dan, 2018. "A return spillover network perspective analysis of Chinese financial institutions’ systemic importance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 405-421.
    16. Giada Adelfio & Arianna Agosto & Marcello Chiodi & Paolo Giudici, 2021. "Financial contagion through space-time point processes," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(2), pages 665-688, June.
    17. Patrick Mugenzi & Thomas Kigabo Rusuhuzwa & Annie Uwimana, 2021. "Finding the Network Structure of Rwandan Interbank Market," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 12(3), pages 435-445, May.
    18. Gallegati, Mauro & Giammetti, Raffaele & Russo, Alberto, 2019. "Key sectors in Input-Output Production Networks: an application to Brexit," MPRA Paper 92559, University Library of Munich, Germany.
    19. Lv, Jiamin & Ben, Shenglin & Huang, Wenli & Xu, Yueling, 2023. "How to reduce the default contagion risk of intercorporate credit guarantee networks? Evidence from China," Emerging Markets Review, Elsevier, vol. 55(C).
    20. Emanuele Ciola, 2020. "Financial sector bargaining power, aggregate growth and systemic risk," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 89-109, January.
    21. Bluhm, Marcel, 2018. "Persistent liquidity shocks and interbank funding," Journal of Financial Stability, Elsevier, vol. 36(C), pages 246-262.
    22. Farmer, J. Doyne & Kleinnijenhuis, Alissa & Nahai-Williamson, Paul & Wetzer, Thom, 2020. "Foundations of system-wide financial stress testing with heterogeneous institutions," INET Oxford Working Papers 2020-14, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    23. Li, Xi Hao, 2013. "Standardization for Agent-based Modeling in Economics," MPRA Paper 47396, University Library of Munich, Germany.
    24. Mr. Itai Agur, 2014. "Bank Risk Within and Across Equilibria," IMF Working Papers 2014/116, International Monetary Fund.
    25. Hu Wang & Shouwei Li, 2023. "Identifying Systemically Important Banks Based on an Improved DebtRank Model," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1505-1523, December.
    26. Pasca Lucian, 2015. "A Critical Review of the Main Approaches on Financial Market Dynamics Modelling," Journal of Heterodox Economics, Sciendo, vol. 2(2), pages 151-167, December.
    27. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis," SciencePo Working papers Main hal-01070338, HAL.
    28. Anginer, Deniz & Demirguc-Kunt, Asli & Zhu, Min, 2014. "How does competition affect bank systemic risk?," Journal of Financial Intermediation, Elsevier, vol. 23(1), pages 1-26.
    29. Paulo Garrido & Pedro Campos & André Dias, 2015. "Balance Sheet Analysis Of Credit And Debt Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 18(05n06), pages 1-18, August.
    30. Jean-Luc Gaffard & Mauro Napoletano, 2018. "Hétérogénéité des agents, interconnexions financières et politique monétaire : une approche non-conventionnelle," Sciences Po publications info:hdl:2441/1gb0ntthu59, Sciences Po.
    31. Edoardo Gaffeo & Lucio Gobbi & Massimo Molinari, 2019. "The economics of netting in financial networks," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 595-622, September.
    32. Ali Namaki & Reza Eyvazloo & Shahin Ramtinnia, 2023. "A systematic review of early warning systems in finance," Papers 2310.00490, arXiv.org.
    33. Otto, Christian & Willner, Sven Norman & Wenz, Leonie & Frieler, Katja & Levermann, Anders, 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," OSF Preprints 7yyhd, Center for Open Science.
    34. Marko Petrovic & Bulent Ozel & Andrea Teglio & Marco Raberto & Silvano Cincotti, 2017. "Eurace Open: An agent-based multi-country model," Working Papers 2017/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    35. Pablo Rovira Kaltwasser & Alessandro Spelta, 2019. "Identifying systemically important financial institutions: a network approach," Computational Management Science, Springer, vol. 16(1), pages 155-185, February.
    36. Alberto Cardaci & Francesco Saraceno, 2017. "Inequality and Imbalances : a Monetary Union Agent-Based Model," Sciences Po publications 30, Sciences Po.
    37. Paolo Giudici & Laura Parisi, 2016. "Bail in or Bail out? The Atlante example from a systemic risk perspective," DEM Working Papers Series 124, University of Pavia, Department of Economics and Management.
    38. von der Becke Susanne & Sornette Didier, 2019. "An Asset-Based Framework of Credit Creation (applied to the Global Financial Crisis)," Accounting, Economics, and Law: A Convivium, De Gruyter, vol. 9(2), pages 1-21, July.
    39. Tang, Qihe & Tong, Zhiwei & Xun, Li, 2022. "Insurance risk analysis of financial networks vulnerable to a shock," European Journal of Operational Research, Elsevier, vol. 301(2), pages 756-771.
    40. Peltonen, Tuomas A. & Sarlin, Peter & Piloiu, Andreea, 2015. "Network linkages to predict bank distress," Working Paper Series 1828, European Central Bank.
    41. Zakaria Babutsidze & Maurizio Iacopetta, 2016. "Innovation, growth and financial market," Sciences Po publications info:hdl:2441/258fqttgag8, Sciences Po.
    42. Annika Birch & Tomaso Aste, 2014. "Systemic Losses Due to Counter Party Risk in a Stylized Banking System," Papers 1402.3688, arXiv.org.
    43. Romeil Sandhu & Tryphon Georgiou & Allen Tannenbaum, 2015. "Market Fragility, Systemic Risk, and Ricci Curvature," Papers 1505.05182, arXiv.org.
    44. Michel Alexandre & Thiago Christiano Silva & Colm Connaughton & Francisco A. Rodrigues, 2021. "The Role of (non-)Topological Features as Drivers of Systemic Risk: a machine learning approach," Working Papers Series 556, Central Bank of Brazil, Research Department.
    45. Brancaccio, Emiliano & Giammetti, Raffaele & Lopreite, Milena & Puliga, Michelangelo, 2019. "Monetary policy, crisis and capital centralization in corporate ownership and control networks: A B-Var analysis," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 55-66.
    46. Daniel Felix Ahelegbey, 2022. "Statistical Modelling of Downside Risk Spillovers," FinTech, MDPI, vol. 1(2), pages 1-10, April.
    47. Christoph Aymanns & Co-Pierre Georg, 2014. "Contagious Synchronization and Endogenous Network Formation in Financial Networks," Papers 1408.0440, arXiv.org.
    48. Hyun Hak Kim & Hosung Jung, 2019. "Systemic Risk of the Consumer Credit Network across Financial Institutions," Working Papers 2019-23, Economic Research Institute, Bank of Korea.
    49. Diego Aparicio & Daniel Fraiman, 2015. "Banking Networks And Leverage Dependence In Emerging Countries," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 18(07n08), pages 1-21, November.
    50. Caballero, Julian & Candelaria, Christopher & Hale, Galina, 2018. "Bank linkages and international trade," Journal of International Economics, Elsevier, vol. 115(C), pages 30-47.
    51. Olivier Accominotti & Delio Lucena-Piquero & Stefano Ugolini, 2023. "Intermediaries’ Substitutability and Financial Network Resilience: A Hyperstructure Approach," Post-Print hal-04160805, HAL.
    52. van der Leij, M. & in 't Veld, D. & Hommes, C.H., 2016. "The formation of a core periphery structure in heterogeneous financial networks," CeNDEF Working Papers 16-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    53. Wang, Ruting & Althof, Michael & Härdle, Wolfgang Karl, 2023. "A financial risk meter for China," Emerging Markets Review, Elsevier, vol. 56(C).
    54. Brini, Alessio & Tedeschi, Gabriele & Tantari, Daniele, 2023. "Reinforcement learning policy recommendation for interbank network stability," Journal of Financial Stability, Elsevier, vol. 67(C).
    55. Anginer, Deniz & Demirguc-Kunt, Asli, 2014. "Has the global banking system become more fragile over time?," Journal of Financial Stability, Elsevier, vol. 13(C), pages 202-213.
    56. Claudio J. Tessone & Antonios Garas & Beniamino Guerra & Frank Schweitzer, "undated". "How big is too big? Critical Shocks for Systemic Failure Cascades," Working Papers ETH-RC-12-015, ETH Zurich, Chair of Systems Design.
    57. Xiao, Shuhua & Zhu, Shushang & Wu, Ying, 2023. "Asset securitization, cross holdings, and systemic risk in banking," Journal of Financial Stability, Elsevier, vol. 67(C).
    58. Solomon Sorin & Golo Natasa, 2013. "Minsky Financial Instability, Interscale Feedback, Percolation and Marshall–Walras Disequilibrium," Accounting, Economics, and Law: A Convivium, De Gruyter, vol. 3(3), pages 167-260, October.
    59. Co-Pierre Georg & Stefano Battiston & Tarik Roukny, 2014. "A Network Analysis of the Evolution of the German Interbank Market," Working Papers 461, Economic Research Southern Africa.
    60. Ali Hosseiny & Mohammad Bahrami & Antonio Palestrini & Mauro Gallegati, 2016. "Metastable Features of Economic Networks and Responses to Exogenous Shocks," Papers 1608.00275, arXiv.org.
    61. Ali Hosseiny & Mohammadreza Absalan & Mohammad Sherafati & Mauro Gallegati, 2018. "Hysteresis of economic networks in an XY model," Papers 1808.03404, arXiv.org.
    62. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," Post-Print hal-03399574, HAL.
    63. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    64. Joseph E. Stiglitz, 2013. "Stable Growth in an Era of Crises; Learning from Economic Theory and History," Ekonomi-tek - International Economics Journal, Turkish Economic Association, vol. 2(1), pages 1-39, January.
    65. Giudici, Paolo & Abu-Hashish, Iman, 2019. "What determines bitcoin exchange prices? A network VAR approach," Finance Research Letters, Elsevier, vol. 28(C), pages 309-318.
    66. Francesca Biagini & Jean-Pierre Fouque & Marco Frittelli & Thilo Meyer-Brandis, 2020. "On fairness of systemic risk measures," Finance and Stochastics, Springer, vol. 24(2), pages 513-564, April.
    67. Yun, Tae-Sub & Jeong, Deokjong & Park, Sunyoung, 2019. "“Too central to fail” systemic risk measure using PageRank algorithm," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 251-272.
    68. Otto, C. & Willner, S.N. & Wenz, L. & Frieler, K. & Levermann, A., 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 232-269.
    69. Deng, Yang & Zhang, Ziqing & Zhu, Li, 2021. "A model-based index for systemic risk contribution measurement in financial networks," Economic Modelling, Elsevier, vol. 95(C), pages 35-48.
    70. Song, Jae Wook & Ko, Bonggyun & Cho, Poongjin & Chang, Woojin, 2016. "Time-varying causal network of the Korean financial system based on firm-specific risk premiums," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 287-302.
    71. Donohue, Ian & Coscieme, Luca & Gellner, Gabriel & Yang, Qiang & Jackson, Andrew L. & Kubiszewski, Ida & Costanza, Robert & McCann, Kevin S., 2023. "Accelerated economic recovery in countries powered by renewables," Ecological Economics, Elsevier, vol. 212(C).
    72. Daron Acemoglu & Asuman E. Ozdaglar & Alireza Tahbaz Salehi, 2015. "Networks, Shocks, and Systemic Risk," Levine's Bibliography 786969000000001187, UCLA Department of Economics.
    73. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2013. "Systemic Risk and Stability in Financial Networks," NBER Working Papers 18727, National Bureau of Economic Research, Inc.
    74. Joseph E. Stiglitz, 2015. "New Theoretical Perspectives on the Distribution of Income and Wealth among Individuals: Part II: Equilibrium Wealth Distributions," NBER Working Papers 21190, National Bureau of Economic Research, Inc.
    75. Affinito, Massimiliano & Franco Pozzolo, Alberto, 2017. "The interbank network across the global financial crisis: Evidence from Italy," Journal of Banking & Finance, Elsevier, vol. 80(C), pages 90-107.
    76. Monica Billio & Mila Getmansky & Andrew W. Lo & Loriana Pelizzon, 2010. "Econometric Measures of Connectedness and Systemic Risk in the Finance and Insurance Sectors," NBER Chapters, in: Market Institutions and Financial Market Risk, National Bureau of Economic Research, Inc.
    77. Jan Lorenz & Stefano Battiston & Frank Schweitzer, "undated". "Systemic Risk in a Unifying Framework for Cascading Processes on Networks," Working Papers CCSS-09-011, ETH Zurich, Chair of Systems Design.
    78. Carl Chiarella & Corrado Di Guilmi, 2013. "Monetary Policy and Debt Deflation: Some Computational Experiments," CAMA Working Papers 2013-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    79. Joseph E. Stiglitz, 2011. "Rethinking Macroeconomics: What Failed, And How To Repair It," Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 591-645, August.
    80. Abad, Jorge & D’Errico, Marco & Killeen, Neill & Luz, Vera & Peltonen, Tuomas & Portes, Richard & Urbano, Teresa, 2022. "Mapping exposures of EU banks to the global shadow banking system," Journal of Banking & Finance, Elsevier, vol. 134(C).
    81. L. Bargigli & G. di Iasio & L. Infante & F. Lillo & F. Pierobon, 2015. "The multiplex structure of interbank networks," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 673-691, April.
    82. Thomas Hauner, 2020. "Aggregate wealth and its distribution as determinants of financial crises," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(3), pages 319-338, September.
    83. Nicolas Debarsy & Cyrille Dossougoin & Cem Ertur & Jean-Yves Gnabo, 2018. "Measuring sovereign risk spillovers and assessing the role of transmission channels: A spatial econometrics approach," LIDAM Reprints CORE 2937, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    84. Giulia Iori & Rosario N. Mantegna & Luca Marotta & Salvatore Micciche' & James Porter & Michele Tumminello, 2014. "Networked relationships in the e-MID Interbank market: A trading model with memory," Papers 1403.3638, arXiv.org.
    85. Silva, Thiago Christiano & Guerra, Solange Maria & Tabak, Benjamin Miranda, 2020. "Fiscal risk and financial fragility," Emerging Markets Review, Elsevier, vol. 45(C).
    86. Vitali, Stefania & Battiston, Stefano & Gallegati, Mauro, 2016. "Financial fragility and distress propagation in a network of regions," Journal of Economic Dynamics and Control, Elsevier, vol. 62(C), pages 56-75.
    87. Noemí NAVARRO & H. Dan TRAN, 2018. "Shock Diffusion in Large Regular Networks: The Role of Transitive Cycles," Cahiers du GREThA (2007-2019) 2018-10, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    88. Lengnick, Matthias & Krug, Sebastian & Wohltmann, Hans-Werner, 2012. "Money creation and financial instability: An agent-based credit network approach," Economics Working Papers 2012-15, Christian-Albrechts-University of Kiel, Department of Economics.
    89. LI, XI HAO & Gallegati, Mauro, 2015. "Stock-Flow Dynamic Projection," MPRA Paper 62047, University Library of Munich, Germany.
    90. Roy Cerqueti & Gian Paolo Clemente & Rosanna Grassi, 2018. "Systemic risk assessment through high order clustering coefficient," Papers 1810.13250, arXiv.org, revised Jul 2020.
    91. Inaki Aldasoro & Domenico Delli Gatti & Ester Faia, 2015. "Bank Networks: Contagion, Systemic Risk and Prudential Policy," CESifo Working Paper Series 5182, CESifo.
    92. Joseph E. Stiglitz, 2017. "Where Modern Macroeconomics Went Wrong," NBER Working Papers 23795, National Bureau of Economic Research, Inc.
    93. González-Avella, Juan Carlos & de Quadros, Vanessa Hoffmann & Iglesias, José Roberto, 2016. "Network topology and interbank credit risk," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 235-243.
    94. Bargigli, Leonardo & Gallegati, Mauro, 2011. "Random digraphs with given expected degree sequences: A model for economic networks," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 396-411, May.
    95. Chong, Carsten & Klüppelberg, Claudia, 2019. "Partial mean field limits in heterogeneous networks," Stochastic Processes and their Applications, Elsevier, vol. 129(12), pages 4998-5036.
    96. Owsiński, Jan W. & Pielak, Aneta M. & Sęp, Krzysztof, 2013. "Smartness, culture and local authority ICT awareness: an empirical enquiry for a province in Poland," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 115(2), pages 1-8, June.
    97. Bargigli, Leonardo & Gallegati, Mauro, 2013. "Finding communities in credit networks," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-39.
    98. Fischer, Thomas & Riedler, Jesper, 2014. "Prices, Debt and Market Structure in an Agent-Based Model of the Financial Market," FinMaP-Working Papers 21, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    99. Vodenska, Irena & Aoyama, Hideaki & Becker, Alexander P. & Fujiwara, Yoshi & Iyetomi, Hiroshi & Lungu, Eliza, 2021. "From stress testing to systemic stress testing: The importance of macroprudential regulation," Journal of Financial Stability, Elsevier, vol. 52(C).
    100. Simone LENZU & Gabriele TEDESCHI, 2012. "Systemic risk on different interbank network topologies," Working Papers 375, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    101. Tarchella, Salma & Dhaoui, Abderrazak, 2021. "Chinese jigsaw: Solving the equity market response to the COVID-19 crisis: Do alternative asset provide effective hedging performance?," Research in International Business and Finance, Elsevier, vol. 58(C).
    102. Adrian Alter & Ben R. Craig & Peter Raupach, 2015. "Centrality-Based Capital Allocations," International Journal of Central Banking, International Journal of Central Banking, vol. 11(3), pages 329-377, June.
    103. Roncoroni, Alan & Battiston, Stefano & D'Errico, Marco & Hałaj, Grzegorz & Kok, Christoffer, 2019. "Interconnected banks and systemically important exposures," Working Paper Series 2331, European Central Bank.
    104. Francesca Biagini & Andrea Mazzon & Thilo Meyer-Brandis, 2018. "Financial asset bubbles in banking networks," Papers 1806.01728, arXiv.org.
    105. Mandel, Antoine & Landini, Simone & Gallegati, Mauro & Gintis, Herbert, 2015. "Price dynamics, financial fragility and aggregate volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 257-277.
    106. Safarzyńska, Karolina & van den Bergh, Jeroen C.J.M., 2017. "Integrated crisis-energy policy: Macro-evolutionary modelling of technology, finance and energy interactions," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 119-137.
    107. EDOARDO GAFFEO & Lucio Gobbi & Massimo Molinari, 2018. "Bilateral netting and systemic liquidity shortages in banking networks," DEM Working Papers 2018/06, Department of Economics and Management.
    108. Georg, Co-Pierre, 2014. "Contagious herding and endogenous network formation in financial networks," Discussion Papers 23/2014, Deutsche Bundesbank.
    109. Peltonen, Tuomas A. & Scheicher, Martin & Vuillemey, Guillaume, 2014. "The network structure of the CDS market and its determinants," Journal of Financial Stability, Elsevier, vol. 13(C), pages 118-133.
    110. Matteo Smerlak & Brady Stoll & Agam Gupta & James S Magdanz, 2015. "Mapping Systemic Risk: Critical Degree and Failures Distribution in Financial Networks," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-15, July.
    111. Capponi, Agostino & Corell, Felix & Stiglitz, Joseph E., 2022. "Optimal bailouts and the doom loop with a financial network," Journal of Monetary Economics, Elsevier, vol. 128(C), pages 35-50.
    112. Weijia Wang & Shaoan Huang, 2021. "Risk sharing and financial stability: a welfare analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 211-228, January.
    113. Daniel Felix Ahelegbey & Monica Billio & Roberto Casarin, 2020. "Modeling Turning Points In Global Equity Market," DEM Working Papers Series 195, University of Pavia, Department of Economics and Management.
    114. Yichen Zhou & Honggang Li, 2019. "Asset diversification and systemic risk in the financial system," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(2), pages 247-272, June.
    115. Makoto Nirei & Vladyslav Sushko & Julián Caballero, 2016. "Bank Capital Shock Propagation via Syndicated Interconnectedness," Computational Economics, Springer;Society for Computational Economics, vol. 47(1), pages 67-96, January.
    116. Amini, Hamed & Minca, Andreea & Sulem, Agnès, 2017. "Optimal equity infusions in interbank networks," Journal of Financial Stability, Elsevier, vol. 31(C), pages 1-17.
    117. Rama Cont & Andreea Minca, 2016. "Credit default swaps and systemic risk," Annals of Operations Research, Springer, vol. 247(2), pages 523-547, December.
    118. Mejía Cubillos, Javier, 2012. "Propuesta metodológica para el cálculo del riesgo sistémico financiero en estudios de Historia Económica: Aplicación para el caso de la banca libre en Antioquia, 1888 [A methodology for assessing f," MPRA Paper 35460, University Library of Munich, Germany.
    119. Berndsen, Ron & León, C. & Renneboog, Luc, 2018. "Financial stability in networks of financial institutions and market infrastructures," Other publications TiSEM c4fae203-93a8-410d-b3f0-0, Tilburg University, School of Economics and Management.
    120. Vergote, Olivier, 2016. "Credit risk spillover between financials and sovereigns in the euro area during 2007-2015," Working Paper Series 1898, European Central Bank.
    121. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2016. "The Short- and Long-Run Damages of Fiscal Austerity: Keynes beyond Schumpeter," International Economic Association Series, in: Joseph E. Stiglitz & Martin Guzman (ed.), Contemporary Issues in Macroeconomics, chapter 8, pages 79-100, Palgrave Macmillan.
    122. ZELDEA, Cristina Georgiana, 2019. "Systemic Risk: An Overview," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 23(3), pages 34-48, September.
    123. Carlos León & Miguel Sarmiento, 2016. "Liquidity and Counterparty Risks Tradeoff in Money Market Networks," Borradores de Economia 936, Banco de la Republica de Colombia.
    124. Mariño-Martínez, Ricardo & León, Carlos & Cadena-Silva, Carlos, 2020. "Las entidades de contrapartida central en la mitigación del riesgo de contraparte y de liquidez: El caso de los derivados cambiarios en Colombia," Working papers 33, Red Investigadores de Economía.
    125. Yong Tang & Jason Jie Xiong & Zi-Yang Jia & Yi-Cheng Zhang, 2018. "Complexities in Financial Network Topological Dynamics: Modeling of Emerging and Developed Stock Markets," Complexity, Hindawi, vol. 2018, pages 1-31, November.
    126. Mazzarisi, Piero & Zaoli, Silvia & Campajola, Carlo & Lillo, Fabrizio, 2020. "Tail Granger causalities and where to find them: Extreme risk spillovers vs spurious linkages," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    127. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis: A New Tool for Economic and Policy Analysis," Sciences Po publications 3, Sciences Po.
    128. Caccioli, Fabio & Farmer, J. Doyne & Foti, Nick & Rockmore, Daniel, 2015. "Overlapping portfolios, contagion, and financial stability," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 50-63.
    129. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    130. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Benjamin Miranda Tabak, 2015. "Monitoring Vulnerability and Impact Diffusion in Financial Networks," Working Papers Series 392, Central Bank of Brazil, Research Department.
    131. Paolo Bartesaghi & Michele Benzi & Gian Paolo Clemente & Rosanna Grassi & Ernesto Estrada, 2019. "Risk-dependent centrality in economic and financial networks," Papers 1907.07908, arXiv.org, revised Apr 2020.
    132. Tomas Klinger & Petr Teply, 2017. "Agent-Based Risk Assessment Model of the European Banking Network," CERGE-EI Working Papers wp602, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    133. Esmalifalak, Hamidreza, 2022. "Euclidean (dis)similarity in financial network analysis," Global Finance Journal, Elsevier, vol. 53(C).
    134. Silvano Cincotti & Marco Raberto & Andrea Teglio, 2022. "Why do we need agent-based macroeconomics?," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 5-29, April.
    135. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models," Post-Print hal-03461262, HAL.
    136. Ioannis Anagnostou & Sumit Sourabh & Drona Kandhai, 2018. "Incorporating Contagion in Portfolio Credit Risk Models Using Network Theory," Complexity, Hindawi, vol. 2018, pages 1-15, January.
    137. Giulio Cimini & Tiziano Squartini & Nicol`o Musmeci & Michelangelo Puliga & Andrea Gabrielli & Diego Garlaschelli & Stefano Battiston & Guido Caldarelli, 2014. "Reconstructing topological properties of complex networks using the fitness model," Papers 1410.2121, arXiv.org.
    138. Calluzzo, Paul & Dong, Gang Nathan, 2015. "Has the financial system become safer after the crisis? The changing nature of financial institution risk," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 233-248.
    139. Aymeric Vié & Alfredo J. Morales, 2021. "How Connected is Too Connected? Impact of Network Topology on Systemic Risk and Collapse of Complex Economic Systems," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1327-1351, April.
    140. Jean-Baptiste Hasse, 2022. "Systemic risk: a network approach," Empirical Economics, Springer, vol. 63(1), pages 313-344, July.
    141. Baomin Chen & Xinyun Yang & Zhenzhong Ma, 2022. "Fintech and Financial Risks of Systemically Important Commercial Banks in China: An Inverted U-Shaped Relationship," Sustainability, MDPI, vol. 14(10), pages 1-20, May.
    142. Guillaume Vuillemey, 2015. "Derivatives markets : from bank risk management to financial stability [Les marchés de dérivés : gestion des risques bancaires et stabilité financière]," SciencePo Working papers Main tel-03507099, HAL.
    143. Faia, Ester & Aldasoro, Inaki, 2015. "Systemic Loops and Liquidity Regulation," CEPR Discussion Papers 10918, C.E.P.R. Discussion Papers.
    144. Giulio Cainelli & Sandro Montresor & Giuseppe Vittucci Marzetti, 2012. "Production and financial linkages in inter-firm networks: structural variety, risk-sharing and resilience," Journal of Evolutionary Economics, Springer, vol. 22(4), pages 711-734, September.
    145. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Benjamin Miranda Tabak, 2015. "Network Structure Analysis of the Brazilian Interbank Market," Working Papers Series 391, Central Bank of Brazil, Research Department.
    146. Imen Bedoui-Belghith & Slaheddine Hallara & Faouzi Jilani, 2023. "Crisis transmission degree measurement under crisis propagation model," SN Business & Economics, Springer, vol. 3(1), pages 1-27, January.
    147. Ichiro Takahashi, 2021. "An Artificial Wicksell—Keynes Macroeconomy," Springer Books, Springer, number 978-981-16-6839-5, June.
    148. Harold M. Hastings & Tai Young-Taft & Chih-Jui Tsen, 2020. "Ecology, Economics, and Network Dynamics," Economics Working Paper Archive wp_971, Levy Economics Institute.
    149. Garratt, Rodney J. & Mahadeva, Lavan & Svirydzenka, Katsiaryna, 2014. "The great entanglement: The contagious capacity of the international banking network just before the 2008 crisis," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 367-385.
    150. Song, Jianhua & Zhang, Zhepei & So, Mike K.P., 2021. "On the predictive power of network statistics for financial risk indicators," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    151. Duncan, Andrew S. & Kabundi, Alain, 2013. "Domestic and foreign sources of volatility spillover to South African asset classes," Economic Modelling, Elsevier, vol. 31(C), pages 566-573.
    152. Markose, Sheri & Giansante, Simone & Shaghaghi, Ali Rais, 2012. "‘Too interconnected to fail’ financial network of US CDS market: Topological fragility and systemic risk," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 627-646.
    153. Christoph Meinerding, 2012. "Asset Allocation And Asset Pricing In The Face Of Systemic Risk: A Literature Overview And Assessment," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 1-27.
    154. Alexandre, Michel & Silva, Thiago Christiano & Connaughton, Colm & Rodrigues, Francisco A., 2021. "The drivers of systemic risk in financial networks: a data-driven machine learning analysis," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
    155. Marco Bardoscia & Stefano Battiston & Fabio Caccioli & Guido Caldarelli, 2015. "DebtRank: A Microscopic Foundation for Shock Propagation," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-13, June.
    156. Stefania Vitali & James B. Glattfelder & Stefano Battiston, 2011. "The network of global corporate control," Papers 1107.5728, arXiv.org, revised Sep 2011.
    157. Gersbach, Hans & Aptus, Elias & Britz, Volker, 2016. "On the Economics of Crisis Contracts," CEPR Discussion Papers 11267, C.E.P.R. Discussion Papers.
    158. Lelarge, Marc, 2012. "Diffusion and cascading behavior in random networks," Games and Economic Behavior, Elsevier, vol. 75(2), pages 752-775.
    159. Arun G. Chandrasekhar & Robert Townsend & Juan Pablo Xandri, 2018. "Financial Centrality and Liquidity Provision," NBER Working Papers 24406, National Bureau of Economic Research, Inc.
    160. Irene Monasterolo & Jiani I. Zheng & Stefano Battiston, 2018. "Climate Transition Risk and Development Finance: A Carbon Risk Assessment of China's Overseas Energy Portfolios," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 26(6), pages 116-142, November.
    161. Ali Namaki & Jamshid Ardalankia & Reza Raei & Leila Hedayatifar & Ali Hosseiny & Emmanuel Haven & G. Reza Jafari, 2020. "Analysis of the Global Banking Network by Random Matrix Theory," Papers 2007.14447, arXiv.org.
    162. Jean-Baptiste Hasse, 2020. "Systemic Risk: a Network Approach," Working Papers halshs-02893780, HAL.
    163. Germán G. Creamer & Tal Ben-Zvi, 2021. "Volatility and Risk in the Energy Market: A Trade Network Approach," Sustainability, MDPI, vol. 13(18), pages 1-17, September.
    164. Diaz de la Fuente Manuel, 2023. "Análisis de la Topología de las relaciones entre Bancos y Firmas mediante Redes Complejas: comparación del caso de Argentina e Italia," Asociación Argentina de Economía Política: Working Papers 4647, Asociación Argentina de Economía Política.
    165. Marc de Kamps & Daniel Ladley & Aistis Simaitis, 2012. "Heterogeneous Beliefs in Over-The-Counter Markets," Discussion Papers in Economics 13/03, Division of Economics, School of Business, University of Leicester, revised Sep 2013.
    166. Roland Pongou & Jean-Baptiste Tondji, 2016. "Valuing Inputs Under Supply Uncertainty: The Bayesian Shapley Value," Working Papers 1617E, University of Ottawa, Department of Economics.
    167. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2014. "Fiscal and monetary policies in complex evolving economies," Working Papers hal-03460560, HAL.
    168. Kangogo, Moses & Volkov, Vladimir, 2021. "Dynamic effects of network exposure on equity markets," Working Papers 2021-03, University of Tasmania, Tasmanian School of Business and Economics.
    169. Luca Papi & Emma Sarno & Alberto Zazzaro, 2015. "The Geographical Network of Bank Organizations: Issues and Evidence for Italy," CSEF Working Papers 403, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    170. Mr. Nicolas Arregui & Mr. Mohamed Norat & Antonio Pancorbo & Ms. Jodi G Scarlata & Eija Holttinen & Fabiana Melo & Jay Surti & Christopher Wilson & Rodolfo Wehrhahn & Mamoru Yanase, 2013. "Addressing Interconnectedness: Concepts and Prudential Tools," IMF Working Papers 2013/199, International Monetary Fund.
    171. Peralta, Gustavo & Crisóstomo, Ricardo, 2016. "Financial contagion with spillover effects: a multiplex network approach," ESRB Working Paper Series 32, European Systemic Risk Board.
    172. Irena Vodenska & Alexander P. Becker & Di Zhou & Dror Y. Kenett & H. Eugene Stanley & Shlomo Havlin, 2016. "Community Analysis of Global Financial Markets," Risks, MDPI, vol. 4(2), pages 1-15, May.
    173. Silva, Thiago Christiano & Alexandre, Michel da Silva & Tabak, Benjamin Miranda, 2018. "Bank lending and systemic risk: A financial-real sector network approach with feedback," Journal of Financial Stability, Elsevier, vol. 38(C), pages 98-118.
    174. Ahelegbey, Daniel Felix & Cerchiello, Paola & Scaramozzino, Roberta, 2022. "Network based evidence of the financial impact of Covid-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 81(C).
    175. Yuanying Guan & Micah Pollak, 2016. "Contagion In Heterogeneous Financial Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(01n02), pages 1-25, February.
    176. X. Zhang & L. D. Valdez & H. E. Stanley & L. A. Braunstein, 2019. "Modeling Risk Contagion in the Venture Capital Market: A Multilayer Network Approach," Complexity, Hindawi, vol. 2019, pages 1-11, December.
    177. Berardi, Simone & Tedeschi, Gabriele, 2015. "From banks' strategies to financial (in)stability," FinMaP-Working Papers 47, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    178. Ohsung Kwon & Sung-guan Yun & Seung Hun Han & Yang Hon Chung & Duk Hee Lee, 2018. "Network Topology and Systemically Important Firms in the Interfirm Credit Network," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 847-864, April.
    179. Giulio Bottazzi & Alessandro De Sanctis & Fabio Vanni, 2016. "Non-performing loans, systemic risk and resilience in financial networks," LEM Papers Series 2016/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    180. Lorella Fatone & Francesca Mariani, 2019. "Systemic risk governance in a dynamical model of a banking system," Journal of Global Optimization, Springer, vol. 75(3), pages 851-883, November.
    181. Jeong, Sangjun & Jung, Hueechae, 2011. "Banks' wholesale funding and credit procyclicality: evidence from Korea," MPRA Paper 35568, University Library of Munich, Germany.
    182. Battiston, Stefano & Gatti, Domenico Delli & Gallegati, Mauro & Greenwald, Bruce & Stiglitz, Joseph E., 2012. "Default cascades: When does risk diversification increase stability?," Journal of Financial Stability, Elsevier, vol. 8(3), pages 138-149.
    183. Catullo, Ermanno & Giri, Federico & Gallegati, Mauro, 2021. "Macro- And Microprudential Policies: Sweet And Lowdown In A Credit Network Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 25(5), pages 1227-1246, July.
    184. Giudici, Paolo, 2018. "Financial data science," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 160-164.
    185. Marco Bardoscia & Fabio Caccioli & Juan Ignacio Perotti & Gianna Vivaldo & Guido Caldarelli, 2016. "Distress Propagation in Complex Networks: The Case of Non-Linear DebtRank," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-12, October.
    186. Julien Chevallier, 2020. "COVID-19 Pandemic and Financial Contagion," JRFM, MDPI, vol. 13(12), pages 1-25, December.
    187. Oliver Kley & Claudia Kluppelberg & Lukas Reichel, 2014. "Systemic risk through contagion in a core-periphery structured banking network," Papers 1406.6575, arXiv.org.
    188. Anufriev, Mikhail & Bottazzi, Giulio & Marsili, Matteo & Pin, Paolo, 2012. "Excess covariance and dynamic instability in a multi-asset model," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1142-1161.
    189. Foti, Nicholas J. & Pauls, Scott & Rockmore, Daniel N., 2013. "Stability of the World Trade Web over time – An extinction analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 37(9), pages 1889-1910.
    190. E. Gaffeo & M. Molinari, 2015. "Interbank contagion and resolution procedures: inspecting the mechanism," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 637-652, April.
    191. Rahul Kaushik & Stefano Battiston, 2012. "Credit Default Swaps Drawup Networks: Too Tied To Be Stable?," Papers 1205.0976, arXiv.org.
    192. Carlos Ramírez, 2019. "Regulating Financial Networks Under Uncertainty," Finance and Economics Discussion Series 2019-056, Board of Governors of the Federal Reserve System (U.S.).
    193. Neveu, Andre R., 2013. "Fiscal policy and business cycle characteristics in a heterogeneous agent macro model," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 224-240.
    194. Petr Teply & Tomas Klinger, 2019. "Agent-based modeling of systemic risk in the European banking sector," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 811-833, December.
    195. Cherry Muijsson, 2014. "Assessing Interbank Connectedness Using Transmission Decomposition Techniques: an Application to Eurozone SIFIs," Cambridge Working Papers in Economics 1438, Faculty of Economics, University of Cambridge.
    196. Alan Kirman, 2010. "The Economic Crisis is a Crisis for Economic Theory ," CESifo Economic Studies, CESifo Group, vol. 56(4), pages 498-535, December.
    197. Mr. Phurichai Rungcharoenkitkul, 2011. "Risk Sharing and Financial Contagion in Asia: An Asset Price Perspective," IMF Working Papers 2011/242, International Monetary Fund.
    198. Daniel Felix Ahelegbey & Paolo Giudici & Fatemeh Mojtahedi, 2022. "Crypto Asset Portfolio Selection," FinTech, MDPI, vol. 1(1), pages 1-9, February.
    199. Matteo Foglia & Eliana Angelini, 2019. "The Time-Spatial Dimension of Eurozone Banking Systemic Risk," Risks, MDPI, vol. 7(3), pages 1-25, July.
    200. Paolo Giudici & Laura Parisi, 2015. "Modeling Systemic Risk with Correlated Stochastic Processes," DEM Working Papers Series 110, University of Pavia, Department of Economics and Management.
    201. Hale, Galina, 2012. "Bank relationships, business cycles, and financial crises," Journal of International Economics, Elsevier, vol. 88(2), pages 312-325.
    202. Christian Diem & Anton Pichler & Stefan Thurner, 2019. "What is the Minimal Systemic Risk in Financial Exposure Networks?," Papers 1905.05931, arXiv.org.
    203. Alessandro Doldi & Marco Frittelli, 2021. "Real-Valued Systemic Risk Measures," Mathematics, MDPI, vol. 9(9), pages 1-24, April.
    204. Daniel E. Rigobon & Ronnie Sircar, 2022. "Formation of Optimal Interbank Lending Networks under Liquidity Shocks," Papers 2211.12404, arXiv.org.
    205. Lodge, David & Pérez, Javier J. & Albrizio, Silvia & Everett, Mary & De Bandt, Olivier & Georgiadis, Georgios & Ca' Zorzi, Michele & Lastauskas, Povilas & Carluccio, Juan & Parrága, Susana & Carvalho,, 2021. "The implications of globalisation for the ECB monetary policy strategy," Occasional Paper Series 263, European Central Bank.
    206. Leonardo Bargigli & Giovanni di Iasio & Luigi Infante & Fabrizio Lillo & Federico Pierobon, 2015. "Interbank markets and multiplex networks: centrality measures and statistical null models," Papers 1501.05751, arXiv.org.
    207. Constantin, Andreea & Peltonen, Tuomas A. & Sarlin, Peter, 2018. "Network linkages to predict bank distress," Journal of Financial Stability, Elsevier, vol. 35(C), pages 226-241.
    208. Demir, Müge & Önder, Zeynep, 2019. "Financial connectivity and excessive liquidity: Benefit or risk?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 203-221.
    209. Gaffeo Edoardo & Gobbi Lucio, 2021. "Achieving financial stability during a liquidity crisis: a multi-objective approach," Risk Management, Palgrave Macmillan, vol. 23(1), pages 48-74, June.
    210. Gabrisch, Hubert, 2018. "A fire department for the Euro area: reflections on a fiscal risk-sharing capacity," MPRA Paper 83965, University Library of Munich, Germany.
    211. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    212. Nicol'o Musmeci & Stefano Battiston & Guido Caldarelli & Michelangelo Puliga & Andrea Gabrielli, 2012. "Bootstrapping topology and systemic risk of complex network using the fitness model," Papers 1209.6459, arXiv.org.
    213. Minoiu, Camelia & Reyes, Javier A., 2013. "A network analysis of global banking: 1978–2010," Journal of Financial Stability, Elsevier, vol. 9(2), pages 168-184.
    214. Mardi Dungey & Moses Kangogo & Vladimir Volkov, 2022. "Dynamic effects of network exposure on equity markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(4), pages 569-629, December.
    215. Frank Emmert-Streib & Aliyu Musa & Kestutis Baltakys & Juho Kanniainen & Shailesh Tripathi & Olli Yli-Harja & Herbert Jodlbauer & Matthias Dehmer, 2017. "Computational Analysis of the structural properties of Economic and Financial Networks," Papers 1710.04455, arXiv.org.
    216. Lilit Popoyan, 2020. "Macroprudential Policy: a Blessing or a Curse?," Review of Economics and Institutions, Università di Perugia, vol. 11(1-2).
    217. Giorgio Fagiolo & Tiziano Squartini & Diego Garlaschelli, 2011. "Null Models of Economic Networks: The Case of the World Trade Web," LEM Papers Series 2011/26, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    218. Bargigli, Leonardo & Tedeschi, Gabriele, 2014. "Interaction in agent-based economics: A survey on the network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 1-15.
    219. Domenico Gatti & Edoardo Gaffeo & Mauro Gallegati, 2010. "Complex agent-based macroeconomics: a manifesto for a new paradigm," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 5(2), pages 111-135, December.
    220. Temizsoy, A. & Iori, G. & Montes-Rojas, G., 2016. "Network Centrality and Funding Rates in the e-MID Interbank Market," Working Papers 16/08, Department of Economics, City University London.
    221. Ramírez, Carlos, 2020. "Regulating financial networks under uncertainty," ESRB Working Paper Series 107, European Systemic Risk Board.
    222. Jean-Luc Gaffard & Mauro Napoletano, 2018. "Market disequilibrium, monetary policy, and financial markets : insights from new tools," Documents de Travail de l'OFCE 2018-21, Observatoire Francais des Conjonctures Economiques (OFCE).
    223. Tinic, Murat & Sensoy, Ahmet & Demir, Muge & Nguyen, Duc Khuong, 2020. "Broker Network Connectivity and the Cross-Section of Expected Stock Returns," MPRA Paper 104719, University Library of Munich, Germany.
    224. Rémi Stellian & Jenny Paola Danna-Buitrago & David Andrés Londoño Bedoya, 2018. "Fragilidad financiera empresarial y expectativas de ingresos: evidencias de un modelo multi-agentes," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 37(73), February.
    225. Ahelegbey, Daniel Felix & Giudici, Paolo & Hadji-Misheva, Branka, 2019. "Factorial Network Models To Improve P2P Credit Risk Management," MPRA Paper 92633, University Library of Munich, Germany.
    226. Alexandre, Michel & Silva, Thiago Christiano & Michalak, Krzysztof & Rodrigues, Francisco Aparecido, 2023. "Does the default pecking order impact systemic risk? Evidence from Brazilian data," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1379-1391.
    227. Lasse Loepfe & Antonio Cabrales & Angel Sánchez, 2013. "Towards a Proper Assignment of Systemic Risk: The Combined Roles of Network Topology and Shock Characteristics," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-1, October.
    228. Agosto, Arianna & Ahelegbey, Daniel Felix & Giudici, Paolo, 2020. "Tree Networks to assess Financial Contagion," MPRA Paper 107066, University Library of Munich, Germany.
    229. Wu, Shan & Tong, Mu & Yang, Zhongyi & Zhang, Tianyi, 2021. "Interconnectedness, systemic risk, and the influencing factors: Some evidence from China’s financial institutions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 569(C).
    230. Hosseiny, Ali & Gallegati, Mauro, 2017. "Role of intensive and extensive variables in a soup of firms in economy to address long run prices and aggregate data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 51-59.
    231. Joseph E. Stiglitz, 2010. "Risk and Global Economic Architecture: Why Full Financial Integration May Be Undesirable," NBER Working Papers 15718, National Bureau of Economic Research, Inc.
    232. Bahrami, Mohammad & Chinichian, Narges & Hosseiny, Ali & Jafari, Gholamreza & Ausloos, Marcel, 2020. "Optimization of the post-crisis recovery plans in scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    233. Veni Arakelian & Shatha Qamhieh Hashem, 2020. "The Leaders, the Laggers, and the “Vulnerables”," Risks, MDPI, vol. 8(1), pages 1-32, March.
    234. Xu, Ying & Corbett, Jenny, 2020. "What a network measure can tell us about financial interconnectedness and output volatility," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).
    235. Bhattacharya, Mita & Inekwe, John Nkwoma & Valenzuela, Maria Rebecca, 2020. "Credit risk and financial integration: An application of network analysis," International Review of Financial Analysis, Elsevier, vol. 72(C).
    236. Montagna, Mattia & Lux, Thomas, 2014. "Contagion risk in the interbank market: A probabilistic approach to cope with incomplete structural information," Kiel Working Papers 1937, Kiel Institute for the World Economy (IfW Kiel).
    237. Erol, Selman & Ordoñez, Guillermo, 2017. "Network reactions to banking regulations," Journal of Monetary Economics, Elsevier, vol. 89(C), pages 51-67.
    238. Sergey Nadtochiy & Mykhaylo Shkolnikov, 2017. "Particle systems with singular interaction through hitting times: application in systemic risk modeling," Papers 1705.00691, arXiv.org.
    239. Buch, Claudia M. & Vogel, Edgar & Weigert, Benjamin, 2018. "Evaluating macroprudential policies," ESRB Working Paper Series 76, European Systemic Risk Board.
    240. Michele Bonollo & Irene Crimaldi & Andrea Flori & Fabio Pammolli & Massimo Riccaboni, 2014. "Systemic importance of financial institutions: from a global to a local perspective? A network theory approach," Working Papers 9/2014, IMT School for Advanced Studies Lucca, revised Sep 2014.
    241. Burrows, Oliver & Cumming, Fergus, 2015. "Mapping the UK financial system," Bank of England Quarterly Bulletin, Bank of England, vol. 55(2), pages 114-129.
    242. Garratt, Rodney & Mahadeva, Lavan & Svirydzenka, Katsiaryna, 2011. "The contagious capacity of the international banking network: 1985-2009," University of California at Santa Barbara, Economics Working Paper Series qt0r89f16p, Department of Economics, UC Santa Barbara.
    243. Fatemeh Mojtahedi & Seyed Mojtaba Mojaverian & Daniel Felix Ahelegbey & Paolo Giudici, 2020. "Tail Risk Transmission: A Study of Iran Food Industry," DEM Working Papers Series 189, University of Pavia, Department of Economics and Management.
    244. Nadja König & Ingrid Größl, 2014. "Catching up with the Joneses and Borrowing Constraints: An Agent-based Analysis of Household Debt," Macroeconomics and Finance Series 201404, University of Hamburg, Department of Socioeconomics.
    245. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Guerra, Solange Maria, 2017. "Why do vulnerability cycles matter in financial networks?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 592-606.
    246. Rémi Stellian & Gabriel I. Penagos & Jenny P. Danna-Buitrago, 2021. "Firms in financial distress: evidence from inter-firm payment networks with volatility driven by ‘animal spirits’," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 59-101, January.
    247. Hüser, Anne-Caroline, 2016. "Too interconnected to fail: A survey of the Interbank Networks literature," SAFE Working Paper Series 91, Leibniz Institute for Financial Research SAFE, revised 2016.
    248. Lukas Scheffknecht, 2013. "Contextualizing Systemic Risk," ROME Working Papers 201317, ROME Network.
    249. Vinko Zlati'c & Giampaolo Gabbi & Hrvoje Abraham, 2014. "Reduction of systemic risk by means of Pigouvian taxation," Papers 1406.5817, arXiv.org.
    250. Yuri Biondi & Feng Zhou, 2017. "Interbank Credit and the Money Manufacturing Process. A Systemic Perspective on Financial Stability," Papers 1702.08774, arXiv.org.
    251. Ferrari Minesso, Massimo, 2020. "Bank contagion in general equilibrium," Working Paper Series 2432, European Central Bank.
    252. carlos León & Ron J. Berndsen, 2013. "Modular scale-free architecture of Colombian financial networks: Evidence and challenges with financial stability in view," Borradores de Economia 799, Banco de la Republica de Colombia.
    253. Jiang, Cheng & Sun, Qian & Ye, Tanglin & Wang, Qingyun, 2023. "Identification of systemically important financial institutions in a multiplex financial network: A multi-attribute decision-based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 611(C).
    254. Spelta, A. & Pecora, N. & Rovira Kaltwasser, P., 2019. "Identifying Systemically Important Banks: A temporal approach for macroprudential policies," Journal of Policy Modeling, Elsevier, vol. 41(1), pages 197-218.
    255. Hubert Gabrisch, 2021. "Die prekäre alte Normalität der EU und die Notwendigkeit zur Reform [The EU’s Precarious Old Normal and the Need for Reform]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 101(10), pages 814-820, October.
    256. Paolo Tasca & Stefano Battiston, "undated". "Market Procyclicality and Systemic Risk," Working Papers ETH-RC-12-012, ETH Zurich, Chair of Systems Design.
    257. Rahul Kaushik & Stefano Battiston, 2013. "Credit Default Swaps Drawup Networks: Too Interconnected to Be Stable?," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-8, July.
    258. Opeoluwa Banwo & Fabio Caccioli & Paul Harrald & Francesca Medda, 2016. "The Effect Of Heterogeneity On Financial Contagion Due To Overlapping Portfolios," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(08), pages 1-20, December.
    259. Glasserman, Paul & Young, H. Peyton, 2016. "Contagion in financial networks," LSE Research Online Documents on Economics 68681, London School of Economics and Political Science, LSE Library.
    260. Michele Bonollo & Irene Crimaldi & Andrea Flori & Fabio Pammolli & Massimo Riccaboni, 2014. "Systemic importance of financial institutions: regulations, research, open issues, proposals," Working Papers 2/2014, IMT School for Advanced Studies Lucca, revised Mar 2014.
    261. Steinbacher, Matjaz & Steinbacher, Mitja & Steinbacher, Matej, 2013. "Credit Contagion in Financial Markets: A Network-Based Approach," MPRA Paper 49616, University Library of Munich, Germany.
    262. Zornitsa Todorova, 2020. "Network Risk in the European Sovereign CDS Market," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 12(2), pages 137-154, December.
    263. Alessandro Spelta, 2016. "A unfi ed view of systemic risk: detecting SIFIs and forecasting the fi nancial cycle via EWSs," DISCE - Working Papers del Dipartimento di Economia e Finanza def036, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    264. Navarro, Noemí & Tran, Dan H., 2018. "Shock Diffusion in Regular Networks: The Role of Transitive Cycles," MPRA Paper 86267, University Library of Munich, Germany.
    265. Roy Cerqueti & Gian Paolo Clemente & Rosanna Grassi, 2021. "Systemic risk assessment through high order clustering coefficient," Annals of Operations Research, Springer, vol. 299(1), pages 1165-1187, April.
    266. Wäckerle, Manuel, 2013. "On the bottom-up foundations of the banking-macro nexus," Economics Discussion Papers 2013-5, Kiel Institute for the World Economy (IfW Kiel).
    267. Irena Vodenska & Hideaki Aoyama & Yoshi Fujiwara & Hiroshi Iyetomi & Yuta Arai, 2016. "Interdependencies and Causalities in Coupled Financial Networks," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-32, March.
    268. Caballero, Julian, 2015. "Banking crises and financial integration: Insights from networks science," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 127-146.
    269. Steven N. Durlauf, 2012. "Complexity, economics, and public policy," Politics, Philosophy & Economics, , vol. 11(1), pages 45-75, February.
    270. Monica Billio & Mila Getmansky & Andrew W. Lo & Loriana Pelizzon, 2010. "Econometric Measures of Systemic Risk in the Finance and Insurance Sectors," NBER Working Papers 16223, National Bureau of Economic Research, Inc.
    271. Tabak, Benjamin Miranda & Silva, Thiago Christiano & Fiche, Marcelo Estrela & Braz, Tércio, 2021. "Citation likelihood analysis of the interbank financial networks literature: A machine learning and bibliometric approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    272. Tasca, Paolo & Battiston, Stefano & Deghi, Andrea, 2017. "Portfolio diversification and systemic risk in interbank networks," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 96-124.
    273. Didier Wernli & Lucas Böttcher & Flore Vanackere & Yuliya Kaspiarovich & Maria Masood & Nicolas Levrat, 2023. "Understanding and governing global systemic crises in the 21st century: A complexity perspective," Global Policy, London School of Economics and Political Science, vol. 14(2), pages 207-228, May.
    274. Hitoshi Hayakawa, 2020. "Liquidity in Financial Networks," Computational Economics, Springer;Society for Computational Economics, vol. 55(1), pages 253-301, January.
    275. John Nkwoma Inekwe & Yi Jin & Maria Rebecca Valenzuela, 2018. "Global financial network and liquidity risk," Australian Journal of Management, Australian School of Business, vol. 43(4), pages 593-613, November.
    276. Piero Mazzarisi & Silvia Zaoli & Carlo Campajola & Fabrizio Lillo, 2020. "Tail Granger causalities and where to find them: extreme risk spillovers vs. spurious linkages," Papers 2005.01160, arXiv.org, revised May 2021.
    277. Ivan Alves & Stijn Ferrari & Pietro Franchini & Jean-Cyprien Heam & Pavol Jurca & Sam Langfield & Sebastiano Laviola & Franka Liedorp & Antonio Sánchez & Santiago Tavolaro & Guillaume Vuillemey, 2013. "The structure and resilience of the European interbank market," ESRB Occasional Paper Series 03, European Systemic Risk Board.
    278. Muhammad Mohsin Hakeem & Ken-ichi Suzuki, 2016. "Fragility and contagion within European Union's banking system: the network prospective," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 9(2), pages 115-131.
    279. Adão, Luiz F.S. & Silveira, Douglas & Ely, Regis A. & Cajueiro, Daniel O., 2022. "The impacts of interest rates on banks’ loan portfolio risk-taking," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    280. Di Xiao & Andreas Krause, 2022. "Bank demand for central bank liquidity and its impact on interbank markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(3), pages 639-679, July.
    281. Krause, Andreas & Giansante, Simone, 2012. "Interbank lending and the spread of bank failures: A network model of systemic risk," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 583-608.
    282. Lorella Fatone & Francesca Mariani, 2018. "Systemic risk governance in a dynamical model of a banking system," Papers 1812.06973, arXiv.org.
    283. Abad, Jorge & D'Errico, Marco & Killeen, Neill & Luz, Vera & Peltonen, Tuomas A. & Portes, Richard & Urbano, Teresa, 2017. "Mapping the interconnectedness between EU banks and shadow banking entities," ESRB Working Paper Series 40, European Systemic Risk Board.
    284. Ms. Sònia Muñoz & Mr. Ryan Scuzzarella & Mr. Martin Cihak, 2011. "The Bright and the Dark Side of Cross-Border Banking Linkages," IMF Working Papers 2011/186, International Monetary Fund.
    285. Matteo Coronese & Davide Luzzati, 2022. "Economic impacts of natural hazards and complexity science: a critical review," LEM Papers Series 2022/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    286. Ms. Sheri M. Markose, 2012. "Systemic Risk from Global Financial Derivatives: A Network Analysis of Contagion and Its Mitigation with Super-Spreader Tax," IMF Working Papers 2012/282, International Monetary Fund.
    287. Ying Xu & Jennifer Corbett, 2019. "Using Network Method to Measure Financial Interconnection," NBER Working Papers 26499, National Bureau of Economic Research, Inc.
    288. Montagna, Mattia & Lux, Thomas, 2013. "Hubs and resilience: Towards more realistic models of the interbank markets," Kiel Working Papers 1826, Kiel Institute for the World Economy (IfW Kiel).
    289. T. R. Hurd & Davide Cellai & Sergey Melnik & Quentin H. Shao, 2016. "Double Cascade Model Of Financial Crises," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(05), pages 1-27, August.
    290. Wang, Weijia, 2019. "A Pareto Criterion on Systemic Risk," MPRA Paper 93699, University Library of Munich, Germany.
    291. Ozili, Peterson K, 2017. "Earnings Management in Interconnected Networks: A Perspective," MPRA Paper 92647, University Library of Munich, Germany.
    292. Daniel Felix Ahelegbey & Paolo Giudici, 2020. "Market Risk, Connectedness and Turbulence: A Comparison of 21st Century Financial Crises," DEM Working Papers Series 188, University of Pavia, Department of Economics and Management.
    293. Nicolò Pecora & Alessandro Spelta, 2016. "Discovering SIFIs in interbank communities," DISCE - Working Papers del Dipartimento di Economia e Finanza def037, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    294. Marco Bardoscia & Daniele d'Arienzo & Matteo Marsili & Valerio Volpati, 2019. "Lost in Diversification," Papers 1901.09795, arXiv.org.
    295. Thiago Christiano Silva & Michel Alexandre da Silva & Benjamin Miranda Tabak, 2016. "Modeling Financial Networks: a feedback approach," Working Papers Series 438, Central Bank of Brazil, Research Department.
    296. Stefano Zedda & Simone Sbaraglia, 2020. "Which interbank net is the safest?," Risk Management, Palgrave Macmillan, vol. 22(1), pages 65-82, March.
    297. Arun Chandrasekhar & Robert Townsend & Juan Pablo Pablo Xandri, 2019. "Financial Centrality and the Value of Key Players," Working Papers 2019-26, Princeton University. Economics Department..
    298. Ichiro Takahashi & Isamu Okada, 2020. "An artificial Wicksell–Keynes economy integrating short-run business cycle and long-term cumulative trend," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 953-998, October.
    299. Martin Keller-Ressel & Stephanie Nargang, 2020. "The hyperbolic geometry of financial networks," Papers 2005.00399, arXiv.org, revised May 2020.
    300. Morteza Alaeddini & Philippe Madiès & Paul J. Reaidy & Julie Dugdale, 2023. "Interbank money market concerns and actors’ strategies—A systematic review of 21st century literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 573-654, April.
    301. Ahelegbey, Daniel Felix, 2015. "The Econometrics of Bayesian Graphical Models: A Review With Financial Application," MPRA Paper 92634, University Library of Munich, Germany, revised 25 Apr 2016.
    302. Poledna, Sebastian & Bochmann, Olaf & Thurner, Stefan, 2017. "Basel III capital surcharges for G-SIBs are far less effective in managing systemic risk in comparison to network-based, systemic risk-dependent financial transaction taxes," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 230-246.
    303. Marco Pelliccia, 2012. "Risk-sharing and probabilistic network structure," Birkbeck Working Papers in Economics and Finance 1214, Birkbeck, Department of Economics, Mathematics & Statistics.
    304. Paolo Tasca & Stefano Battiston, "undated". "Diversification and Financial Stability," Working Papers CCSS-11-001, ETH Zurich, Chair of Systems Design.
    305. Annarelli, Alessandro & Nonino, Fabio, 2016. "Strategic and operational management of organizational resilience: Current state of research and future directions," Omega, Elsevier, vol. 62(C), pages 1-18.
    306. Wang, Chao & Liu, Xiaoxing & He, Jianmin, 2022. "Does diversification promote systemic risk?," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    307. Bulent Ozel & Mario Eboli & Andrea Toto & Andrea Teglio, 2018. "Robust-yet-fragile: A simulation model on exposure and concentration at interbank networks," Working Papers 2018/15, Economics Department, Universitat Jaume I, Castellón (Spain).
    308. Stefano Zedda & Antonella Spinace-Casale, 2021. "Modeling and Simulating Cross Country Banking Contagion Risks," JRFM, MDPI, vol. 14(8), pages 1-16, July.
    309. Dirk Helbing, 2013. "Economics 2.0: The Natural Step towards A Self-Regulating, Participatory Market Society," Papers 1305.4078, arXiv.org, revised Jun 2013.
    310. Stiglitz Joseph E., 2010. "Contagion, Liberalization, and the Optimal Structure of Globalization," Journal of Globalization and Development, De Gruyter, vol. 1(2), pages 1-47, December.
    311. Li, Fei & Kang, Hao & Xu, Jingfeng, 2022. "Financial stability and network complexity: A random matrix approach," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 177-185.
    312. Elias Aptus & Volker Britz & Hans Gersbach, 2020. "Crisis Contracts," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 70(1), pages 121-164, July.
    313. Anginer, Deniz & Demirguc-Kunt, Asli & Zhu, Min, 2012. "How does bank competition affect systemic stability ?," Policy Research Working Paper Series 5981, The World Bank.
    314. Montagna, Mattia & Lux, Thomas, 2014. "Contagion Risk in the Interbank Market: A Probabilistic Approach to Cope with Incomplete Structural Information," FinMaP-Working Papers 8, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    315. Ma, Jing & He, Jianmin & Liu, Xiaoxing & Wang, Chao, 2019. "Diversification and systemic risk in the banking system," Chaos, Solitons & Fractals, Elsevier, vol. 123(C), pages 413-421.
    316. Arinaminpathy, Nimalan & Kapadia, Sujit & May, Robert, 2012. "Size and complexity in model financial systems," Bank of England working papers 465, Bank of England.
    317. Hamed Amini & Rama Cont & Andreea Minca, 2011. "Resilience to Contagion in Financial Networks," Papers 1112.5687, arXiv.org.
    318. Joseph E Stiglitz & Mauro Gallegati, 2011. "Heterogeneous Interacting Agent Models for Understanding Monetary Economies," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 6-12.
    319. Daniel Felix Ahelegbey, 2015. "The Econometrics of Networks: A Review," Working Papers 2015:13, Department of Economics, University of Venice "Ca' Foscari".
    320. Daniel Felix Ahelegbey & Luis Carvalho & Eric D. Kolaczyk, 2020. "A Bayesian Covariance Graph And Latent Position Model For Multivariate Financial Time Series," DEM Working Papers Series 181, University of Pavia, Department of Economics and Management.
    321. Ítalo Pedrosa & Dany Lang, 2021. "To what extent does aggregate leverage determine financial fragility? New insights from an agent-based stock-flow consistent model," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1221-1275, September.
    322. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    323. Paolo Giudici & Peter Sarlin & Alessandro Spelta, 2016. "The multivariate nature of systemic risk: direct and common exposures," DEM Working Papers Series 118, University of Pavia, Department of Economics and Management.
    324. Wang, Ruting & Althof, Michael & Härdle, Wolfgang, 2021. "A financial risk meter for China," IRTG 1792 Discussion Papers 2021-022, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    325. Rémi Stellian & Jenny P. Danna‐Buitrago, 2020. "Financial distress, free cash flow, and interfirm payment network: Evidence from an agent‐based model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 598-616, October.
    326. De Caux, Robert & McGroarty, Frank & Brede, Markus, 2017. "The evolution of risk and bailout strategy in banking systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 109-118.
    327. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.
    328. Zhang Li & Xiaojun Lin & Borja Peleato-Inarrea & Ilya Pollak, 2014. "Optimal Monitoring and Mitigation of Systemic Risk in Financial Networks," Papers 1410.2570, arXiv.org, revised Dec 2014.
    329. Paul Glasserman & H. Peyton Young, 2016. "Contagion in Financial Networks," Journal of Economic Literature, American Economic Association, vol. 54(3), pages 779-831, September.
    330. Catullo, Ermanno & Gallegati, Mauro & Palestrini, Antonio, 2015. "Systemic risk and macro-prudential policies: A credit network-based approach," FinMaP-Working Papers 39, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    331. Bardoscia, Marco & Ka-Kay Pang, Raymond, 2023. "Ring-fencing in financial networks," Bank of England working papers 1046, Bank of England.
    332. Hubert Gabrisch, 2023. "In The Maelstrom Of Crises: The European Union And The ‘Zeitenwende’," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 68(236), pages 7-27, January –.
    333. Julien Barre & Alain Raybaut & Dominique Torre, 2012. "Banks Connectivity, Credit Risk Transfer and Stability of the Banking System," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 55(1), pages 75-96.
    334. Shi, Qing & Sun, Xiaoqi & Jiang, Yile, 2022. "Concentrated commonalities and systemic risk in China's banking system: A contagion network approach," International Review of Financial Analysis, Elsevier, vol. 83(C).
    335. León, Carlos & Berndsen, Ron J., 2014. "Rethinking financial stability: Challenges arising from financial networks’ modular scale-free architecture," Journal of Financial Stability, Elsevier, vol. 15(C), pages 241-256.
    336. de-Ramon, Sebastián & Iscenko, Zanna & Osborne, Matthew & Straughan, Michael & Andrews, Peter, 2012. "Measuring the impact of prudential policy on the macroeconomy: A practical application to Basel III and other responses to the financial crisis," MPRA Paper 69423, University Library of Munich, Germany.
    337. Diego Aparicio & Daniel Fraiman, 2015. "Banking Networks and Leverage Dependence: Evidence from Selected Emerging Countries," Papers 1507.01901, arXiv.org.
    338. Aymeric Vi'e & Alfredo J. Morales, 2019. "How connected is too connected? Impact of network topology on systemic risk and collapse of complex economic systems," Papers 1912.09814, arXiv.org.
    339. Mechelli, Alessandro & Cimini, Riccardo & Mazzocchetti, Francesca, 2017. "The usefulness of the business model disclosure for investors’ judgements in financial entities. A European study," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 20(1), pages 1-12.
    340. Rebekka Burkholz & Hans J. Herrmann & Frank Schweitzer, 2018. "Explicit size distributions of failure cascades redefine systemic risk on finite networks," Papers 1802.03286, arXiv.org.
    341. Bargigli, Leonardo & Gallegati, Mauro & Riccetti, Luca & Russo, Alberto, 2014. "Network analysis and calibration of the “leveraged network-based financial accelerator”," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 109-125.
    342. Nicolò Pecora & Pablo Rovira Kaltwasser & Alessandro Spelta, 2016. "Discovering SIFIs in Interbank Communities," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-17, December.
    343. León, C., 2015. "Financial stability from a network perspective," Other publications TiSEM bb2e4e44-e842-45c6-a946-4, Tilburg University, School of Economics and Management.

  45. Edoardo Gaffeo & Domenico Delli Gatti & Saul Desiderio & Mauro Gallegati, 2008. "Adaptive microfoundations for emergent macroeconomics," Department of Economics Working Papers 0802, Department of Economics, University of Trento, Italia.

    Cited by:

    1. Alessio Emanuele Biondo & Roberto Cellini & Tiziana Cuccia, 2020. "Choices on museum attendance: An agent‐based approach," Metroeconomica, Wiley Blackwell, vol. 71(4), pages 882-897, November.
    2. I. Salle & Marc Alexandre Senegas & Murat Yildizoglu, 2019. "How transparent about its inflation target should a central bank be?: An agent-based model assessment," Post-Print hal-03026559, HAL.
    3. Bernardo Alves Furtado & Isaque Daniel Eberhardt, 2016. "Modelo Espacial Simples de uma Economia com Agentes: uma proposta metodológica," Discussion Papers 2181, Instituto de Pesquisa Econômica Aplicada - IPEA.
    4. Lengnick, Matthias, 2011. "Agent-based macroeconomics - a baseline model," Economics Working Papers 2011-04, Christian-Albrechts-University of Kiel, Department of Economics.
    5. Alan G. Isaac, 2019. "Exploring the Social-Architecture Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(4), pages 565-589, October.
    6. Chen, Siyan & Desiderio, Saul, 2017. "What moves the Beveridge curve and the Phillips curve: An agent-based analysis," Economics Discussion Papers 2017-65, Kiel Institute for the World Economy (IfW Kiel).
    7. Wei Zhao & Yi Lu & Genfu Feng, 2019. "How Many Agents are Rational in China’s Economy? Evidence from a Heterogeneous Agent-Based New Keynesian Model," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 575-611, August.
    8. Matt V. Leduc & Sebastian Poledna & Stefan Thurner, 2016. "Systemic Risk Management in Financial Networks with Credit Default Swaps," Papers 1601.02156, arXiv.org, revised Oct 2017.
    9. Elizabeth Jane Casabianca & Alessia Lo Turco & Daniela Maggioni, 2021. "Migration And The Structure Of Manufacturing Production. A View From Italian Provinces," Working Papers 448, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    10. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2012. "An Agent Based Decentralized Matching Macroeconomic Model," MPRA Paper 42211, University Library of Munich, Germany.
    11. Orlando Gomes, 2017. "Heterogeneous wage setting and endogenous macro volatility," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(1), pages 27-57, April.
    12. Peter Klimek & Sebastian Poledna & J. Doyne Farmer & Stefan Thurner, 2014. "To bail-out or to bail-in? Answers from an agent-based model," Papers 1403.1548, arXiv.org.
    13. Isabelle Salle & Murat Yildizoglu & Marc-Alexandre Sénégas, 2012. "Inflation targeting in a learning economy: an ABM perspective," Post-Print hal-00798167, HAL.
    14. Dhruv Sharma & Jean-Philippe Bouchaud & Stanislao Gualdi & Marco Tarzia & Francesco Zamponi, 2020. "V-, U-, L-, or W-shaped economic recovery after COVID: Insights from an Agent Based Model," Papers 2006.08469, arXiv.org, revised Feb 2021.
    15. Lengnick, Matthias & Krug, Sebastian & Wohltmann, Hans-Werner, 2012. "Money creation and financial instability: An agent-based credit network approach," Economics Working Papers 2012-15, Christian-Albrechts-University of Kiel, Department of Economics.
    16. Bernardo Alves Furtado & Isaque Daniel Eberhardt Rocha, 2017. "An applied spatial agent-based model of administrative boundaries using SEAL," Papers 1702.03226, arXiv.org, revised Mar 2017.
    17. Safarzyńska, Karolina & van den Bergh, Jeroen C.J.M., 2017. "Integrated crisis-energy policy: Macro-evolutionary modelling of technology, finance and energy interactions," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 119-137.
    18. Heinrich, Torsten, 2015. "Growth Cycles, Network Effects, and Intersectoral Dependence: An Agent-Based Model and Simulation Analysis," MPRA Paper 79575, University Library of Munich, Germany, revised 08 Jun 2017.
    19. Antonio Palestrini, 2015. "Firm Size Distribution and the Survival Bias," Economics Bulletin, AccessEcon, vol. 35(3), pages 1630-1637.
    20. Matthias Lengnick & Hans-Werner Wohltmann, 2013. "Agent-based financial markets and New Keynesian macroeconomics: a synthesis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 1-32, April.
    21. Charlotte Bruun, 2016. "Rediscovering the Economics of Keynes in an Agent-Based Computational Setting," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 12(02), pages 77-96, July.
    22. Opeoluwa Banwo & Paul Harrald & Francesca Medda, 2019. "Understanding the consequences of diversification on financial stability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(2), pages 273-292, June.
    23. Dan Farhat, 2014. "Information Processing, Pattern Transmission and Aggregate Consumption Patterns in New Zealand:," Working Papers 1405, University of Otago, Department of Economics, revised Mar 2014.
    24. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica [A simple spatial economic model: a proposal]," MPRA Paper 67005, University Library of Munich, Germany.
    25. Bernardo Alves Furtado, 2022. "PolicySpace2: Modeling Markets and Endogenous Public Policies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 25(1), pages 1-8.
    26. Dan Farhat, 2012. "Artificial Neural Networks and Aggregate Consumption Patterns in New Zealand," Working Papers 1205, University of Otago, Department of Economics, revised Dec 2012.
    27. Emanuele Ciola & EDOARDO GAFFEO & Mauro Gallegati, 2018. "Matching frictions, credit reallocation and macroeconomic activity: how harmful are financial crises?," DEM Working Papers 2018/05, Department of Economics and Management.
    28. Jean-Philippe Bouchaud & Stanislao Gualdi & Marco Tarzia & Francesco Zamponi, 2018. "Optimal inflation target: insights from an agent-based model," Post-Print hal-01768441, HAL.
    29. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    30. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).
    31. Neveu, Andre R., 2013. "Fiscal policy and business cycle characteristics in a heterogeneous agent macro model," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 224-240.
    32. Pascal Seppecher & Isabelle Salle & Dany Lang, 2016. "Is the market really a good teacher ?," Post-Print hal-01314335, HAL.
    33. Stolzenburg, Ulrich, 2015. "The agent-based Solow growth model with endogenous business cycles," Economics Working Papers 2015-01, Christian-Albrechts-University of Kiel, Department of Economics.
    34. Roberto Tamborini, 2010. "Monetary Policy With Investment–Saving Imbalances," Metroeconomica, Wiley Blackwell, vol. 61(3), pages 473-509, July.
    35. Domenico Gatti & Edoardo Gaffeo & Mauro Gallegati, 2010. "Complex agent-based macroeconomics: a manifesto for a new paradigm," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 5(2), pages 111-135, December.
    36. Rengs, Bernhard & Scholz-Wäckerle, Manuel & van den Bergh, Jeroen, 2020. "Evolutionary macroeconomic assessment of employment and innovation impacts of climate policy packages," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 332-368.
    37. Özge Dilaver & Robert Jump & Paul Levine, 2016. "Agent-based Macroeconomics and Dynamic Stochastic General Equilibrium Models: Where do we go from here?," School of Economics Discussion Papers 0116, School of Economics, University of Surrey.
    38. Cristiano CODAGNONE & Giovanni LIVA & Egidijus BARCEVICIUS & Gianluca MISURACA & Luka KLIMAVICIUTE & Michele BENEDETTI & Irene VANINI & Giancarlo VECCHI & Emily RYEN GLOINSON & Katherine STEWART & Sti, 2020. "Assessing the impacts of digital government transformation in the EU: Conceptual framework and empirical case studies," JRC Research Reports JRC120865, Joint Research Centre.
    39. Ciola, Emanuele & Gaffeo, Edoardo & Gallegati, Mauro, 2022. "Search for profits and business fluctuations: How does banks’ behaviour explain cycles?," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    40. Dan Farhat, 2014. "Artificial Neural Networks and Aggregate Consumption Patterns in New Zealand:," Working Papers 1404, University of Otago, Department of Economics, revised Mar 2014.
    41. Bernardo Alves Furtado & Isaque Daniel Rocha Eberhardt, 2015. "A simple agent-based spatial model of the economy: tools for policy," Papers 1510.04967, arXiv.org, revised Oct 2016.
    42. Tiziana Assenza & Domenico Delli Gatti, 2019. "The financial transmission of shocks in a simple hybrid macroeconomic agent based model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 265-297, March.
    43. Gualdi, Stanislao & Tarzia, Marco & Zamponi, Francesco & Bouchaud, Jean-Philippe, 2015. "Tipping points in macroeconomic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 29-61.
    44. Muliere, Pietro & Suverato, Davide, 2014. "Income and Wealth Distributions in a Population of Heterogeneous Agents," Discussion Papers in Economics 20928, University of Munich, Department of Economics.
    45. Alessandro Caiani & Ermanno Catullo & Mauro Gallegati, 2018. "The effects of fiscal targets in a monetary union: a multi-country agent-based stock flow consistent model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1123-1154.
    46. Gianluca Misuraca & Luigi Geppert & Cristiano Codagnone, 2017. "i-FRAME – Assessing impacts of social policy innovation in the EU: Proposed methodological framework to evaluate socio-economic returns on investment of social policy innovations," JRC Research Reports JRC108078, Joint Research Centre.
    47. Leopoldo S'anchez-Cant'u & Carlos Arturo Soto-Campos & Andriy Kryvko, 2016. "Evidence of Self-Organization in Time Series of Capital Markets," Papers 1604.03996, arXiv.org, revised Mar 2017.
    48. Stanislao Gualdi & Marco Tarzia & Francesco Zamponi & Jean-Philippe Bouchaud, 2017. "Monetary policy and dark corners in a stylized agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(3), pages 507-537, October.
    49. Stefania VITALI & Gabriele TEDESCHI, 2011. "The impact of classes of innovators on Technology, Financial Fragility and Economic Growth," Working Papers 370, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    50. Papadopoulos, Georgios, 2020. "Probing the mechanism: lending rate setting in a data-driven agent-based model," MPRA Paper 102749, University Library of Munich, Germany.
    51. Gianfranco Giulioni & Marcello Silvestri & Edgardo Bucciarelli, 2017. "Firms’ Finance in an Experimentally Microfounded Agent-Based Macroeconomic Model," Metroeconomica, Wiley Blackwell, vol. 68(2), pages 259-320, May.
    52. Fatouh, Mahmoud & Markose, Sheri & Giansante, Simone, 2021. "The impact of quantitative easing on UK bank lending: Why banks do not lend to businesses?," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 928-953.
    53. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial factors in an agent-based macroeconomic model," Economics Discussion Papers 2013-9, Kiel Institute for the World Economy (IfW Kiel).
    54. Adalbert Mayer, 2022. "An Agent-Based Macroeconomic Model with Endogenous Intertemporal Decision Rules," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 48(4), pages 548-579, October.
    55. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046.
    56. Poledna, Sebastian & Bochmann, Olaf & Thurner, Stefan, 2017. "Basel III capital surcharges for G-SIBs are far less effective in managing systemic risk in comparison to network-based, systemic risk-dependent financial transaction taxes," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 230-246.
    57. Riccetti, Luca & Russo, Alberto & Mauro, Gallegati, 2013. "Financial Regulation in an Agent Based Macroeconomic Model," MPRA Paper 51013, University Library of Munich, Germany.
    58. Elisabetta De Antoni, 2009. "Money and finance: the heterodox views of R. Clower, A. Leijonhufvud and H. Minsky," Department of Economics Working Papers 0908, Department of Economics, University of Trento, Italia.
    59. Pasquale Cirillo & Mauro Gallegati, 2012. "The Empirical Validation of an Agent-based Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 38(4), pages 525-547.
    60. Emanuele Ciola & Edoardo Gaffeo & Mauro Gallegati, 2021. "Search for Profits and Business Fluctuations: How Banks' Behaviour Explain Cycles?," Working Papers 450, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    61. Gabriele Tedeschi & Stefania Vitali & Mauro Gallegati, 2014. "The dynamic of innovation networks: a switching model on technological change," Journal of Evolutionary Economics, Springer, vol. 24(4), pages 817-834, September.
    62. Pyo, Dong-Jin, 2015. "Animal spirits and stock market dynamics," ISU General Staff Papers 201501010800005596, Iowa State University, Department of Economics.
    63. Bernardo Alves Furtado, 2018. "Modeling tax distribution in metropolitan regions with PolicySpace," Papers 1901.02391, arXiv.org.
    64. Bouchaud, Jean-Philippe & Gualdi, Stanislao & Tarzia, Marco & Zamponi, Francesco, 2018. "Optimal inflation target: Insights from an agent-based model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-27.
    65. Safarzyńska, Karolina & van den Bergh, Jeroen C.J.M., 2017. "Financial stability at risk due to investing rapidly in renewable energy," Energy Policy, Elsevier, vol. 108(C), pages 12-20.
    66. Bargigli, Leonardo & Gallegati, Mauro & Riccetti, Luca & Russo, Alberto, 2014. "Network analysis and calibration of the “leveraged network-based financial accelerator”," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 109-125.

  46. Domenico Delli Gatti & Mauro Gallegati & Bruce C. Greenwald & Alberto Russo & Joseph E. Stiglitz, 2008. "Financially Constrained Fluctuations in an Evolving Network Economy," NBER Working Papers 14112, National Bureau of Economic Research, Inc.

    Cited by:

    1. Pawe{l} Sieczka & Didier Sornette & Janusz A. Ho{l}yst, 2010. "The Lehman Brothers Effect and Bankruptcy Cascades," Papers 1002.1070, arXiv.org, revised Sep 2011.
    2. de Grauwe, Paul & Macchiarelli, Corrado, 2015. "Animal spirits and credit cycles," LSE Research Online Documents on Economics 63984, London School of Economics and Political Science, LSE Library.
    3. Russo, Alberto, 2010. "Elementi di novità, meccanismi noti e cause di fondo della recente crisi [Elements of novelty, known mechanisms, and fundamental causes of the recent crisis]," MPRA Paper 21648, University Library of Munich, Germany.
    4. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2014. "Fiscal and monetary policies in complex evolving economies," Working Papers hal-03460560, HAL.
    5. Leonardo Bargigli & Gabriele Tedeschi, 2013. "Major trends in agent-based economics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 211-217, October.
    6. Hou, Yunzhang & Wang, Xiaoling & Wu, Yenchun Jim & He, Peixu, 2018. "How does the trust affect the topology of supply chain network and its resilience? An agent-based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 229-241.
    7. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046.
    8. P. Sieczka & D. Sornette & J. Holyst, 2011. "The Lehman Brothers effect and bankruptcy cascades," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 82(3), pages 257-269, August.

  47. Domenico Delli Gatti & Edoardo Gaffeo & Mauro Gallegati, 2008. "A look at the relationship between industrial dynamics and aggregate fluctuations," Department of Economics Working Papers 0803, Department of Economics, University of Trento, Italia.

    Cited by:

    1. Olivér Kovács, 2019. "Grounding Complexity Economics in Framing Modern Governance," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 69(4), pages 571-594, December.

  48. Edoardo Gaffeo & Corrado di Guilmi & Mauro Gallegati & Alberto Russo, 2008. "On the mean/variance relationship of the firm size distribution: evidence and some theory," Department of Economics Working Papers 0805, Department of Economics, University of Trento, Italia.

    Cited by:

    1. Murat ATAN & Emre BOZDAĞ, 2011. "Avrupa Karbonatlı İçecekler Piyasasında Firma Büyüklüğü Ve Büyüklük Genişleme Oranı İlişkisi," Ekonomik Yaklasim, Ekonomik Yaklasim Association, vol. 22(80), pages 19-38.
    2. Elisabetta De Antoni, 2009. "Money and finance: the heterodox views of R. Clower, A. Leijonhufvud and H. Minsky," Department of Economics Working Papers 0908, Department of Economics, University of Trento, Italia.

  49. Di Guilmi, Corrado & Gallegati, Mauro & Landini, Simone, 2008. "Modeling Maximum Entropy and Mean-Field Interaction in Macroeconomics," Economics Discussion Papers 2008-36, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Sander van der Hoog, 2017. "Deep Learning in (and of) Agent-Based Models: A Prospectus," Papers 1706.06302, arXiv.org.

  50. F. Clementi & T. Di Matteo & M. Gallegati & G. Kaniadakis, 2007. "The k-generalized distribution: A new descriptive model for the size distribution of incomes," Papers 0710.3645, arXiv.org, revised Jan 2008.

    Cited by:

    1. Gallegati, Mauro & Kirman, Alan, 2019. "20 years of WEHIA: A journey in search of a safer road," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 5-14.
    2. Sarabia, José María & Prieto, Faustino & Trueba, Carmen & Jordá, Vanesa, 2013. "About the modified Gaussian family of income distributions with applications to individual incomes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(6), pages 1398-1408.
    3. F. Clementi & M. Gallegati, 2016. "New economic windows on income and wealth: The k-generalized family of distributions," Papers 1608.06076, arXiv.org.
    4. Cirillo, Pasquale, 2010. "An analysis of the size distribution of Italian firms by age," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 459-466.
    5. Vladimir Hlasny, 2021. "Parametric representation of the top of income distributions: Options, historical evidence, and model selection," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1217-1256, September.
    6. Yuri Biondi & Simone Righi, 2019. "Inequality, mobility and the financial accumulation process: a computational economic analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(1), pages 93-119, March.
    7. Elvis Oltean, 2016. "Modelling income, wealth, and expenditure data by use of Econophysics," Papers 1603.08383, arXiv.org.
    8. Domma, Filippo & Condino, Francesca & Giordano, Sabrina, 2018. "A new formulation of the Dagum distribution in terms of income inequality and poverty measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 104-126.
    9. F. Clementi & M. Gallegati & G. Kaniadakis, 2012. "A generalized statistical model for the size distribution of wealth," Papers 1209.4787, arXiv.org, revised Dec 2012.
    10. Soares, Abner D. & Moura Jr., Newton J. & Ribeiro, Marcelo B., 2016. "Tsallis statistics in the income distribution of Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 158-171.
    11. Maria Letizia Bertotti & Giovanni Modanese, 2015. "Economic inequality and mobility in kinetic models for social sciences," Papers 1504.03232, arXiv.org.
    12. Aktaev, Nurken E. & Bannova, K.A., 2022. "Mathematical modeling of probability distribution of money by means of potential formation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 595(C).
    13. F. Chami Figueira & N. J. Moura Jr & Marcelo B. Ribeiro, 2010. "The Gompertz-Pareto Income Distribution," Papers 1010.1994, arXiv.org.
    14. José María Sarabia & Vanesa Jordá & Lorena Remuzgo, 2017. "The Theil Indices in Parametric Families of Income Distributions—A Short Review," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 867-880, December.
    15. Hernández-Pérez, R., 2010. "An analogy of the size distribution of business firms with Bose–Einstein statistics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(18), pages 3837-3843.
    16. Sarabia, José María & Jordá, Vanesa, 2014. "Explicit expressions of the Pietra index for the generalized function for the size distribution of income," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 582-595.
    17. Bourguignon, Marcelo & Saulo, Helton & Fernandez, Rodrigo Nobre, 2016. "A new Pareto-type distribution with applications in reliability and income data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 166-175.
    18. Pasquale Cirillo, 2009. "Some evidence about the evolution of the size distribution of Italian firms by age," Economics Bulletin, AccessEcon, vol. 29(3), pages 1723-1730.
    19. da Silva, Sérgio Luiz E.F., 2021. "κ-generalised Gutenberg–Richter law and the self-similarity of earthquakes," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).

  51. Corrado Di Guilmi & Mauro Gallegati & Simone Landini, 2007. "Economic dynamics with financial fragility and mean-field interaction: a model," Papers 0709.2083, arXiv.org.

    Cited by:

    1. Tohmé, Fernando & Larrosa, Juan M.C., 2016. "Architectures engender crises: The emergence of power laws in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 305-316.
    2. Ramis Khabibullin & Alexey Ponomarenko, 2022. "An empirical behavioral model of household’s deposit dollarization," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(3), pages 827-847, July.
    3. Gualdi, Stanislao & Tarzia, Marco & Zamponi, Francesco & Bouchaud, Jean-Philippe, 2015. "Tipping points in macroeconomic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 29-61.

  52. Dalit Contini & Annette Riehl & Andrea Scagni, 2007. "The Role of Family Background on Secondary School Choices," LABORatorio R. Revelli Working Papers Series 72, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Joseph E. Stiglitz, 2010. "Risk and Global Economic Architecture: Why Full Financial Integration May Be Undesirable," NBER Working Papers 15718, National Bureau of Economic Research, Inc.

  53. Mauro Gallegati & Bruce Greenwald & Matteo Richiardi & Joseph Stiglitz, 2007. "The Asymmetric Effect of Diffusion Processes: Risk Sharing and Contagion," LABORatorio R. Revelli Working Papers Series 71, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Frank A.G. den Butter, 2011. "The Macroeconomics of the Credit Crisis: In Search of Externalities for Macro Prudential Supervision," Chapters, in: Emiel F.M. Wubben (ed.), Institutions and Regulation for Economic Growth?, chapter 10, Edward Elgar Publishing.
    2. Mayer-Foulkes David A, 2010. "Long-Term Fundamentals of the 2008 Economic Crisis," Global Economy Journal, De Gruyter, vol. 9(4), pages 1-25, January.
    3. Joseph E. Stiglitz, 2013. "Stable Growth in an Era of Crises; Learning from Economic Theory and History," Ekonomi-tek - International Economics Journal, Turkish Economic Association, vol. 2(1), pages 1-39, January.
    4. Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2016. "Macroeconomic implications of mortgage loans requirements: An agent based approach," Working Papers 2016/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    5. Anna Ferragina & Fernanda Mazzotta, 2015. "Agglomeration economies in Italy: impact on heterogeneous firms’ exit in a multilevel framework," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 42(4), pages 395-440, December.
    6. Roy, Saktinil & Kemme, David M., 2012. "Causes of banking crises: Deregulation, credit booms and asset bubbles, then and now," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 270-294.
    7. Joseph E. Stiglitz, 2011. "Rethinking Macroeconomics: What Failed, And How To Repair It," Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 591-645, August.
    8. Joseph E. Stiglitz, 2017. "Where Modern Macroeconomics Went Wrong," NBER Working Papers 23795, National Bureau of Economic Research, Inc.
    9. David Rooney & Tom Mandeville & Tim Kastelle, 2013. "Abstract Knowledge and Reified Financial Innovation: Building Wisdom and Ethics Into Financial Innovation Networks," Journal of Business Ethics, Springer, vol. 118(3), pages 447-459, December.
    10. Roy, Saktinil & Kemme, David M., 2020. "The run-up to the global financial crisis: A longer historical view of financial liberalization, capital inflows, and asset bubbles," International Review of Financial Analysis, Elsevier, vol. 69(C).
    11. Ky-Hyang Yuhn & Sang Bong Kim & Joo Ha Nam, 2015. "Bubbles and the Weibull distribution: was there an explosive bubble in US stock prices before the global economic crisis?," Applied Economics, Taylor & Francis Journals, vol. 47(3), pages 255-271, January.
    12. Highfill Jannett, 2008. "The Economic Crisis as of December 2008: The Global Economy Journal Weighs In," Global Economy Journal, De Gruyter, vol. 8(4), pages 1-7, December.
    13. Soete, Luc, 2009. "Malthus' Revenge," MERIT Working Papers 2009-030, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    14. Giulio Cainelli & Sandro Montresor & Giuseppe Vittucci Marzetti, 2012. "Production and financial linkages in inter-firm networks: structural variety, risk-sharing and resilience," Journal of Evolutionary Economics, Springer, vol. 22(4), pages 711-734, September.
    15. Naude Wim, 2011. "Global Finance after the Crisis: Reform Imperatives and Vested Interests," Global Economy Journal, De Gruyter, vol. 11(2), pages 1-22, July.
    16. Shoham Amir & Pelzman Joseph, 2011. "A Review of the Crises," Global Economy Journal, De Gruyter, vol. 11(2), pages 1-19, July.
    17. Joseph E. Stiglitz, 2010. "Risk and Global Economic Architecture: Why Full Financial Integration May Be Undesirable," NBER Working Papers 15718, National Bureau of Economic Research, Inc.
    18. Roy, Saktinil, 2022. "What drives the systemic banking crises in advanced economies?," Global Finance Journal, Elsevier, vol. 54(C).
    19. Emiel F.M. Wubben (ed.), 2011. "Institutions and Regulation for Economic Growth?," Books, Edward Elgar Publishing, number 14256.
    20. Firano, Zakaria & Filali adib, Fatine, 2019. "Intersectorial contagion risk in Morocco," MPRA Paper 95343, University Library of Munich, Germany.
    21. Joseph E. Stiglitz, 2015. "Towards a General Theory of Deep Downturns," NBER Working Papers 21444, National Bureau of Economic Research, Inc.
    22. Di Guilmi, C. & Gallegati, M. & Landini, S. & Stiglitz, J.E., 2020. "An analytical solution for network models with heterogeneous and interacting agents," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 189-220.
    23. Anna Maria Ferragina & Fernanda Mazzotta, 2014. "Agglomeration economies and global activities: impact on firm survival," ERSA conference papers ersa14p348, European Regional Science Association.
    24. Stiglitz Joseph E., 2010. "Contagion, Liberalization, and the Optimal Structure of Globalization," Journal of Globalization and Development, De Gruyter, vol. 1(2), pages 1-47, December.
    25. Joseph E Stiglitz & Mauro Gallegati, 2011. "Heterogeneous Interacting Agent Models for Understanding Monetary Economies," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 6-12.
    26. Andrei GIURESCU, 2019. "The global context of economic crises and cohesion funds in the EU," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(618), S), pages 37-50, Spring.

  54. Domenico Delli Gatti & Mauro Gallegati & Bruce C. Greenwald & Joseph E. Stiglitz, 2007. "Net Worth, Exchange Rates, and Monetary Policy: The Effects of a Devaluation in a Financially Fragile Environment," NBER Working Papers 13244, National Bureau of Economic Research, Inc.

    Cited by:

    1. Kohler, Karsten, 2019. "Exchange rate dynamics, balance sheet effects, and capital flows. A Minskyan model of emerging market boom-bust cycles," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 270-283.
    2. Canofari Paolo & Di Bartolomeo Giovanni, 2016. "Regime switches under policy uncertainty in monetary unions," wp.comunite 00126, Department of Communication, University of Teramo.
    3. Aysun, Uluc, 2008. "Automatic stabilizer feature of fixed exchange rate regimes," Emerging Markets Review, Elsevier, vol. 9(4), pages 302-328, December.
    4. Köhler, Karsten, 2016. "Currency devaluations, aggregate demand, and debt dynamics in an economy with foreign currency liabilities," IPE Working Papers 78/2016, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
    5. Tatiana Evdokimova & Pavel Trunin & Andrei Zubarev, 2013. "The Impact of the Real Ruble Exchange Rate on the Economic Activity in Russia," Research Paper Series, Gaidar Institute for Economic Policy, issue 165P, pages 164-164.
    6. Lorenzo Nalin & Giuliano Toshiro Yajima, 2020. "Balance Sheet Effects of a Currency Devaluation: A Stock-Flow Consistent Framework for Mexico?," Economics Working Paper Archive wp_980, Levy Economics Institute.

  55. Assenza, T. & Delli Gatti, D. & Gallegati, M., 2007. "Heterogeneity and Aggregation in a Financial Accelerator Model," CeNDEF Working Papers 07-13, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Jan Toporowski, 2013. "The Elgar Companion to Hyman Minsky," Review of Political Economy, Taylor & Francis Journals, vol. 25(1), pages 175-177, January.
    2. Nadja König & Ingrid Größl, 2014. "Catching up with the Joneses and Borrowing Constraints: An Agent-based Analysis of Household Debt," Macroeconomics and Finance Series 201404, University of Hamburg, Department of Socioeconomics.
    3. Severin Reissl, 2021. "Heterogeneous expectations, forecasting behaviour and policy experiments in a hybrid Agent-based Stock-flow-consistent model," Journal of Evolutionary Economics, Springer, vol. 31(1), pages 251-299, January.

  56. F. Clementi & T. Di Matteo & M. Gallegati, 2006. "The Power-law Tail Exponent of Income Distributions," Papers physics/0603061, arXiv.org.

    Cited by:

    1. Lautier, Delphine & Raynaud, Franck, 2011. "Statistical properties of derivatives: A journey in term structures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 2009-2019.
    2. C. Guilmi & F. Clementi & T. Matteo & M. Gallegati, 2008. "Social networks and labour productivity in Europe: an empirical investigation," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 3(1), pages 43-57, June.
    3. Carl Chiarella & Corrado Di Guilmi, 2011. "Limit Distribution of Evolving Strategies in Financial Markets," Research Paper Series 294, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. Alberto Russo, 2009. "On the evolution of the Italian bank branch distribution," Economics Bulletin, AccessEcon, vol. 29(3), pages 2063-2078.
    5. Laura Carvalho & Corrado Di Guilmi, 2020. "Technological unemployment and income inequality: a stock-flow consistent agent-based approach," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 39-73, January.
    6. Guo, Qiang & Gao, Li, 2012. "Distribution of individual incomes in China between 1992 and 2009," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(21), pages 5139-5145.
    7. Hu, Feng-Rung, 2008. "On the estimation of the power-law exponent in the mean-field Bouchaud–Mézard model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(18), pages 4605-4614.
    8. Brzezinski, Michal, 2014. "Do wealth distributions follow power laws? Evidence from ‘rich lists’," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 406(C), pages 155-162.
    9. Costas Efthimiou & Adam Wearne, 2016. "Household Income Distribution in the USA," Papers 1602.06234, arXiv.org.
    10. Coronel-Brizio, H.F. & Hernández-Montoya, A.R., 2010. "The Anderson–Darling test of fit for the power-law distribution from left-censored samples," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(17), pages 3508-3515.
    11. Liu, Shengli & Liang, Yongtu, 2021. "Statistics of catastrophic hazardous liquid pipeline accidents," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    12. Boris M. Dolgonosov, 2018. "A Conceptual Model of the Relationship Among World Economy and Climate Indicators," Biophysical Economics and Resource Quality, Springer, vol. 3(1), pages 1-15, March.
    13. Jovanovic, Franck & Schinckus, Christophe, 2017. "Econophysics and Financial Economics: An Emerging Dialogue," OUP Catalogue, Oxford University Press, number 9780190205034, Decembrie.
    14. Zoltan Kuscsik & Denis Horvath, 2007. "Statistical properties of agent-based market area model," Papers 0710.0459, arXiv.org.
    15. Ermanno Catullo & Antonio Palestrini & Ruggero Grilli & Mauro Gallegati, 2018. "Early warning indicators and macro-prudential policies: a credit network agent based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 81-115, April.
    16. Safari, Muhammad Aslam Mohd & Masseran, Nurulkamal & Ibrahim, Kamarulzaman, 2018. "Optimal threshold for Pareto tail modelling in the presence of outliers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 169-180.
    17. Rota, Mauro & Schettino, Francesco & Spinesi, Luca, 2017. "Key inventors, teams and firm performance: The Italian case," Structural Change and Economic Dynamics, Elsevier, vol. 42(C), pages 13-25.
    18. Victor M. Yakovenko & J. Barkley Rosser, 2009. "Colloquium: Statistical mechanics of money, wealth, and income," Papers 0905.1518, arXiv.org, revised Dec 2009.

  57. E. Gaffeo & M. Catalano & F. Clementi & D. Delli Gatti & M. Gallegati & A. Russo, 2006. "Reflections on Modern Macroeconomics: Can We Travel Along a Safer Road?," Papers physics/0608148, arXiv.org.

    Cited by:

    1. Lengnick, Matthias, 2011. "Agent-based macroeconomics - a baseline model," Economics Working Papers 2011-04, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    3. N. J. Moura & M. B. Ribeiro, 2009. "Evidence for the Gompertz curve in the income distribution of Brazil 1978–2005," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 67(1), pages 101-120, January.
    4. Edoardo Gaffeo & Domenico Delli Gatti & Saul Desiderio & Mauro Gallegati, 2008. "Adaptive Microfoundations for Emergent Macroeconomics," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 34(4), pages 441-463.
    5. Russo, Alberto & Riccetti, Luca & Gallegati, Mauro, 2013. "Increasing Inequality and Financial Fragility in an An Agent Based Macroeconomic Model," MPRA Paper 51528, University Library of Munich, Germany.
    6. Neveu, Andre R., 2013. "Fiscal policy and business cycle characteristics in a heterogeneous agent macro model," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 224-240.
    7. Wright, Ian, 2008. "Implicit Microfoundations for Macroeconomics," Economics Discussion Papers 2008-41, Kiel Institute for the World Economy (IfW Kiel).
    8. Özge Dilaver & Robert Jump & Paul Levine, 2016. "Agent-based Macroeconomics and Dynamic Stochastic General Equilibrium Models: Where do we go from here?," School of Economics Discussion Papers 0116, School of Economics, University of Surrey.
    9. Colombier, Carsten, 2011. "Konjunktur und Wachstum [Business cycles fluctuations and long-term growth]," MPRA Paper 104739, University Library of Munich, Germany.
    10. Pasquale Cirillo & Mauro Gallegati, 2012. "The Empirical Validation of an Agent-based Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 38(4), pages 525-547.

  58. Enrico Scalas & Mauro Gallegati & Eric Guerci & David Mas & Alessandra Tedeschi, 2006. "Growth and Allocation of Resources in Economics: The Agent-Based Approach," Papers physics/0608221, arXiv.org.

    Cited by:

    1. Erlingsson, Einar Jón & Alfarano, Simone & Raberto, Marco & Stefánsson, Hlynur, 2012. "On the distributional properties of size, pro fit and growth of Icelandic firms," MPRA Paper 35857, University Library of Munich, Germany.
    2. Carmen Pellicer-Lostao & Ricardo Lopez-Ruiz, 2011. "Application of Chaotic Number Generators in Econophysics," Papers 1110.4506, arXiv.org, revised Oct 2011.
    3. Angle, John, 2011. "The particle system model of income and wealth more likely to imply an analogue of thermodynamics in social science," MPRA Paper 28864, University Library of Munich, Germany.
    4. Pavel Exner & Petr v{S}eba, 2007. "A Markov process associated with plot-size distribution in Czech Land Registry and its number-theoretic properties," Papers 0711.1836, arXiv.org, revised Dec 2007.

  59. F. Clementi & M. Gallegati & G. Kaniadakis, 2006. "k-Generalized Statistics in Personal Income Distribution," Papers physics/0607293, arXiv.org, revised Feb 2007.

    Cited by:

    1. F. Clementi & M. Gallegati, 2016. "New economic windows on income and wealth: The k-generalized family of distributions," Papers 1608.06076, arXiv.org.
    2. Elvis Oltean, 2016. "Modelling income, wealth, and expenditure data by use of Econophysics," Papers 1603.08383, arXiv.org.
    3. F. Clementi & M. Gallegati & G. Kaniadakis, 2012. "A generalized statistical model for the size distribution of wealth," Papers 1209.4787, arXiv.org, revised Dec 2012.
    4. Masato Okamoto, 2012. "Evaluation of the goodness of fit of new statistical size distributions with consideration of accurate income inequality estimation," Economics Bulletin, AccessEcon, vol. 32(4), pages 2969-2982.
    5. Anwar Shaikh, Amr Ragab, 2007. "WP 2007-3 An International Comparison of the Incomes of the Vast Majority," SCEPA working paper series. 2007-3, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    6. Soares, Abner D. & Moura Jr., Newton J. & Ribeiro, Marcelo B., 2016. "Tsallis statistics in the income distribution of Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 158-171.
    7. Costas Efthimiou & Adam Wearne, 2016. "Household Income Distribution in the USA," Papers 1602.06234, arXiv.org.
    8. Néda, Zoltán & Gere, István & Biró, Tamás S. & Tóth, Géza & Derzsy, Noemi, 2020. "Scaling in income inequalities and its dynamical origin," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    9. Tapiero, Oren J., 2013. "A maximum (non-extensive) entropy approach to equity options bid–ask spread," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(14), pages 3051-3060.
    10. Masato Okamoto, 2014. "A flexible descriptive model for the size distribution of incomes," Economics Bulletin, AccessEcon, vol. 34(3), pages 1600-1610.
    11. F. Chami Figueira & N. J. Moura Jr & Marcelo B. Ribeiro, 2010. "The Gompertz-Pareto Income Distribution," Papers 1010.1994, arXiv.org.
    12. José María Sarabia & Vanesa Jordá & Lorena Remuzgo, 2017. "The Theil Indices in Parametric Families of Income Distributions—A Short Review," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 867-880, December.
    13. Sarabia, José María & Jordá, Vanesa, 2014. "Explicit expressions of the Pietra index for the generalized function for the size distribution of income," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 582-595.
    14. Bourguignon, Marcelo & Saulo, Helton & Fernandez, Rodrigo Nobre, 2016. "A new Pareto-type distribution with applications in reliability and income data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 166-175.
    15. Victor M. Yakovenko & J. Barkley Rosser, 2009. "Colloquium: Statistical mechanics of money, wealth, and income," Papers 0905.1518, arXiv.org, revised Dec 2009.

  60. Vincenzo Tola & Fabrizio Lillo & Mauro Gallegati & Rosario N. Mantegna, 2005. "Cluster analysis for portfolio optimization," Papers physics/0507006, arXiv.org.

    Cited by:

    1. Thomas Trier Bjerring & Omri Ross & Alex Weissensteiner, 2017. "Feature selection for portfolio optimization," Annals of Operations Research, Springer, vol. 256(1), pages 21-40, September.
    2. Nikolaus Hautsch & Lada M. Kyj & Peter Malec, 2013. "Do High-Frequency Data Improve High-Dimensional Portfolio Allocations?," SFB 649 Discussion Papers SFB649DP2013-014, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    3. Almeida, Lucas Milanez de Lima & Balanco, Paulo Antonio de Freitas, 2020. "Application of multivariate analysis as complementary instrument in studies about structural changes: An example of the multipliers in the US economy," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 189-207.
    4. Urbanowicz, Krzysztof & Richmond, Peter & Hołyst, Janusz A., 2007. "Risk evaluation with enhanced covariance matrix," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 468-474.
    5. Alina Lucia Trifan, 2009. "Testing Capital Asset Pricing Model For Romanian Capital Market," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(11), pages 1-43.
    6. Paolo Giudici & Gloria Polinesi & Alessandro Spelta, 2022. "Network models to improve robot advisory portfolios," Annals of Operations Research, Springer, vol. 313(2), pages 965-989, June.
    7. Gautier Marti & S'ebastien Andler & Frank Nielsen & Philippe Donnat, 2016. "Clustering Financial Time Series: How Long is Enough?," Papers 1603.04017, arXiv.org, revised Apr 2016.
    8. M. Tumminello & T. Di Matteo & T. Aste & R. N. Mantegna, 2007. "Correlation based networks of equity returns sampled at different time horizons," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 55(2), pages 209-217, January.
    9. Sandoval, Leonidas & Franca, Italo De Paula, 2012. "Correlation of financial markets in times of crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(1), pages 187-208.
    10. N. C. Suganya & G. A. Vijayalakshmi Pai, 2010. "Pareto‐archived evolutionary wavelet network for financial constrained portfolio optimization," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 17(2), pages 59-90, April.
    11. Zhao, Longfeng & Wang, Gang-Jin & Wang, Mingang & Bao, Weiqi & Li, Wei & Stanley, H. Eugene, 2018. "Stock market as temporal network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1104-1112.
    12. Musmeci, Nicoló & Aste, Tomaso & Di Matteo, T., 2015. "Relation between financial market structure and the real economy: comparison between clustering methods," LSE Research Online Documents on Economics 61644, London School of Economics and Political Science, LSE Library.
    13. Leonidas Sandoval Junior & Italo De Paula Franca, 2011. "Correlation of financial markets in times of crisis," Papers 1102.1339, arXiv.org, revised Mar 2011.
    14. Eom, Cheoljun & Park, Jong Won, 2017. "Effects of common factors on stock correlation networks and portfolio diversification," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 1-11.
    15. Yves Dominicy & Hiroaki Ogata & David Veredas, 2013. "Inference for vast dimensional elliptical distributions," Computational Statistics, Springer, vol. 28(4), pages 1853-1880, August.
    16. Gautier Marti & Frank Nielsen & Miko{l}aj Bi'nkowski & Philippe Donnat, 2017. "A review of two decades of correlations, hierarchies, networks and clustering in financial markets," Papers 1703.00485, arXiv.org, revised Nov 2020.
    17. Peter N. Posch & Daniel Ullmann & Dominik Wied, 2019. "Detecting structural changes in large portfolios," Empirical Economics, Springer, vol. 56(4), pages 1341-1357, April.
    18. Gautier Marti & Frank Nielsen & Philippe Donnat & S'ebastien Andler, 2016. "On clustering financial time series: a need for distances between dependent random variables," Papers 1603.07822, arXiv.org.
    19. M. Tumminello & F. Lillo & R. N. Mantegna, 2008. "Correlation, hierarchies, and networks in financial markets," Papers 0809.4615, arXiv.org.
    20. Djauhari, Maman Abdurachman & Gan, Siew Lee, 2013. "Minimal spanning tree problem in stock networks analysis: An efficient algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2226-2234.
    21. Leonidas Sandoval Junior & Adriana Bruscato & Maria Kelly Venezuela, 2012. "Building portfolios of stocks in the S\~ao Paulo Stock Exchange using Random Matrix Theory," Papers 1201.0625, arXiv.org, revised Mar 2013.
    22. Nicolò Musmeci & Vincenzo Nicosia & Tomaso Aste & Tiziana Di Matteo & Vito Latora, 2017. "The Multiplex Dependency Structure of Financial Markets," Complexity, Hindawi, vol. 2017, pages 1-13, September.
    23. Bhattacharjee, Biplab & Kumar, Rajiv & Senthilkumar, Arunachalam, 2022. "Unidirectional and bidirectional LSTM models for edge weight predictions in dynamic cross-market equity networks," International Review of Financial Analysis, Elsevier, vol. 84(C).
    24. Sebastiano Michele Zema & Giorgio Fagiolo & Tiziano Squartini & Diego Garlaschelli, 2021. "Mesoscopic Structure of the Stock Market and Portfolio Optimization," LEM Papers Series 2021/45, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    25. Nicolo Musmeci & Tomaso Aste & Tiziana Di Matteo, 2014. "Relation between Financial Market Structure and the Real Economy: Comparison between Clustering Methods," Papers 1406.0496, arXiv.org, revised Jan 2015.
    26. Johann Pfitzinger & Nico Katzke, 2019. "A constrained hierarchical risk parity algorithm with cluster-based capital allocation," Working Papers 14/2019, Stellenbosch University, Department of Economics.
    27. Hautsch, Nikolaus & Kyj, Lada M. & Hautsch, Nikolaus, 2009. "A blocking and regularization approach to high dimensional realized covariance estimation," CFS Working Paper Series 2009/20, Center for Financial Studies (CFS).
    28. Eom, Cheoljun & Park, Jong Won, 2018. "A new method for better portfolio investment: A case of the Korean stock market," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 213-231.
    29. Ahmet Sensoy & Duc Khuong Nguyen & Ahmed Rostom & Erk Hacihasanoglu, 2019. "Dynamic integration and network structure of the EMU sovereign bond markets," Annals of Operations Research, Springer, vol. 281(1), pages 297-314, October.
    30. Sensoy, Ahmet & Tabak, Benjamin M., 2014. "Dynamic spanning trees in stock market networks: The case of Asia-Pacific," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 387-402.
    31. Francesca Mariani & Gloria Polinesi & Maria Cristina Recchioni, 2022. "A tail-revisited Markowitz mean-variance approach and a portfolio network centrality," Computational Management Science, Springer, vol. 19(3), pages 425-455, July.
    32. Esmalifalak, Hamidreza, 2022. "Euclidean (dis)similarity in financial network analysis," Global Finance Journal, Elsevier, vol. 53(C).
    33. Xing, Xin & Hu, Jinjin & Yang, Yaning, 2014. "Robust minimum variance portfolio with L-infinity constraints," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 107-117.
    34. Golosnoy, Vasyl & Okhrin, Yarema, 2009. "Flexible shrinkage in portfolio selection," Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 317-328, February.
    35. Longfeng Zhao & Chao Wang & Gang-Jin Wang & H. Eugene Stanley & Lin Chen, 2021. "Community detection and portfolio optimization," Papers 2112.13383, arXiv.org.
    36. Sukono & Dedi Rosadi & Di Asih I Maruddani & Riza Andrian Ibrahim & Muhamad Deni Johansyah, 2024. "Mechanisms of Stock Selection and Its Capital Weighing in the Portfolio Design Based on the MACD-K-Means-Mean-VaR Model," Mathematics, MDPI, vol. 12(2), pages 1-22, January.
    37. Cai, Yumei & Cui, Xiaomei & Huang, Qianyun & Sun, Jianqiang, 2017. "Hierarchy, cluster, and time-stable information structure of correlations between international financial markets," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 562-573.
    38. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2013. "Financial Risk Measurement for Financial Risk Management," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1127-1220, Elsevier.
    39. Pinar OKAN GOKTEN & Furkan BASER & Soner GOKTEN, 2017. "Using fuzzy c-means clustering algorithm in financial health scoring," The Audit Financiar journal, Chamber of Financial Auditors of Romania, vol. 15(147), pages 385-385.
    40. Justo Puerto & Moises Rodr'iguez-Madrena & Andrea Scozzari, 2019. "Location and portfolio selection problems: A unified framework," Papers 1907.07101, arXiv.org.
    41. Fabrizio Durante & Roberta Pappadà & Nicola Torelli, 2015. "Clustering of time series via non-parametric tail dependence estimation," Statistical Papers, Springer, vol. 56(3), pages 701-721, August.
    42. Haihua Yu & Zhiyi Zhuo & Jing Zhang, 2023. "Research on the Spatial Correlation and Influence Factors of Regional Internet Finance in China," SAGE Open, , vol. 13(3), pages 21582440231, August.
    43. Bilgehan Tekin & Fatih Burak Gümüs, 2017. "The Classification of Stocks with Basic Financial Indicators: An Application of Cluster Analysis on the BIST 100 Index," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(5), pages 104-131, May.
    44. Tabak, Benjamin M. & Serra, Thiago R. & Cajueiro, Daniel O., 2010. "Topological properties of stock market networks: The case of Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(16), pages 3240-3249.
    45. Gautier Marti & Sébastien Andler & Frank Nielsen & Philippe Donnat, 2016. "Clustering Financial Time Series: How Long is Enough?," Post-Print hal-01400395, HAL.
    46. Kapil Panda, 2023. "Analysis of Optimal Portfolio Management Using Hierarchical Clustering," Papers 2308.11202, arXiv.org.
    47. R'emy Chicheportiche, 2013. "Non-linear dependences in finance," Papers 1309.5073, arXiv.org.
    48. Gautier Marti & Philippe Very & Philippe Donnat, 2015. "Toward a generic representation of random variables for machine learning," Working Papers hal-01196883, HAL.
    49. Yuze Li & Shangrong Jiang & Yunjie Wei & Shouyang Wang, 2021. "Take Bitcoin into your portfolio: a novel ensemble portfolio optimization framework for broad commodity assets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-26, December.
    50. Nicol'o Musmeci & Tomaso Aste & Tiziana Di Matteo, 2016. "What does past correlation structure tell us about the future? An answer from network filtering," Papers 1605.08908, arXiv.org.
    51. G.A. Vijayalakshmi Pai & Thierry Michel, 2012. "Integrated Metaheuristic Optimization Of 130–30 Investment‐Strategy‐Based Long–Short Portfolios," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(1), pages 43-74, January.
    52. Millington, Tristan & Niranjan, Mahesan, 2021. "Construction of minimum spanning trees from financial returns using rank correlation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    53. Nicol'o Musmeci & Tomaso Aste & Tiziana Di Matteo, 2014. "Risk diversification: a study of persistence with a filtered correlation-network approach," Papers 1410.5621, arXiv.org.
    54. Agliardi, Elettra & Alexopoulos, Thomas & Karvelas, Kleanthis, 2023. "The environmental pillar of ESG and financial performance: A portfolio analysis," Energy Economics, Elsevier, vol. 120(C).
    55. Pablo Cristini Guedes & Fernanda Maria Müller & Marcelo Brutti Righi, 2023. "Risk measures-based cluster methods for finance," Risk Management, Palgrave Macmillan, vol. 25(1), pages 1-56, March.
    56. Marie Briere & Ariane Szafarz, 2021. "When it Rains, it Pours: Multifactor Asset Management in Good and Bad Times," Working Papers CEB 21-002, ULB -- Universite Libre de Bruxelles.
    57. Majapa, Mohamed & Gossel, Sean Joss, 2016. "Topology of the South African stock market network across the 2008 financial crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 445(C), pages 35-47.
    58. Li, Yan & Jiang, Xiong-Fei & Tian, Yue & Li, Sai-Ping & Zheng, Bo, 2019. "Portfolio optimization based on network topology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 671-681.
    59. Sandoval, Leonidas Junior & Bruscato, Adriana & Venezuela, Maria Kelly, 2012. "Building portfolios of stocks in the São Paulo Stock Exchange using Random Matrix Theory," Insper Working Papers wpe_270, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    60. Chen, Yanhua & Li, Youwei & Pantelous, Athanasios A. & Stanley, H. Eugene, 2022. "Short-run disequilibrium adjustment and long-run equilibrium in the international stock markets: A network-based approach," International Review of Financial Analysis, Elsevier, vol. 79(C).
    61. Jang, Wooseok & Lee, Junghoon & Chang, Woojin, 2011. "Currency crises and the evolution of foreign exchange market: Evidence from minimum spanning tree," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 707-718.
    62. Paolo Giudici & Gloria Polinesi, 2021. "Crypto price discovery through correlation networks," Annals of Operations Research, Springer, vol. 299(1), pages 443-457, April.
    63. Guosheng Hu & Yuxin Hu & Kai Yang & Zehao Yu & Flood Sung & Zhihong Zhang & Fei Xie & Jianguo Liu & Neil Robertson & Timothy Hospedales & Qiangwei Miemie, 2017. "Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions," Papers 1709.03803, arXiv.org, revised Feb 2018.
    64. Roy Cerqueti & Catherine Deffains‐Crapsky & Saverio Storani, 2023. "Green finance instruments: Exploring minibonds issuance in Italy," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(4), pages 1965-1986, July.
    65. Justo Puerto & Federica Ricca & Mois'es Rodr'iguez-Madrena & Andrea Scozzari, 2021. "A combinatorial optimization approach to scenario filtering in portfolio selection," Papers 2103.01123, arXiv.org.
    66. Mahdi Massahi & Masoud Mahootchi & Alireza Arshadi Khamseh, 2020. "Development of an efficient cluster-based portfolio optimization model under realistic market conditions," Empirical Economics, Springer, vol. 59(5), pages 2423-2442, November.
    67. Djauhari, Maman Abdurachman & Gan, Siew Lee, 2015. "Optimality problem of network topology in stocks market analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 108-114.
    68. Gautier Marti & Philippe Very & Philippe Donnat & Frank Nielsen, 2015. "A proposal of a methodological framework with experimental guidelines to investigate clustering stability on financial time series," Papers 1509.05475, arXiv.org.
    69. Fabrizio Durante & Roberta Pappadà & Nicola Torelli, 2014. "Clustering of financial time series in risky scenarios," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 8(4), pages 359-376, December.
    70. Výrost, Tomas & Lyócsa, Štefan & Baumöhl, Eduard, 2019. "Network-based asset allocation strategies," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 516-536.
    71. Kazemilari, Mansooreh & Mardani, Abbas & Streimikiene, Dalia & Zavadskas, Edmundas Kazimieras, 2017. "An overview of renewable energy companies in stock exchange: Evidence from minimal spanning tree approach," Renewable Energy, Elsevier, vol. 102(PA), pages 107-117.
    72. Zhang, Yiting & Lee, Gladys Hui Ting & Wong, Jian Cheng & Kok, Jun Liang & Prusty, Manamohan & Cheong, Siew Ann, 2011. "Will the US economy recover in 2010? A minimal spanning tree study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 2020-2050.
    73. Jun Kang & Hyun Jun Lee & Seung Hwan Jeong & Hee Soo Lee & Kyong Joo Oh, 2020. "Developing a Forecasting Model for Real Estate Auction Prices Using Artificial Intelligence," Sustainability, MDPI, vol. 12(7), pages 1-19, April.
    74. Gang-Jin Wang & Chi Xie & H. Eugene Stanley, 2018. "Correlation Structure and Evolution of World Stock Markets: Evidence from Pearson and Partial Correlation-Based Networks," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 607-635, March.
    75. Nicoló Musmeci & Tomaso Aste & T Di Matteo, 2015. "Relation between Financial Market Structure and the Real Economy: Comparison between Clustering Methods," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-24, March.
    76. Jochen Papenbrock & Peter Schwendner, 2015. "Handling risk-on/risk-off dynamics with correlation regimes and correlation networks," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 29(2), pages 125-147, May.
    77. Bajeux-Besnainou, Isabelle & Bandara, Wachindra & Bura, Efstathia, 2012. "A Krylov subspace approach to large portfolio optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 36(11), pages 1688-1699.
    78. Sensoy, Ahmet & Ozturk, Kevser & Hacihasanoglu, Erk & Tabak, Benjamin M., 2017. "Not all emerging markets are the same: A classification approach with correlation based networks," Journal of Financial Stability, Elsevier, vol. 33(C), pages 163-186.
    79. Musmeci, Nicoló & Nicosia, Vincenzo & Aste, Tomaso & Di Matteo, Tiziana & Latora, Vito, 2017. "The multiplex dependency structure of financial markets," LSE Research Online Documents on Economics 85337, London School of Economics and Political Science, LSE Library.
    80. David Matesanz Gomez & Benno Torgler & Guillermo J. Ortega, 2013. "Measuring Global Economic Interdependence: A Hierarchical Network Approach," The World Economy, Wiley Blackwell, vol. 36(12), pages 1632-1648, December.
    81. Titi Purwandari & Riaman & Yuyun Hidayat & Sukono & Riza Andrian Ibrahim & Rizki Apriva Hidayana, 2023. "Selecting and Weighting Mechanisms in Stock Portfolio Design Based on Clustering Algorithm and Price Movement Analysis," Mathematics, MDPI, vol. 11(19), pages 1-22, October.
    82. Sensoy, Ahmet & Hacihasanoglu, Erk & Rostom, Ahmed, 2015. "European economic and monetary union sovereign debt markets," Policy Research Working Paper Series 7149, The World Bank.

  61. Schnizler, Björn & Neumann, Dirk & Veit, Daniel & Napoletano, Mauro & Catalano, Michele & Gallegati, Mauro & Reinicke, Michael & Streitberger, Werner & Eymann, Torsten, 2005. "Environmental analysis for application layer networks," Bayreuth Reports on Information Systems Management 1, University of Bayreuth, Chair of Information Systems Management.

    Cited by:

    1. Veit, Daniel & Buss, Georg & Schnizler, Björn & Neumann, Dirk & Streitberger, Werner & Eymann, Torsten, 2007. "Theoretical and Computational Basis for CATNETS - Annual Report Year 3," Bayreuth Reports on Information Systems Management 23, University of Bayreuth, Chair of Information Systems Management.
    2. Eymann, Torsten & Streitberger, Werner & Veit, Daniel & Buss, Georg & Schnizler, Björn & Neumann, Dirk, 2006. "Theoretical and Computational Basis for CATNETS - Annual Report Year 2," Bayreuth Reports on Information Systems Management 9, University of Bayreuth, Chair of Information Systems Management.

  62. F. Clementi & M. Gallegati, 2005. "Pareto's Law of Income Distribution: Evidence for Germany, the United Kingdom, and the United States," Papers physics/0504217, arXiv.org, revised Mar 2006.

    Cited by:

    1. Barigozzi, Matteo & Alessi, Lucia & Capasso, Marco & Fagiolo, Giorgio, 2009. "The distribution of households consumption-expenditure budget shares," Working Paper Series 1061, European Central Bank.
    2. L. Crosato & P. Ganugi, 2007. "Statistical regularity of firm size distribution: the Pareto IV and truncated Yule for Italian SCI manufacturing," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 16(1), pages 85-115, June.
    3. Bawa, Siraj, 2017. "Corporate Taxation in the Open Economy without Pareto," MPRA Paper 80857, University Library of Munich, Germany, revised Aug 2017.
    4. Pierpaolo Andriani & Bill McKelvey, 2007. "Beyond Gaussian averages: redirecting international business and management research toward extreme events and power laws," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 38(7), pages 1212-1230, December.
    5. Nuno Trindade Magessi & Luis Antunes, 2015. "Risk Perception and Risk Attitude on a Tax Evasion Context," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(3), pages 127-149, September.
    6. Alberto Cardaci & Francesco Saraceno, 2017. "Inequality and Imbalances : a Monetary Union Agent-Based Model," Sciences Po publications 30, Sciences Po.
    7. Jales, Hugo & Jiang, Boqian & Rosenthal, Stuart S., 2023. "JUE Insight: Using the mode to test for selection in city size wage premia," Journal of Urban Economics, Elsevier, vol. 133(C).
    8. Zhao, Bo, 2020. "COVID-19 pandemic, health risks, and economic consequences: Evidence from China," China Economic Review, Elsevier, vol. 64(C).
    9. Alberto CARDACI & Francesco SARACENO, 2015. "Inequality, Financialisation and Economic Crises: An Agent-Based Macro Model," Departmental Working Papers 2015-21, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    10. Yi Wen, 2009. "When does heterogeneity matter?," Working Papers 2009-024, Federal Reserve Bank of St. Louis.
    11. Ji, Qing & Wang, Chunan & Fan, Ying, 2022. "Environmental and welfare effects of vehicle purchase tax: Evidence from China," Energy Economics, Elsevier, vol. 115(C).
    12. Cowell, Frank, 2011. "Inequality among the wealthy," LSE Research Online Documents on Economics 43897, London School of Economics and Political Science, LSE Library.
    13. Yoseph Getachew & Stephen Turnovsky, 2015. "Productive Government Spending and its Consequences for the Growth–Inequality Tradeoff," Working Papers 201520, University of Pretoria, Department of Economics.
    14. Lichard, Tomáš & Hanousek, Jan & Filer, Randall K., 2012. "Measuring the Shadow Economy: Endogenous Switching Regression with Unobserved Separation," IZA Discussion Papers 6901, Institute of Labor Economics (IZA).
    15. Alberto Russo, 2009. "On the evolution of the Italian bank branch distribution," Economics Bulletin, AccessEcon, vol. 29(3), pages 2063-2078.
    16. Vladimir Hlasny, 2021. "Parametric representation of the top of income distributions: Options, historical evidence, and model selection," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1217-1256, September.
    17. D'Orazio, Paola, 2019. "Income inequality, consumer debt, and prudential regulation: An agent-based approach to study the emergence of crises and financial instability," Economic Modelling, Elsevier, vol. 82(C), pages 308-331.
    18. Atsushi Ishida, 2018. "A Bayesian Analysis of Income Distribution Image," SAGE Open, , vol. 8(2), pages 21582440187, May.
    19. Charlotte Bartels & Maria Metzing, 2017. "An Integrated Approach for Top-Corrected Ginis," SOEPpapers on Multidisciplinary Panel Data Research 895, DIW Berlin, The German Socio-Economic Panel (SOEP).
    20. Alberto Cardaci & Francesco Saraceno, 2015. "Inequality, Financialisation and economic crises : an agent-based model," Sciences Po publications 2015-27, Sciences Po.
    21. Mattheus Brenig & Till Proeger, 2018. "Putting a Price Tag on Security: Subjective Well-Being and Willingness-to-Pay for Crime Reduction in Europe," Journal of Happiness Studies, Springer, vol. 19(1), pages 145-166, January.
    22. Alberto Cardaci & Francesco Saraceno, 2015. "Inequality, Financialisation and economic crises : an agent-based model," SciencePo Working papers Main hal-03470036, HAL.
    23. Matteo Barigozzi & Lucia Alessi & Marco Capasso & Giorgio Fagiolo, 2008. "The Distribution of Consumption-Expenditure Budget Shares. Evidence from Italian Households," LEM Papers Series 2008/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    24. Anwar Shaikh & Juan Esteban Jacobo, 2019. "Economic Arbitrage and the Econophysics of Income Inequality," Working Papers 1902, New School for Social Research, Department of Economics.
    25. Gao, Li, 2015. "Evolution of consumption distribution and model of wealth distribution in China between 1995 and 2012," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 76-86.
    26. Ni Zhan, 2021. "Where does the Stimulus go? Deep Generative Model for Commercial Banking Deposits," Papers 2101.09230, arXiv.org.
    27. Ma, Lin & Ruzic, Dimitrije, 2020. "Globalization and top income shares," Journal of International Economics, Elsevier, vol. 125(C).
    28. Safari, Muhammad Aslam Mohd & Masseran, Nurulkamal & Ibrahim, Kamarulzaman, 2018. "A robust semi-parametric approach for measuring income inequality in Malaysia," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1-13.
    29. Moshe Levy & Adi Rizansky Nir, 2014. "The Pricing of Breakthrough Drugs: Theory and Policy Implications," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-12, November.
    30. Fan, Jijian & Friedman, Daniel & Gair, Jonathan & Iyer, Sriya & Redlicki, Bartosz & Velu, Chander, 2021. "A simulation study of how religious fundamentalism takes root," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 465-481.
    31. Cardaci, Alberto & Saraceno, Francesco, 2016. "Inequality, Financialisation and Credit Booms - a Model of Two Crises," LEAP Working Papers 2016/2, Luiss Institute for European Analysis and Policy.
    32. Chakrabarti, Anindya S. & Chakrabarti, Bikas K., 2010. "Statistical theories of income and wealth distribution," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 4, pages 1-31.
    33. Sam K. Hui & Jehoshua Eliashberg & Edward I. George, 2008. "Modeling DVD Preorder and Sales: An Optimal Stopping Approach," Marketing Science, INFORMS, vol. 27(6), pages 1097-1110, 11-12.
    34. Giorgio Fagiolo & Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2010. "On the distributional properties of household consumption expenditures: the case of Italy," Empirical Economics, Springer, vol. 38(3), pages 717-741, June.
    35. Frank A. Cowell & Philippe Kerm, 2015. "Wealth Inequality: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 29(4), pages 671-710, September.
    36. Alberto Cardaci & Francesco Saraceno, 2015. "Inequality, Financialisation and economic crises : an agent-based model," Working Papers hal-03470036, HAL.
    37. Fabio Fiorillo & Agnese Sacchi, 2012. "The Political Economy of the Standard Level of Services: The Role of Income Distribution," CESifo Working Paper Series 3696, CESifo.
    38. Robert Grafstein, 2018. "The problem of polarization," Public Choice, Springer, vol. 176(1), pages 315-340, July.
    39. Igor D. S. Siciliani & Marcelo H. R. Tragtenberg, 2017. "Kinetic theory and Brazilian income distribution," Papers 1709.06480, arXiv.org.
    40. Anand Sahasranaman, 2020. "Long term dynamics of poverty transitions in India," Papers 2010.06954, arXiv.org.
    41. Costas J. Efthimiou & Adam Wearne, 2016. "Household income distribution in the USA," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 89(3), pages 1-6, March.
    42. Drechsler, Jörg & Kiesl, Hans, 2014. "Beat the heap - an imputation strategy for valid inferences from rounded income data," IAB-Discussion Paper 201402, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    43. Tomáš Lichard & Jan Hanousek & Randall K. Filer, 2021. "Hidden in plain sight: using household data to measure the shadow economy," Empirical Economics, Springer, vol. 60(3), pages 1449-1476, March.
    44. Victor M. Yakovenko & J. Barkley Rosser, 2009. "Colloquium: Statistical mechanics of money, wealth, and income," Papers 0905.1518, arXiv.org, revised Dec 2009.

  63. Marco Gallegati & Mauro Gallegati, 2005. "Wavelet variance and correlation analyses of output in G7 countries," Macroeconomics 0512017, University Library of Munich, Germany.

    Cited by:

    1. Ijaz Younis & Cheng Longsheng & Muhammad Farhan Basheer & Ahmed Shafique Joyo, 2020. "Stock market comovements among Asian emerging economies: A wavelet-based approach," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-23, October.
    2. Cifter, Atilla & Ozun, Alper, 2007. "Multiscale Systematic Risk: An Application on ISE-30," MPRA Paper 2484, University Library of Munich, Germany.
    3. Chakrabarty, Anindya & De, Anupam & Gunasekaran, Angappa & Dubey, Rameshwar, 2015. "Investment horizon heterogeneity and wavelet: Overview and further research directions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 45-61.
    4. João Martins, 2022. "Bond Yields Movement Similarities and Synchronization in the G7: A Time–Frequency Analysis," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(2), pages 189-214, July.
    5. Mpoha, Salifya & Bonga-Bonga, Lumengo, 2021. "Spillover effects from China and the US to global emerging markets: a dynamic analysis," MPRA Paper 109349, University Library of Munich, Germany.

  64. Corrado Di Guilmi & Edoardo Gaffeo & Mauro Gallegati & Antonio Palestrini, 2004. "International evidence on business cycle magnitude dependence," Papers cond-mat/0401495, arXiv.org.

    Cited by:

    1. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    2. Carl Chiarella & Corrado Di Guilmi, 2010. "The Financial Instability Hypothesis: A Stochastic Microfoundation Framework," Research Paper Series 273, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.

  65. F. Clementi & M. Gallegati, 2004. "Power Law Tails in the Italian Personal Income Distribution," Papers cond-mat/0408067, arXiv.org.

    Cited by:

    1. Blair Fix, 2018. "Hierarchy and the power-law income distribution tail," Journal of Computational Social Science, Springer, vol. 1(2), pages 471-491, September.
    2. Ogwang, Tomson, 2013. "Is the wealth of the world’s billionaires Paretian?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 757-762.
    3. Bertotti, Maria Letizia & Modanese, Giovanni, 2011. "From microscopic taxation and redistribution models to macroscopic income distributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(21), pages 3782-3793.
    4. Fix, Blair, 2021. "Redistributing Income Through Hierarchy," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue 98, pages 58-86.
    5. Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2021. "An Agent-based Model of Trickle-up Growth and Income Inequality," GREDEG Working Papers 2021-29, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    6. Roy Cerqueti & Marcel Ausloos, 2015. "Statistical assessment of regional wealth inequalities: the Italian case," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2307-2323, November.
    7. López, Ramón & Sturla Zerene, Gino, 2020. "Hyper-fortunes and the super-rich: why a wealth tax makes sense," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    8. F. Clementi & M. Gallegati, 2005. "Pareto's Law of Income Distribution: Evidence for Germany, the United Kingdom, and the United States," Papers physics/0504217, arXiv.org, revised Mar 2006.
    9. Pascal Seppecher & Isabelle Salle, 2015. "Deleveraging crises and deep recessions: a behavioural approach," Applied Economics, Taylor & Francis Journals, vol. 47(34-35), pages 3771-3790, July.
    10. Alberto Russo, 2009. "On the evolution of the Italian bank branch distribution," Economics Bulletin, AccessEcon, vol. 29(3), pages 2063-2078.
    11. Tommaso Ciarli & André Lorentz & Maria Savona & Marco Valente, 2008. "The Effect of Consumption and Production Structure on Growth and Distribution. A Micro to Macro Model," Papers on Economics and Evolution 2008-13, Philipps University Marburg, Department of Geography.
    12. Geoff Willis, 2011. "Why Money Trickles Up - Wealth & Income Distributions," Papers 1105.2122, arXiv.org, revised May 2011.
    13. Asif, Muhammad & Hussain, Zawar & Asghar, Zahid & Hussain, Muhammad Irfan & Raftab, Mariya & Shah, Said Farooq & Khan, Akbar Ali, 2021. "A statistical evidence of power law distribution in the upper tail of world billionaires’ data 2010–20," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    14. Richmond, Peter & Repetowicz, Przemek & Hutzler, Stefan & Coelho, Ricardo, 2006. "Comments on recent studies of the dynamics and distribution of money," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 43-48.
    15. Nakamoto, Yasuhiro, 2015. "Heterogeneous EIS and Wealth Distribution in a Neoclassical Growth Model," MPRA Paper 67026, University Library of Munich, Germany.
    16. Maia, Adriano & Matsushita, Raul & Da Silva, Sergio, 2020. "Earnings distributions of scalable vs. non-scalable occupations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    17. Cui, Jian & Pan, Qiuhui & Qian, Qian & He, Mingfeng & Sun, Qilin, 2013. "A multi-agent dynamic model based on different kinds of bequests," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(6), pages 1393-1397.
    18. Elvis Oltean, 2016. "Modelling income, wealth, and expenditure data by use of Econophysics," Papers 1603.08383, arXiv.org.
    19. C. García & J. García Pérez & J. Dorp, 2011. "Modeling heavy-tailed, skewed and peaked uncertainty phenomena with bounded support," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(4), pages 463-486, November.
    20. D'Orazio, Paola, 2019. "Income inequality, consumer debt, and prudential regulation: An agent-based approach to study the emergence of crises and financial instability," Economic Modelling, Elsevier, vol. 82(C), pages 308-331.
    21. Viktor Stojkoski & Petar Jolakoski & Arnab Pal & Trifce Sandev & Ljupco Kocarev & Ralf Metzler, 2021. "Income inequality and mobility in geometric Brownian motion with stochastic resetting: theoretical results and empirical evidence of non-ergodicity," Papers 2109.01822, arXiv.org.
    22. Charlotte Bartels & Maria Metzing, 2017. "An Integrated Approach for Top-Corrected Ginis," SOEPpapers on Multidisciplinary Panel Data Research 895, DIW Berlin, The German Socio-Economic Panel (SOEP).
    23. Coelho, Ricardo & Richmond, Peter & Barry, Joseph & Hutzler, Stefan, 2008. "Double power laws in income and wealth distributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(15), pages 3847-3851.
    24. Jess Benhabib & Alberto Bisin, 2016. "Skewed Wealth Distributions: Theory and Empirics," NBER Working Papers 21924, National Bureau of Economic Research, Inc.
    25. Berman, Yonatan & Aste, Tomaso, 2016. "To what extent does immigration affect inequality?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 1029-1039.
    26. Domma, Filippo & Condino, Francesca & Giordano, Sabrina, 2018. "A new formulation of the Dagum distribution in terms of income inequality and poverty measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 104-126.
    27. Elvis Oltean & Fedor Kusmartsev, 2014. "An Econophysical dynamical approach of expenditure and income distribution in the UK," Papers 1410.3851, arXiv.org, revised Mar 2016.
    28. Guo, Qiang & Gao, Li, 2012. "Distribution of individual incomes in China between 1992 and 2009," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(21), pages 5139-5145.
    29. Arnab Chatterjee & Bikas K Chakrabarti, 2005. "Ideal-Gas Like Markets: Effect of Savings," Papers physics/0507136, arXiv.org, revised Jul 2005.
    30. Jess Benhabib & Alberto Bisin & Shenghao Zhu, 2011. "The Distribution of Wealth and Fiscal Policy in Economies With Finitely Lived Agents," Econometrica, Econometric Society, vol. 79(1), pages 123-157, January.
    31. Jess Benhabib & Alberto Bisin, 2006. "The distribution of wealth and redistributive policies," Levine's Working Paper Archive 122247000000001162, David K. Levine.
    32. Brzezinski, Michal, 2014. "Do wealth distributions follow power laws? Evidence from ‘rich lists’," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 406(C), pages 155-162.
    33. Costas Efthimiou & Adam Wearne, 2016. "Household Income Distribution in the USA," Papers 1602.06234, arXiv.org.
    34. J. R. Iglesias & R. M. C. de Almeida, 2011. "Entropy and equilibrium state of free market models," Papers 1108.5725, arXiv.org.
    35. Maia, Adriano & Matsushita, Raul & Demarcus, Antonio & Da Silva, Sergio, 2023. "Scalability in a two-class interoccupational earnings distribution model," SocArXiv 23brg, Center for Open Science.
    36. Benhabib, Jess & Bisin, Alberto & Zhu, Shenghao, 2015. "The wealth distribution in Bewley economies with capital income risk," Journal of Economic Theory, Elsevier, vol. 159(PA), pages 489-515.
    37. Makowsky, Michael D., 2011. "Religion, clubs, and emergent social divides," Journal of Economic Behavior & Organization, Elsevier, vol. 80(1), pages 74-87.
    38. Silvia Leoni, 2022. "An Agent-Based Model for Tertiary Educational Choices in Italy," Research in Higher Education, Springer;Association for Institutional Research, vol. 63(5), pages 797-824, August.
    39. Shenghao Zhu & Alberto Bisin & Jess Benhabib, 2014. "The Wealth Distribution in Bewley Models with Investment Risk," 2014 Meeting Papers 617, Society for Economic Dynamics.
    40. Chakrabarti, Anindya S. & Chakrabarti, Bikas K., 2010. "Statistical theories of income and wealth distribution," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 4, pages 1-31.
    41. Giorgio Fagiolo & Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2010. "On the distributional properties of household consumption expenditures: the case of Italy," Empirical Economics, Springer, vol. 38(3), pages 717-741, June.
    42. William L Gottesman & Andrew James Reagan & Peter Sheridan Dodds, 2014. "Collective Philanthropy: Describing and Modeling the Ecology of Giving," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-12, July.
    43. Emanuele Ciola & Gabriele Tedeschi, 2021. "From interaction to business fluctuations: How credit network explain cycles," Working Papers 2021/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    44. Maria Letizia Bertotti & Giovanni Modanese, 2011. "From microscopic taxation and redistribution models to macroscopic income distributions," Papers 1109.0606, arXiv.org.
    45. Xu, Yan & Wang, Yougui & Tao, Xiaobo & Ližbetinová, Lenka, 2017. "Evidence of Chinese income dynamics and its effects on income scaling law," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 487(C), pages 143-152.
    46. Rota, Mauro & Schettino, Francesco & Spinesi, Luca, 2017. "Key inventors, teams and firm performance: The Italian case," Structural Change and Economic Dynamics, Elsevier, vol. 42(C), pages 13-25.
    47. Michał Brzeziński, 2013. "Robust estimation of the Pareto index: A Monte Carlo Analysis," Working Papers 2013-32, Faculty of Economic Sciences, University of Warsaw.
    48. Tomson Ogwang, 2011. "Power laws in top wealth distributions: evidence from Canada," Empirical Economics, Springer, vol. 41(2), pages 473-486, October.
    49. Guimarães, P. W., 2006. "Variação de renda familiar, desigualdade e pobreza no Brasil no período 2001 a 2005 [Variation of famliy income, inequality and poverty in Brazil in the period 2001 to 2005]," MPRA Paper 5517, University Library of Munich, Germany, revised 2006.
    50. Victor M. Yakovenko & J. Barkley Rosser, 2009. "Colloquium: Statistical mechanics of money, wealth, and income," Papers 0905.1518, arXiv.org, revised Dec 2009.

  66. Domenico Delli Gatti & Mauro Gallegati & Alberto Russo, 2004. "Technological Innovation, Financial Fragility and Complex Dynamics," Discussion Papers 2004/31, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.

    Cited by:

    1. Fanti, Lucrezia, 2018. "An AB-SFC Model of Induced Technical Change along Classical and Keynesian Lines," MPRA Paper 86929, University Library of Munich, Germany.
    2. Lorenzo Corsini & Pier Mario Pacini & Luca Spataro, 2010. "Workers' Choice on Pension Schemes: an Assessment of the Italian TFR Reform Through Theory and Simulations," Discussion Papers 2010/96, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    3. Marco Guerrazzi, 2005. "Notes on Continuous Dynamic Models: the Benhabib-Farmer Condition for Indeterminacy," Discussion Papers 2005/54, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    4. Maurizio Lisciandra, 2007. "The Role of Reciprocating Behaviour in Contract Choice," Discussion Papers 2007/65, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    5. Lucrezia Fanti, 2021. "‘Kaldor Facts’ and the decline of Wage Share: An agent based-stock flow consistent model of induced technical change along Classical and Keynesian lines," Journal of Evolutionary Economics, Springer, vol. 31(2), pages 379-415, April.

  67. Yoshi Fujiwara & Corrado Di Guilmi & Hideaki Aoyama & Mauro Gallegati & Wataru Souma, 2003. "Do Pareto-Zipf and Gibrat laws hold true? An analysis with European Firms," Papers cond-mat/0310061, arXiv.org, revised Nov 2003.

    Cited by:

    1. Xavier Gabaix & Augustin Landier, 2008. "Why has CEO Pay Increased So Much?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(1), pages 49-100.
    2. Masashi Tomoyose & Shouji Fujimoto & Atushi Ishikawa, 2008. "Non-Gibrat's law in the middle scale region," Papers 0809.3060, arXiv.org.
    3. Atushi Ishikawa & Shouji Fujimoto & Takayuki Mizuno, 2019. "Statistical law observed in inactive rate of firms," Evolutionary and Institutional Economics Review, Springer, vol. 16(1), pages 201-212, June.
    4. Gallegati, Mauro & Kirman, Alan, 2019. "20 years of WEHIA: A journey in search of a safer road," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 5-14.
    5. Cirillo, Pasquale & Hüsler, Jürg, 2009. "On the upper tail of Italian firms’ size distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1546-1554.
    6. Robert Kitt & Jaan Kalda, 2005. "Scaling analysis of multivariate intermittent time series," Papers cond-mat/0501325, arXiv.org.
    7. Tamotsu Onozaki, 2018. "Nonlinearity, Bounded Rationality, and Heterogeneity," Springer Books, Springer, number 978-4-431-54971-0, June.
    8. Giuseppe Toscani, 2016. "Kinetic and mean field description of Gibrat's law," Papers 1606.04796, arXiv.org.
    9. Alfaro, Martín, 2020. "Market structures in small open economies: Evidence from Denmark," Research in Economics, Elsevier, vol. 74(4), pages 363-378.
    10. Xavier Gabaix, 2009. "Power Laws in Economics and Finance," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 255-294, May.
    11. Xavier Gabaix, 2009. "The Granular Origins of Aggregate Fluctuations," NBER Working Papers 15286, National Bureau of Economic Research, Inc.
    12. Petra Štamfestová & Lukáš Sobíšek & Jiří Hnilica, 2023. "Firm Size Distribution in the Central European Context," Central European Business Review, Prague University of Economics and Business, vol. 2023(5), pages 151-175.
    13. Yuichi Ikeda & Hideaki Aoyama & Hiroshi Iyetomi & Yoshi Fujiwara & Wataru Souma, 2008. "Correlated performance of firms in a transaction network," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 3(1), pages 73-80, June.
    14. Wright, Ian, 2005. "The social architecture of capitalism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 346(3), pages 589-620.
    15. Montebruno, Piero & Bennett, Robert J. & van Lieshout, Carry & Smith, Harry, 2019. "A tale of two tails: Do Power Law and Lognormal models fit firm-size distributions in the mid-Victorian era?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 858-875.
    16. Ying Fan & Menghui Li & Zengru Di, 2004. "Increasing Returns to Scale, Dynamics of Industrial Structure and Size Distribution of Firms," Papers cond-mat/0407383, arXiv.org.
    17. Ikeda, Yuichi & Souma, Wataru & Aoyama, Hideaki & Iyetomi, Hiroshi & Fujiwara, Yoshi & Kaizoji, Taisei, 2007. "Quantitative agent-based firm dynamics simulation with parameters estimated by financial and transaction data analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 375(2), pages 651-667.
    18. John Pencavel, 2013. "The Changing Size Distribution of U.S. Trade Unions and Its Description by Pareto's Distribution," Discussion Papers 12-011, Stanford Institute for Economic Policy Research.
    19. Salvador Pueyo, 2014. "Ecological Econophysics for Degrowth," Sustainability, MDPI, vol. 6(6), pages 1-53, May.
    20. Mizuno, Takayuki & Ishikawa, Atushi & Fujimoto, Shouji & Watanabe, Tsutomu, 2011. "Power Laws in Firm Productivity," Working Paper Series 11, Center for Interfirm Network, Institute of Economic Research, Hitotsubashi University.
    21. Keiichi Kishi, 2016. "Technology Diffusion, Pareto Distribution, and Patent Policy," Discussion Papers in Economics and Business 16-31, Osaka University, Graduate School of Economics.
    22. Kyungsik Kim & S. -M. Yoon & C. Christopher Lee & K. H. Chang, 2004. "Zipf's Law Distributions for Korean Stock Prices," Papers cond-mat/0405390, arXiv.org.
    23. Hongduo Cao & Ying Li & Yong Tan, 2014. "The synchronization club: classification of global economic groups by inequality," Applied Economics, Taylor & Francis Journals, vol. 46(21), pages 2502-2510, July.
    24. Gatti, Domenico Delli & Guilmi, Corrado Di & Gaffeo, Edoardo & Giulioni, Gianfranco & Gallegati, Mauro & Palestrini, Antonio, 2005. "A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 489-512, April.
    25. Jan Schulz & Daniel M. Mayerhoffer, 2021. "Equal chances, unequal outcomes? Network-based evolutionary learning and the industrial dynamics of superstar firms," Journal of Business Economics, Springer, vol. 91(9), pages 1357-1385, November.
    26. Ishikawa, Atushi & Fujimoto, Shouji & Mizuno, Takayuki, 2011. "Shape of growth-rate distribution determines the type of Non-Gibrat’s Property," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4273-4285.
    27. Ramón Rufín & Cayetano Medina, 2008. "Market delimitation, firm survival and growth in service industries," The Service Industries Journal, Taylor & Francis Journals, vol. 30(9), pages 1401-1417, September.
    28. Stefano Battiston & Joao F. Rodrigues & Hamza Zeytinoglu, 2007. "The Network Of Inter-Regional Direct Investment Stocks Across Europe," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 29-51.
    29. Atushi Ishikawa, 2007. "The uniqueness of company size distribution function from tent-shaped growth rate distribution," Papers physics/0702248, arXiv.org.
    30. Fujiwara, Yoshi & Aoyama, Hideaki & Di Guilmi, Corrado & Souma, Wataru & Gallegati, Mauro, 2004. "Gibrat and Pareto–Zipf revisited with European firms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(1), pages 112-116.
    31. Ishikawa, Atushi, 2005. "Pareto law and Pareto index in the income distribution of Japanese companies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 349(3), pages 597-608.
    32. Vsevolod Andreev, 2017. "Territorial Distribution of the Population in the Russian Federation," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 803-811.
    33. Giulio Bottazzi & Davide Pirino & Federico Tamagni, 2013. "Zipf Law and the Firm Size Distribution: a critical discussion of popular estimators," LEM Papers Series 2013/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    34. Michel Alexandre & Gilberto Tadeu Lima, 2019. "Macroeconomic Impacts of Trade Credit: An Agent-Based Modeling Exploration," Working Papers, Department of Economics 2019_31, University of São Paulo (FEA-USP).
    35. Andrew T. Balthrop, 2021. "Gibrat’s law in the trucking industry," Empirical Economics, Springer, vol. 61(1), pages 339-354, July.
    36. Dahui, Wang & Li, Zhou & Zengru, Di, 2006. "Bipartite producer–consumer networks and the size distribution of firms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(2), pages 359-366.
    37. Sui, Xin & Li, Liang, 2018. "Guarantee network model and risk contagion," Chaos, Solitons & Fractals, Elsevier, vol. 106(C), pages 323-329.
    38. Segarra, Agustí & Teruel, Mercedes, 2012. "An appraisal of firm size distribution: Does sample size matter?," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 314-328.
    39. Toscani, Giuseppe, 2016. "Kinetic and mean field description of Gibrat’s law," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 802-811.
    40. Giulio Bottazzi, 2007. "On the Irreconcilability of Pareto and Gibrat Laws," LEM Papers Series 2007/10, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    41. Anindya S. Chakrabarti, 2013. "Bimodality in the firm size distributions: a kinetic exchange model approach," Papers 1302.3818, arXiv.org, revised May 2013.
    42. Lyócsa, Štefan & Výrost, Tomáš, 2018. "Scale-free distribution of firm-size distribution in emerging economies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 501-505.
    43. Ikeda, Yuichi & Aoyama, Hideaki & Iyetomi, Hiroshi & Fujiwara, Yoshi & Souma, Wataru & Kaizoji, Taisei, 2007. "Response of firm agent network to exogenous shock," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 138-148.
    44. Gatti, Domenico Delli & Di Guilmi, Corrado & Gallegati, Mauro & Giulioni, Gianfranco, 2007. "Financial Fragility, Industrial Dynamics, And Business Fluctuations In An Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 11(S1), pages 62-79, November.
    45. Atushi Ishikawa & Shouji Fujimoto & Takayuki Mizuno, 2021. "Why does production function take the Cobb–Douglas form?," Evolutionary and Institutional Economics Review, Springer, vol. 18(1), pages 79-102, April.
    46. Reginster, Alexandre, 2021. "A stochastic analysis of firm dynamics: Their impact on the firm size distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    47. Atushi Ishikawa & Shouji Fujimoto & Takayuki Mizuno & Tsutomu Watanabe, 2016. "Long-term firm growth properties derived from short-term laws of sales and number of employees in Japan and France," Evolutionary and Institutional Economics Review, Springer, vol. 13(2), pages 409-422, December.
    48. Yanagita, Tatsuo & Onozaki, Tamotsu, 2010. "Dynamics of market structure driven by the degree of consumer’s rationality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(5), pages 1041-1054.
    49. Wright, Ian, 2008. "Implicit Microfoundations for Macroeconomics," Economics Discussion Papers 2008-41, Kiel Institute for the World Economy (IfW Kiel).
    50. Hideaki Aoyama & Yoshi Fujiwara & Yuichi Ikeda & Hiroshi Iyetomi & Wataru Souma, 2010. "Econophysics on Real Economy -The First Decade of the Kyoto Econophysics Group-," Papers 1006.5587, arXiv.org, revised Jul 2010.
    51. Atushi Ishikawa & Shouji Fujimoto & Takayuki Mizuno & Tsutomu Watanabe, 2017. "Dependence of the decay rate of firm activities on firm age," Evolutionary and Institutional Economics Review, Springer, vol. 14(2), pages 351-362, December.
    52. Bai, Chong-En & Mao, Jie & Zhang, Qiong, 2014. "Measuring market concentration in China: the problem with using censored data and its rectification," China Economic Review, Elsevier, vol. 30(C), pages 432-447.
    53. Chen, Shuo & Li, Yiran & Shi, Guang & Zhu, Zhitao, 2021. "Gone with the wind? Emissions of neighboring coal-fired power plants and local public health in China," China Economic Review, Elsevier, vol. 69(C).
    54. Massing, Till & Puente-Ajovín, Miguel & Ramos, Arturo, 2020. "On the parametric description of log-growth rates of cities’ sizes of four European countries and the USA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    55. Wang, Yuanjun & You, Shibing, 2016. "An alternative method for modeling the size distribution of top wealth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 443-453.
    56. Aktaev, Nurken E. & Bannova, K.A., 2022. "Mathematical modeling of probability distribution of money by means of potential formation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 595(C).
    57. Chen Ge & Shu-Guang Zhang & Bin Wang, 2020. "Modeling the joint distribution of firm size and firm age based on grouped data," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-19, July.
    58. Hayafumi Watanabe & Hideki Takayasu & Misako Takayasu, 2011. "Biased diffusion on Japanese inter-firm trading network: Estimation of sales from network structure," Papers 1111.4852, arXiv.org.
    59. Faustino Prieto & José María Sarabia & Enrique Calderín-Ojeda, 2021. "The nonlinear distribution of employment across municipalities," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(2), pages 287-307, April.
    60. Atushi Ishikawa, 2007. "The log-normal distribution from Non-Gibrat's law in the middle scale region of profits," Papers 0705.1056, arXiv.org.
    61. Balmann, Alfons & Valentinov, Vladislav, 2016. "Towards a Theory of Structural Change in Agriculture: Just Economics?," 149th Seminar, October 27-28, 2016, Rennes, France 246420, European Association of Agricultural Economists.
    62. Xavier Gabaix & Parameswaran Gopikrishnan & Vasiliki Plerou & H. Eugene Stanley, 2005. "Institutional Investors and Stock Market Volatility," NBER Working Papers 11722, National Bureau of Economic Research, Inc.
    63. Ishikawa, Atushi, 2008. "Power-Law and Log-Normal Distributions in Firm Size Displacement Data," Economics Discussion Papers 2008-45, Kiel Institute for the World Economy (IfW Kiel).
    64. Gao, Baojun & Chan, Wai Kin (Victor) & Li, Hongyi, 2015. "On the increasing inequality in size distribution of China's listed companies," China Economic Review, Elsevier, vol. 36(C), pages 25-41.
    65. Kiyoyasu Tanaka & Naomi Hatsukano, 2011. "The size distribution of all Cambodian establishments," Economics Bulletin, AccessEcon, vol. 31(3), pages 2128-2137.
    66. Ishikawa, Atushi, 2006. "Annual change of Pareto index dynamically deduced from the law of detailed quasi-balance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 371(2), pages 525-535.
    67. He, Jianmin & Sui, Xin & Li, Shouwei, 2016. "An endogenous model of the credit network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 1-14.
    68. A. Saichev & Y. Malevergne & D. Sornette, 2008. "Theory of Zipf's Law and of General Power Law Distributions with Gibrat's law of Proportional Growth," Papers 0808.1828, arXiv.org.
    69. Coelho, Ricardo & Néda, Zoltán & Ramasco, José J. & Augusta Santos, Maria, 2005. "A family-network model for wealth distribution in societies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 353(C), pages 515-528.
    70. Fujimoto, S. & Ishikawa, A. & Mizuno, T. & Watanabe, T. & 渡辺, 努 & ワタナベ, ツトム, 2011. "A New Method for Measuring Tail Exponents of Firm Size Distributions," Working Paper Series 7, Center for Interfirm Network, Institute of Economic Research, Hitotsubashi University.
    71. Atushi Ishikawa & Takayuki Mizuno & Shouji Fujimoto, 2022. "Employee Number Dependence in Labor Productivity Distribution," The Review of Socionetwork Strategies, Springer, vol. 16(2), pages 465-477, October.
    72. Ma, Qi & Chen, Yongwang & Tong, Hui & Di, Zengru, 2008. "Production, depreciation and the size distribution of firms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(13), pages 3209-3217.
    73. Ishikawa, Atushi, 2009. "Power-Law and Log-Normal Distributions in Temporal Changes of Firm-Size Variables," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-25.
    74. Dion R J O’Neale & Shaun C Hendy, 2012. "Power Law Distributions of Patents as Indicators of Innovation," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-9, December.
    75. Fujimoto, Shouji & Ishikawa, Atushi & Mizuno, Takayuki & Watanabe, Tsutomu, 2011. "A new method for measuring tail exponents of firm size distributions," Economics Discussion Papers 2011-29, Kiel Institute for the World Economy (IfW Kiel).
    76. Ian Wright, 2004. "A conjecture on the distribution of firm profit," Papers cond-mat/0407687, arXiv.org, revised Mar 2011.
    77. Gerrit de Wit, 2005. "Zipf's Law in Economics," Scales Research Reports N200503, EIM Business and Policy Research.
    78. Sui, Xin & Li, Liang & Chen, Xiaohui, 2020. "Risk contagion caused by interactions between credit and guarantee networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    79. Hegyi, Géza & Néda, Zoltán & Augusta Santos, Maria, 2007. "Wealth distribution and Pareto's law in the Hungarian medieval society," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 380(C), pages 271-277.
    80. Andreev, Vsevolod & Lukiyanova, Violetta & Kadyshev, Evgenii, 2017. "Analysis of people territorial distribution in regions of the Volga Federal District on the base of Zipf and Gibrat laws," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 48, pages 97-121.
    81. Ishikawa, Atushi, 2006. "Pareto index induced from the scale of companies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(2), pages 367-376.
    82. Kitt, Robert & Kalda, Jaan, 2005. "Scaling analysis of multi-variate intermittent time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 353(C), pages 480-492.
    83. Tatsuo Yanagita & Tamotsu Onozaki, 2008. "Dynamics of a market with heterogeneous learning agents," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 3(1), pages 107-118, June.
    84. Sarabia, José María & Prieto, Faustino, 2009. "The Pareto-positive stable distribution: A new descriptive model for city size data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(19), pages 4179-4191.
    85. Wang Dahui & Zhou Li & Di Zengru, 2005. "Bipartite Producer-Consumer Networks and the Size Distribution of Firms," Papers physics/0507163, arXiv.org.
    86. Marko Peric & Vanja Vitezic, 2016. "Impact of global economic crisis on firm growth," Small Business Economics, Springer, vol. 46(1), pages 1-12, January.
    87. Watanabe, Hayafumi & Takayasu, Hideki & Takayasu, Misako, 2013. "Relations between allometric scalings and fluctuations in complex systems: The case of Japanese firms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 741-756.
    88. Xu, Yan & Wang, Yougui & Tao, Xiaobo & Ližbetinová, Lenka, 2017. "Evidence of Chinese income dynamics and its effects on income scaling law," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 487(C), pages 143-152.
    89. Shouji Fujimoto & Atushi Ishikawa & Takayuki Mizuno, 2022. "Copula-Based Synthetic Data Generation in Firm-Size Variables," The Review of Socionetwork Strategies, Springer, vol. 16(2), pages 479-492, October.
    90. Kishi, Keiichi, 2019. "Technology diffusion, innovation size, and patent policy," European Economic Review, Elsevier, vol. 118(C), pages 382-410.
    91. Atushi Ishikawa, 2007. "Quasistatically varying log-normal distribution in the middle scale region of Japanese land prices," Papers 0710.1893, arXiv.org.
    92. Atushi Ishikawa & Shouji Fujimoto & Tsutomu Watanabe & Takayuki Mizuno, 2012. "The Emergence of Different Tail Exponents in the Distributions of Firm Size Variables," UTokyo Price Project Working Paper Series 003, University of Tokyo, Graduate School of Economics, revised Dec 2012.
    93. Aoyama, Hideaki & Fujiwara, Yoshi & Souma, Wataru, 2004. "Kinematics and dynamics of Pareto–Zipf's law and Gibrat's law," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(1), pages 117-121.
    94. Yue Xu & Zebin Wang & Yung-Ho Chiu & Fangrong Ren, 2020. "Research on energy-saving and emissions reduction efficiency in Chinese thermal power companies," Energy & Environment, , vol. 31(5), pages 903-919, August.
    95. Qigang Yuan & Yanping Zhao & Hui Shang & Wei Zhang & Zaghum Umar, 2016. "Financing constraints on the size distribution of industrial firms: the Chinese experience," Applied Economics, Taylor & Francis Journals, vol. 48(41), pages 3899-3911, September.
    96. ARATA Yoshiyuki, 2014. "Firm Growth and Laplace Distribution: The importance of large jumps," Discussion papers 14033, Research Institute of Economy, Trade and Industry (RIETI).

  68. Carl Chiarella & Mauro Gallegati & Roberto Leombruni & Antonio Palestrini, 2002. "Asset Price Dynamics among Heterogeneous Interacting Agents," Computing in Economics and Finance 2002 222, Society for Computational Economics.

    Cited by:

    1. Huang, Weihong & Zheng, Huanhuan & Chia, Wai-Mun, 2010. "Financial crises and interacting heterogeneous agents," Journal of Economic Dynamics and Control, Elsevier, vol. 34(6), pages 1105-1122, June.
    2. Jiri Kukacka & Jozef Barunik, 2012. "Behavioural breaks in the heterogeneous agent model: the impact of herding, overconfidence, and market sentiment," Papers 1205.3763, arXiv.org, revised May 2013.
    3. Ehsan Ahmed & J. Barkley Rosser, Jr. & Jamshed Y. Uppal, 2016. "A Raging Bull or a Long-term Speculative Bubble? The Puzzling Case of the Karachi Stock Exchange," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(2), pages 79-93.
    4. Andrew Foster & Natasha Kirby, 2011. "Analysis of a Heterogeneous Trader Model for Asset Price Dynamics," Discrete Dynamics in Nature and Society, Hindawi, vol. 2011, pages 1-12, October.
    5. Huang, Weihong & Chen, Zhenxi, 2020. "Modelling contagion of financial crises," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    6. Philip Z. Maymin, 2010. "Schizophrenic Representative Investors," Papers 1004.4592, arXiv.org.
    7. Roy Cerqueti & Giulia Rotundo, 2015. "A review of aggregation techniques for agent-based models: understanding the presence of long-term memory," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1693-1717, July.
    8. Zhenxi Chen & Weihong Huang & Huanhuan Zheng, 2018. "Estimating heterogeneous agents behavior in a two-market financial system," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(3), pages 491-510, October.
    9. Chang, Sheng-Kai, 2007. "A simple asset pricing model with social interactions and heterogeneous beliefs," Journal of Economic Dynamics and Control, Elsevier, vol. 31(4), pages 1300-1325, April.
    10. Chang Sheng-Kai, 2014. "Herd behavior, bubbles and social interactions in financial markets," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(1), pages 89-101, February.
    11. Weihong HUANG & Wanying Wang, 2012. "Price-Volume Relations in Financial Market," Economic Growth Centre Working Paper Series 1209, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    12. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.
    13. Orlando Gomes, 2008. "Decentralized Allocation of Human Capital and Nonlinear Growth," Computational Economics, Springer;Society for Computational Economics, vol. 31(1), pages 45-75, February.
    14. Thomas Holtfort, 2019. "From standard to evolutionary finance: a literature survey," Management Review Quarterly, Springer, vol. 69(2), pages 207-232, June.
    15. Carl Chiarella & Xue-Zhong He & Weihong Huang & Huanhuan Zheng, 2011. "Estimating Behavioural Heterogeneity Under Regime Switching," Research Paper Series 290, Quantitative Finance Research Centre, University of Technology, Sydney.
    16. V. Alfi & L. Pietronero & A. Zaccaria, 2008. "Minimal Agent Based Model For The Origin And Self-Organization Of Stylized Facts In Financial Markets," Papers 0807.1888, arXiv.org.
    17. Huang, Weihong & Zheng, Huanhuan, 2012. "Financial crises and regime-dependent dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 82(2), pages 445-461.
    18. Chen, Zhenxi, 2014. "Estimating heterogeneous agents behavior with different investment horizons in stock markets," FinMaP-Working Papers 5, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    19. Ducha, F.A. & Atman, A.P.F. & Bosco de Magalhães, A.R., 2021. "Information flux in complex networks: Path to stylized facts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    20. Gallegati, Mauro & Palestrini, Antonio & Rosser, J. Barkley, 2011. "The Period Of Financial Distress In Speculative Markets: Interacting Heterogeneous Agents And Financial Constraints," Macroeconomic Dynamics, Cambridge University Press, vol. 15(1), pages 60-79, February.
    21. Ehsan Ahmed & J. Barkley Rosser Jr. & Jamshed Y. Uppal, 2010. "Emerging Markets and Stock Market Bubbles: Nonlinear Speculation?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 46(4), pages 23-40, January.

  69. Marco GALLEGATI & Mauro GALLEGATI, 2001. "European Business Cycles: 1960-1998," Working Papers 149, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

    Cited by:

    1. Elvio MATTIOLI, 2003. "The measurement of coherence in the evaluation of criteria and its effects or ranking problems illustrated using a multicriteria decision method," Working Papers 199, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    2. Roberto ESPOSTI & Pierpaolo PIERANI, 2005. "Price, Private Demand and Optimal Provision of Public R&D in Italian Agriculture," Working Papers 238, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    3. Renato BALDUCCI, 2005. "Public Expenditure and Economic Growth. A critical extension of Barro's (1990) model," Working Papers 240, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    4. Ugo FRATESI, 2003. "Innovation Diffusion and the Evolution of Regional Disparities," Working Papers 186, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    5. Nicola MATTEUCCI & Alessandro STERLACCHINI, 2003. "ICT and Employment Growth in Italian Industries," Working Papers 193, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    6. Stefania BUSSOLETTI & Roberto ESPOSTI, 2004. "Regional Convergence, Structural Funds and the Role of Agricolture in the EU. A Panel-Data Approach," Working Papers 220, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    7. Marcello MESSORI & Alberto ZAZZARO, 2004. "Monetary profits within the circuit: Ponzi finance oer "mors tua, vita mea"?," Working Papers 200, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

  70. Domenico Delli Gatti, Mauro Gallegati, Gianfranco Giulioni, Antonio Palestrini, -DISCUSSANT: Thomas Brenner, 2000. "Financial Fragility, Patterns Of Firms' Entry And Exit And Aggregate Dynamics," Computing in Economics and Finance 2000 282, Society for Computational Economics.

    Cited by:

    1. Vivek Ghosal & Yang Ye, 2015. "Uncertainty and the employment dynamics of small and large businesses," Small Business Economics, Springer, vol. 44(3), pages 529-558, March.
    2. Serena Sordi & Alessandro Vercelli, 2003. "Financial Fragility and Economic Fluctuations: Numerical Simulations and Policy Implications," Department of Economics University of Siena 407, Department of Economics, University of Siena.
    3. Sean Holly & Emiliano Santoro, 2007. "Financial Fragility, Heterogeneous Firms and the Cross Section of the Business Cycle," Money Macro and Finance (MMF) Research Group Conference 2006 96, Money Macro and Finance Research Group.
    4. Giorgio Fagiolo & Paul Windrum & Alessio Moneta, 2006. "Empirical Validation of Agent Based Models: A Critical Survey," LEM Papers Series 2006/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Marco Raberto & Silvano Cincotti, 2004. "Multi-agent modeling and simulation of a sequential monetary production economy," Computing in Economics and Finance 2004 260, Society for Computational Economics.
    6. Nikolaidi, Maria & Stockhammer, Engelbert, 2017. "Minsky models: a structured survey," Greenwich Papers in Political Economy 17739, University of Greenwich, Greenwich Political Economy Research Centre.
    7. Gatti, Domenico Delli & Guilmi, Corrado Di & Gaffeo, Edoardo & Giulioni, Gianfranco & Gallegati, Mauro & Palestrini, Antonio, 2005. "A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 489-512, April.
    8. Sordi, Serena & Vercelli, Alessandro, 2006. "Financial fragility and economic fluctuations," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 543-561, December.
    9. Matteo Richiardi, 2003. "On the Use of Agent-Based Simulations," LABORatorio R. Revelli Working Papers Series 32, LABORatorio R. Revelli, Centre for Employment Studies.
    10. Bhattacharjee, A. & Higson, C. & Holly, S. & Kattuman, P., 2004. "Business Failure in UK and US Quoted Firms: Impact of Macroeconomic Instability and the Role of Legal Institutions," Cambridge Working Papers in Economics 0420, Faculty of Economics, University of Cambridge.
    11. Ghosal, Vivek & Ye, Yang, 2019. "The impact of uncertainty on the number of businesses," Journal of Economics and Business, Elsevier, vol. 105(C).
    12. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    13. Thomas Lux, 2009. "Applications of Statistical Physics in Finance and Economics," Chapters, in: J. Barkley Rosser Jr. (ed.), Handbook of Research on Complexity, chapter 9, Edward Elgar Publishing.
    14. Bianchi, Carlo & Cirillo, Pasquale & Gallegati, Mauro & Vagliasindi, Pietro A., 2008. "Validation in agent-based models: An investigation on the CATS model," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 947-964, September.
    15. Gatti, Domenico Delli & Di Guilmi, Corrado & Gallegati, Mauro & Giulioni, Gianfranco, 2007. "Financial Fragility, Industrial Dynamics, And Business Fluctuations In An Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 11(S1), pages 62-79, November.
    16. Pasquale Cirillo & Carlo Bianchi & Mauro Gallegati & Pietro Vagliasindi, 2006. "Validating and Calibrating Agent-based Models: a Case Study," Computing in Economics and Finance 2006 277, Society for Computational Economics.
    17. Nishimura, Kiyohiko G. & Nakajima, Takanobu & Kiyota, Kozo, 2005. "Does the natural selection mechanism still work in severe recessions?: Examination of the Japanese economy in the 1990s," Journal of Economic Behavior & Organization, Elsevier, vol. 58(1), pages 53-78, September.
    18. Ghosal, Vivek, 2007. "Small is Beautiful but Size Matters: The Asymmetric Impact of Uncertainty and Sunk Costs on Small and Large Businesses," MPRA Paper 5461, University Library of Munich, Germany.
    19. Özge Dilaver & Robert Jump & Paul Levine, 2016. "Agent-based Macroeconomics and Dynamic Stochastic General Equilibrium Models: Where do we go from here?," School of Economics Discussion Papers 0116, School of Economics, University of Surrey.
    20. Vivek Ghosal & Yang Ye, 2013. "Business Decision-Making under Uncertainty: Evidence from Employment and Number of Businesses," CESifo Working Paper Series 4312, CESifo.
    21. Antonio Doria, Francisco, 2011. "J.B. Rosser Jr. , Handbook of Research on Complexity, Edward Elgar, Cheltenham, UK--Northampton, MA, USA (2009) 436 + viii pp., index, ISBN 978 1 84542 089 5 (cased)," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 196-204, April.
    22. Assenza, T. & Delli Gatti, D. & Gallegati, M., 2007. "Heterogeneity and Aggregation in a Financial Accelerator Model," CeNDEF Working Papers 07-13, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    23. Annalisa Fabretti, 2013. "On the problem of calibrating an agent based model for financial markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 277-293, October.
    24. Paul Windrum & Giorgio Fagiolo & Alessio Moneta, 2007. "Empirical Validation of Agent-Based Models: Alternatives and Prospects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-8.
    25. Seip, Knut Lehre & McNown, Robert, 2007. "The timing and accuracy of leading and lagging business cycle indicators: A new approach," International Journal of Forecasting, Elsevier, vol. 23(2), pages 277-287.
    26. Gatti, Domenico Delli & Gallegati, Marco & Gallegati, Mauro, 2005. "On the nature and causes of business fluctuations in Italy, 1861-2000," Explorations in Economic History, Elsevier, vol. 42(1), pages 81-100, January.
    27. Rémi Stellian & Jenny P. Danna‐Buitrago, 2020. "Financial distress, free cash flow, and interfirm payment network: Evidence from an agent‐based model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 598-616, October.
    28. Sander Hoog, 2018. "The Limits to Credit Growth: Mitigation Policies and Macroprudential Regulations to Foster Macrofinancial Stability and Sustainable Debt," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 873-920, October.
    29. Giorgio Fagiolo & Alessio Moneta & Paul Windrum, 2007. "A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 195-226, October.
    30. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.

  71. Domenico Mignacca & Mauro Gallegati, 1994. "Is US Real GNP Chaotic? On Using the BDS test to Decide Whether an ARMA Model forthe US GNP Genreates I.I.D. Residuals," International Finance 9410002, University Library of Munich, Germany, revised 09 Nov 1994.

    Cited by:

    1. Mauro Gallegati & Domenico Mignacca, 1995. "Nonlinearities in business cycle: SETAR models and G7 industrial production data," Applied Economics Letters, Taylor & Francis Journals, vol. 2(11), pages 422-427.

  72. Mignacca, D. & Gallegati, M., 1994. "Is US Real GNP Chaotic? On Using the BDS Test to Decide Whether an ARMA Model for US GNP Generates I.I.D. Residuals," Working papers 9421, Wisconsin Madison - Social Systems.

    Cited by:

    1. Mauro Gallegati & Domenico Mignacca, 1995. "Nonlinearities in business cycle: SETAR models and G7 industrial production data," Applied Economics Letters, Taylor & Francis Journals, vol. 2(11), pages 422-427.

  73. Domenico Delli Gatti & Mauro Gallegati & Hyman P. Minsky, 1994. "Financial Institutions, Economic Policy, and the Dynamic Behavior of the Economy," Economics Working Paper Archive wp_126, Levy Economics Institute.

    Cited by:

    1. Mirakhor, Abbas & Krichene, Noureddine, 2009. "The Recent Crisis: Lessons for Islamic Finance," MPRA Paper 56022, University Library of Munich, Germany.
    2. Corrado Di Guilmi, 2017. "The Agent†Based Approach To Post Keynesian Macro†Modeling," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1183-1203, December.
    3. Dimitri B. Papadimitriou & L. Randall Wray, 1999. "Minsky's Analysis of Financial Capitalism," Economics Working Paper Archive wp_275, Levy Economics Institute.
    4. Christine Sinapi, 2011. "Institutional Prerequisites of Financial Fragility within Minsky's Financial Instability Hypothesis: A Proposal in Terms of 'Institutional Fragility'," Economics Working Paper Archive wp_674, Levy Economics Institute.
    5. Carl Chiarella & Corrado Di Guilmi, 2010. "The Financial Instability Hypothesis: A Stochastic Microfoundation Framework," Research Paper Series 273, Quantitative Finance Research Centre, University of Technology, Sydney.
    6. Dimitri Papadimitriou & L. Randall Wray, 1998. "The Economic Contributions of Hyman Minsky: varieties of capitalism and institutional reform," Review of Political Economy, Taylor & Francis Journals, vol. 10(2), pages 199-225.
    7. José Luis Hernández Mota, 2015. "El papel del desarrollo financiero como fuente del crecimiento económico," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 7(2), pages 235-256, July.
    8. Saoussen Ben Gamra & Dominique Plihon, 2007. "Qualité Des Institutions, Libéralisation Et Crises Bancaires Le Cas Des Pays Émergents," Working Papers hal-00574136, HAL.
    9. Thomas I. Palley, 2009. "A Theory of Minsky Super-Cycles and Financial Crises," IMK Working Paper 05-2009, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    10. Claudio H. dos Santos, 2004. "Keynesian Theorizing During Hard Times: Stock-Flow Consistent Models as an Unexplored "Frontier" of Keynesian Macroeconomics," Economics Working Paper Archive wp_408, Levy Economics Institute.
    11. Eugenio Caverzasi, 2012. "From the Financial Instability Hypothesis to the theory of Capital Market Inflation: a structural interpretation of the sub-prime crisis," DEM Working Papers Series 018, University of Pavia, Department of Economics and Management.
    12. K. Vela Velupillai, 2010. "The 'Minsky Moment' - A Critique and a Re-construction," ASSRU Discussion Papers 1009, ASSRU - Algorithmic Social Science Research Unit.
    13. Claudio H. dos Santos & Gennaro Zezza, 2004. "A Post-Keynesian Stock-Flow Consistent Macroeconomic Growth Model: Preliminary Results," Economics Working Paper Archive wp_402, Levy Economics Institute.
    14. Nishimura, Kiyohiko G. & Nakajima, Takanobu & Kiyota, Kozo, 2005. "Does the natural selection mechanism still work in severe recessions?: Examination of the Japanese economy in the 1990s," Journal of Economic Behavior & Organization, Elsevier, vol. 58(1), pages 53-78, September.
    15. Eugenio Caverzasi, 2014. "Minsky and the Subprime Mortgage Crisis: The Financial Instability Hypothesis in the Era of Financialization," Economics Working Paper Archive wp_796, Levy Economics Institute.
    16. Samba Diop, 2016. "Minsky’s Analysis of Capitalist Development," Review of Radical Political Economics, Union for Radical Political Economics, vol. 48(2), pages 201-216, May.
    17. Saoussen Ben Gamra & Dominique Plihon, 2007. "Qualité Des Institutions, Libéralisation Et Crises Bancaires Le Cas Des Pays Émergents," CEPN Working Papers hal-00574136, HAL.
    18. Claudio H. Dos Santos, 2004. "A Stock-Flow Consistent General Framework for Minskyan Analysis of Closed Economics," Macroeconomics 0402028, University Library of Munich, Germany.
    19. Claudio dos Santos, 2004. "A Stock-Flow Consistent General Framework for Formal Minskyan Analyses of Closed Economies," Economics Working Paper Archive wp_403, Levy Economics Institute.
    20. Charles J. Whalen, 1999. "Hyman Minsky's Theory of Capitalist Development," Economics Working Paper Archive wp_277, Levy Economics Institute.
    21. Claudio Dos Santos, 2004. "Keynesian Theorizing During Hard Times: SStock-Flow Consistent Models as an Unexplored 'Frontier' of Keynesian Macroeconomics'," Macroeconomics 0405023, University Library of Munich, Germany.
    22. Fazzari, Steven & Ferri, Piero & Greenberg, Edward, 2008. "Cash flow, investment, and Keynes-Minsky cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 65(3-4), pages 555-572, March.
    23. Giorgos Argitis, 2013. "Veblenian and Minskian financial markets," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 10(1), pages 28-43.
    24. Papadimitriu, Dimitri (Пападимитриу, Димитри) & Wray, Randall (Рэй, Рэндалл), 2016. "Hyman Minsky's "Stabilizing an unstable economy" - twenty years later [«Стабилизируя Нестабильную Экономику» Хаймана Мински — Двадцать Лет Спустя]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 2, pages 22-51, April.
    25. Claudio Dos Santos & Gennaro Zezza, 2004. "A Post-Keynesian Stock-Flow Consistent Macroeconomic Growth," Macroeconomics 0402027, University Library of Munich, Germany.
    26. Claudio H. Dos Santos, 2004. "Keynesian Theorizing During Hard Times: Stock-Flow Consistent Models as an Unexplored 'Frontier' of Keynesian Macroeconomics," Method and Hist of Econ Thought 0406001, University Library of Munich, Germany.

  74. Stefano Battiston & Domenico Delli Gatti & Mauro Gallegati & Bruce Greenwald & Joseph E. Stiglitz, "undated". "Default Cascades: When Does Risk Diversification Increase Stability?," Working Papers ETH-RC-11-006, ETH Zurich, Chair of Systems Design.

    Cited by:

    1. Fariba Karimi & Matthias Raddant, 2016. "Cascades in Real Interbank Markets," Computational Economics, Springer;Society for Computational Economics, vol. 47(1), pages 49-66, January.
    2. León, Carlos & Machado, Clara & Sarmiento, Miguel, 2018. "Identifying central bank liquidity super-spreaders in interbank funds networks," Journal of Financial Stability, Elsevier, vol. 35(C), pages 75-92.
    3. Calimani, Susanna & Hałaj, Grzegorz & Żochowski, Dawid, 2022. "Simulating fire sales in a system of banks and asset managers," Journal of Banking & Finance, Elsevier, vol. 138(C).
    4. Josselin Garnier & George Papanicolaou & Tzu-Wei Yang, 2012. "Large deviations for a mean field model of systemic risk," Papers 1204.3536, arXiv.org, revised Aug 2012.
    5. Rogelio V. Mercado Jr. & Shanty Noviantie, 2019. "Financial Flows Centrality: Empirical Evidence using Bilateral Capital Flows," Working Papers wp38, South East Asian Central Banks (SEACEN) Research and Training Centre.
    6. León, C. & Berndsen, R.J. & Renneboog, L.D.R., 2014. "Financial Stability and Interacting Networks of Financial Institutions and Market Infrastructures," Other publications TiSEM ec673981-aa01-48f9-9553-d, Tilburg University, School of Economics and Management.
    7. Tomas Klinger & Petr Teply, 2016. "The Nexus Between Systemic Risk and Sovereign Crises," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(1), pages 50-69, February.
    8. Jose Fique, 2016. "A Microfounded Design of Interconnectedness-Based Macroprudential Policy," Staff Working Papers 16-6, Bank of Canada.
    9. Grzegorz Hałaj & Christoffer Kok, 2013. "Assessing interbank contagion using simulated networks," Computational Management Science, Springer, vol. 10(2), pages 157-186, June.
    10. Chen, Pei-Fen & Zeng, Jhih-Hong, 2014. "Asymmetric effects of households’ financial participation on banking diversification," Journal of Financial Stability, Elsevier, vol. 13(C), pages 18-29.
    11. Spiros Bougheas & Adam Hal Spencer, 2022. "Fire Sales and Ex Ante Valuation of Systemic Risk: A Financial Equilibrium Networks Approach," CESifo Working Paper Series 10111, CESifo.
    12. Carlos León & Constanza Martínez-Ventura & Freddy Cepeda-López, 2019. "Short-Term Liquidity Contagion in the Interbank Market," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 38(76), pages 51-80, January.
    13. Anton Pichler & Sebastian Poledna & Stefan Thurner, 2018. "Systemic-risk-efficient asset allocation: Minimization of systemic risk as a network optimization problem," Papers 1801.10515, arXiv.org, revised Mar 2018.
    14. Aduba, Joseph Jr. & Harimaya, Kozo, 2023. "Impact of international expansion strategy on the performance of Japanese banks," Japan and the World Economy, Elsevier, vol. 65(C).
    15. Chinazzi, Matteo & Fagiolo, Giorgio & Reyes, Javier A. & Schiavo, Stefano, 2013. "Post-mortem examination of the international financial network," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1692-1713.
    16. Li, Xi Hao, 2013. "Standardization for Agent-based Modeling in Economics," MPRA Paper 47396, University Library of Munich, Germany.
    17. Fernando Alvarez & Gadi Barlevy, 2015. "Mandatory Disclosure and Financial Contagion," NBER Working Papers 21328, National Bureau of Economic Research, Inc.
    18. Paulo Garrido & Pedro Campos & André Dias, 2015. "Balance Sheet Analysis Of Credit And Debt Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 18(05n06), pages 1-18, August.
    19. Jose Fique, 2015. "A Microfounded Design of Interconnectedness-Based Macroprudential Regulation," CAEPR Working Papers 2015-008, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    20. von der Becke Susanne & Sornette Didier, 2019. "An Asset-Based Framework of Credit Creation (applied to the Global Financial Crisis)," Accounting, Economics, and Law: A Convivium, De Gruyter, vol. 9(2), pages 1-21, July.
    21. Peter Grundke, 2019. "Ranking consistency of systemic risk measures: a simulation-based analysis in a banking network model," Review of Quantitative Finance and Accounting, Springer, vol. 52(4), pages 953-990, May.
    22. Barroso, João Barata Ribeiro Blanco & Silva, Thiago Christiano & Souza, Sergio Rubens Stancato de, 2018. "Identifying systemic risk drivers in financial networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 650-674.
    23. Battiston Stefano & Caldarelli Guido & D’Errico Marco & Gurciullo Stefano, 2016. "Leveraging the network: A stress-test framework based on DebtRank," Statistics & Risk Modeling, De Gruyter, vol. 33(3-4), pages 117-138, December.
    24. Laurentiu Dumitru ANDREI & Petre BREZEANU & Sorin-Marius DINU & Tiberiu DIACONESCU & Constantin ANGHELACHE, 2019. "Correlations and Turbulence of the European Markets," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 88-100, March.
    25. Brancaccio, Emiliano & Giammetti, Raffaele & Lopreite, Milena & Puliga, Michelangelo, 2019. "Monetary policy, crisis and capital centralization in corporate ownership and control networks: A B-Var analysis," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 55-66.
    26. Gabriele Tedeschi & Amin Mazloumian & Mauro Gallegati & Dirk Helbing, 2012. "Bankruptcy Cascades in Interbank Markets," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-10, December.
    27. Olivier Accominotti & Delio Lucena-Piquero & Stefano Ugolini, 2023. "Intermediaries’ Substitutability and Financial Network Resilience: A Hyperstructure Approach," Post-Print hal-04160805, HAL.
    28. Brini, Alessio & Tedeschi, Gabriele & Tantari, Daniele, 2023. "Reinforcement learning policy recommendation for interbank network stability," Journal of Financial Stability, Elsevier, vol. 67(C).
    29. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    30. Deborah Noguera & Gabriel Montes-Rojas, 2023. "Minskyan model with credit rationing in a network economy," SN Business & Economics, Springer, vol. 3(3), pages 1-26, March.
    31. Edoardo Gaffeo & Massimo Molinari, 2016. "A functional perspective to financial networks," DEM Working Papers 2016/06, Department of Economics and Management.
    32. Henry, Jérôme & Zimmermann, Maik & Leber, Miha & Kolb, Markus & Grodzicki, Maciej & Amzallag, Adrien & Vouldis, Angelos & Hałaj, Grzegorz & Pancaro, Cosimo & Gross, Marco & Baudino, Patrizia & Sydow, , 2013. "A macro stress testing framework for assessing systemic risks in the banking sector," Occasional Paper Series 152, European Central Bank.
    33. João Barata Ribeiro Blanco Barroso & Thiago Christiano Silva & Sergio Rubens Stancato de Souza, 2016. "Decomposition of Systemic Risk Drivers in Evolving Financial Networks," Working Papers Series 448, Central Bank of Brazil, Research Department.
    34. Co-Pierre Georg & Stefano Battiston & Tarik Roukny, 2014. "A Network Analysis of the Evolution of the German Interbank Market," Working Papers 461, Economic Research Southern Africa.
    35. Cimini, Riccardo, 2015. "Eurozone network “Connectedness” after fiscal year 2008," Finance Research Letters, Elsevier, vol. 14(C), pages 160-166.
    36. Joseph E. Stiglitz, 2013. "Stable Growth in an Era of Crises; Learning from Economic Theory and History," Ekonomi-tek - International Economics Journal, Turkish Economic Association, vol. 2(1), pages 1-39, January.
    37. Xie, Yiwei & Jiao, Feng & Li, Shihan & Liu, Qingfu & Tse, Yiuman, 2022. "Systemic risk in financial institutions: A multiplex network approach," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    38. Tonzer, Lena, 2015. "Cross-border interbank networks, banking risk and contagion," Journal of Financial Stability, Elsevier, vol. 18(C), pages 19-32.
    39. Oet, Mikhail V. & Ong, Stephen J., 2019. "From organization to activity in the US collateralized interbank market," Research in International Business and Finance, Elsevier, vol. 50(C), pages 472-485.
    40. Rebekka Burkholz & Matt V. Leduc & Antonios Garas & Frank Schweitzer, 2015. "Systemic risk in multiplex networks with asymmetric coupling and threshold feedback," Papers 1506.06664, arXiv.org.
    41. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2019. "Winter is possibly not coming: mitigating financial instability in an agent-based model with interbank market," SciencePo Working papers Main hal-03403274, HAL.
    42. Joseph E. Stiglitz, 2016. "The state, the market, and development," WIDER Working Paper Series wp-2016-1, World Institute for Development Economic Research (UNU-WIDER).
    43. Joseph E. Stiglitz, 2017. "Where Modern Macroeconomics Went Wrong," NBER Working Papers 23795, National Bureau of Economic Research, Inc.
    44. Sergio R. S. Souza & Benjamin M. Tabak & Solange M. Guerra, 2013. "Insolvency and Contagion in the Brazilian Interbank Market," Working Papers Series 320, Central Bank of Brazil, Research Department.
    45. Fischer, Thomas & Riedler, Jesper, 2014. "Prices, Debt and Market Structure in an Agent-Based Model of the Financial Market," FinMaP-Working Papers 21, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    46. Isaac M. Sonin & Konstantin Sonin, 2020. "A Continuous-Time Model of Financial Clearing," Working Papers 2020-101, Becker Friedman Institute for Research In Economics.
    47. Paolo Tasca & Pavlin Mavrodiev & Frank Schweitzer, "undated". "Quantifying the Impact of Leveraging and Diversification on Systemic Risk," Working Papers ETH-RC-13-003, ETH Zurich, Chair of Systems Design.
    48. León, C. & Cely, Jorge & Cadena, Carlos, 2015. "Identifying Interbank Loans, Rates, and Claims Networks from Transactional Data," Discussion Paper 2015-029, Tilburg University, Center for Economic Research.
    49. Matteo Smerlak & Brady Stoll & Agam Gupta & James S Magdanz, 2015. "Mapping Systemic Risk: Critical Degree and Failures Distribution in Financial Networks," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-15, July.
    50. Capponi, Agostino & Corell, Felix & Stiglitz, Joseph E., 2022. "Optimal bailouts and the doom loop with a financial network," Journal of Monetary Economics, Elsevier, vol. 128(C), pages 35-50.
    51. Carlos León & Javier Miguélez, 2021. "Securities cross-holding in the Colombian financial system: a topological approach," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 38(4), pages 786-806, February.
    52. Tomáš Klinger & Petr Teplý, 2014. "Systemic Risk of the Global Banking System - An Agent-Based Network Model Approach," Prague Economic Papers, Prague University of Economics and Business, vol. 2014(1), pages 24-41.
    53. Bongini, Paola & Clemente, Gian Paolo & Grassi, Rosanna, 2018. "Interconnectedness, G-SIBs and network dynamics of global banking," Finance Research Letters, Elsevier, vol. 27(C), pages 185-192.
    54. Edoardo Gaffeo & Massimo Molinari, 2014. "Macroprudential Consolidation Policy in Interbank Networks," DEM Discussion Papers 2014/01, Department of Economics and Management.
    55. Yaya Su & Zhehao Huang & Benjamin M. Drakeford, 2019. "Monetary Policy, Industry Heterogeneity and Systemic Risk—Based on a High Dimensional Network Analysis," Sustainability, MDPI, vol. 11(22), pages 1-15, November.
    56. Nicolas Houy & Frédéric Jouneau, 2016. "Defaulting firms and systemic risks in financial networks," Working Papers 1606, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    57. Carlos León & Miguel Sarmiento, 2016. "Liquidity and Counterparty Risks Tradeoff in Money Market Networks," Borradores de Economia 936, Banco de la Republica de Colombia.
    58. Roy Havemann, 2018. "Can creditor bail-in trigger contagion? The experience of an emerging market," Working Papers 755, Economic Research Southern Africa.
    59. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    60. Paolo Bartesaghi & Michele Benzi & Gian Paolo Clemente & Rosanna Grassi & Ernesto Estrada, 2019. "Risk-dependent centrality in economic and financial networks," Papers 1907.07908, arXiv.org, revised Apr 2020.
    61. Opeoluwa Banwo & Paul Harrald & Francesca Medda, 2019. "Understanding the consequences of diversification on financial stability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(2), pages 273-292, June.
    62. Buddi Wibowo, 2017. "Systemic risk, bank’s capital buffer, and leverage," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 9(2), pages 150-158, April.
    63. Aymeric Vié & Alfredo J. Morales, 2021. "How Connected is Too Connected? Impact of Network Topology on Systemic Risk and Collapse of Complex Economic Systems," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1327-1351, April.
    64. Ilker Arslan & Eugenio Caverzasi & Mauro Gallegati & Alper Duman, 2016. "Long Term Impacts of Bank Behavior on Financial Stability. an Agent Based Modeling Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(1), pages 1-11.
    65. Pereira, Hernane Borges de Barros & Rosário, Raphael Silva do & Pereira, Eder Johnson de Area Leão & Moreira, Davidson Martins & Ferreira, Paulo & Miranda, José Garcia Vivas, 2022. "Network dynamic and stability on European Union," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 587(C).
    66. Alessandro Ferracci & Giulio Cimini, 2021. "Systemic risk in interbank networks: disentangling balance sheets and network effects," Papers 2109.14360, arXiv.org, revised Sep 2022.
    67. Sudarshan Kumar & Tiziana Di Matteo & Anindya S. Chakrabarti, 2020. "Disentangling shock diffusion on complex networks: Identification through graph planarity," Papers 2001.01518, arXiv.org.
    68. Li, Ping & Guo, Yanhong & Meng, Hui, 2022. "The default contagion of contingent convertible bonds in financial network," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    69. Vandermarliere, Benjamin & Karas, Alexei & Ryckebusch, Jan & Schoors, Koen, 2015. "Beyond the power law: Uncovering stylized facts in interbank networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 443-457.
    70. Edoardo Gaffeo & Lucio Gobbi & Massimo Molinari, 2019. "Liquidity contagion with a “first-in/first-out†seniority of claims," Economics Bulletin, AccessEcon, vol. 39(4), pages 2572-2579.
    71. V. Sasidevan & Nils Bertschinger, 2019. "Systemic Risk: Fire-Walling Financial Systems Using Network-Based Approaches," Papers 1912.05273, arXiv.org.
    72. H Peyton Young & Paul Glasserman, 2013. "How Likely is Contagion in Financial Networks?," Economics Series Working Papers 642, University of Oxford, Department of Economics.
    73. Berardi, Simone & Tedeschi, Gabriele, 2015. "From banks' strategies to financial (in)stability," FinMaP-Working Papers 47, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    74. Souza, Sergio Rubens Stancato de, 2016. "Capital requirements, liquidity and financial stability: The case of Brazil," Journal of Financial Stability, Elsevier, vol. 25(C), pages 179-192.
    75. Ohsung Kwon & Sung-guan Yun & Seung Hun Han & Yang Hon Chung & Duk Hee Lee, 2018. "Network Topology and Systemically Important Firms in the Interfirm Credit Network," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 847-864, April.
    76. Giulio Bottazzi & Alessandro De Sanctis & Fabio Vanni, 2016. "Non-performing loans, systemic risk and resilience in financial networks," LEM Papers Series 2016/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    77. León, C. & Cely, Jorge & Cadena, Carlos, 2015. "Identifying Interbank Loans, Rates, and Claims Networks from Transactional Data," Other publications TiSEM ccd49709-e1d5-4da9-bf85-8, Tilburg University, School of Economics and Management.
    78. Covi, Giovanni & Gorpe, Mehmet Ziya & Kok, Christoffer, 2019. "CoMap: mapping contagion in the euro area banking sector," Working Paper Series 2224, European Central Bank.
    79. Charles D Brummitt & Rajiv Sethi & Duncan J Watts, 2014. "Inside Money, Procyclical Leverage, and Banking Catastrophes," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-12, August.
    80. Martin Guzman & Joseph E Stiglitz, 2020. "Towards a dynamic disequilibrium theory with randomness," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(3), pages 621-674.
    81. Vuillemey, G. & Breton, R., 2014. "Endogenous Derivative Networks," Working papers 483, Banque de France.
    82. E. Gaffeo & M. Molinari, 2015. "Interbank contagion and resolution procedures: inspecting the mechanism," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 637-652, April.
    83. Merwan Engineer & Paul Schure & Mark Gillis, 2012. "A Positive Analysis of Deposit Insurance Provision: Regulatory Competition Among European Union Countries," Working Paper series 29_12, Rimini Centre for Economic Analysis.
    84. Rahul Kaushik & Stefano Battiston, 2012. "Credit Default Swaps Drawup Networks: Too Tied To Be Stable?," Papers 1205.0976, arXiv.org.
    85. Lou, Weifang & Yin, Xiangkang, 2014. "The impact of the global financial crisis on mortgage pricing and credit supply," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 336-363.
    86. Christian Diem & Anton Pichler & Stefan Thurner, 2019. "What is the Minimal Systemic Risk in Financial Exposure Networks?," Papers 1905.05931, arXiv.org.
    87. Demir, Müge & Önder, Zeynep, 2019. "Financial connectivity and excessive liquidity: Benefit or risk?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 203-221.
    88. Minoiu, Camelia & Reyes, Javier A., 2013. "A network analysis of global banking: 1978–2010," Journal of Financial Stability, Elsevier, vol. 9(2), pages 168-184.
    89. Langfield, Sam & Liu, Zijun & Ota, Tomohiro, 2014. "Mapping the UK interbank system," Bank of England working papers 516, Bank of England.
    90. Jan Kolesnik, 2021. "The Contagion Effect and its Mitigation in the Modern Banking System," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 1009-1024.
    91. Martínez, Constanza & León, Carlos, 2016. "The cost of collateralized borrowing in the Colombian money market: Does connectedness matter?," Journal of Financial Stability, Elsevier, vol. 25(C), pages 193-205.
    92. Calimani, Susanna & Hałaj, Grzegorz & Żochowski, Dawid, 2017. "Simulating fire-sales in a banking and shadow banking system," ESRB Working Paper Series 46, European Systemic Risk Board.
    93. Gabriele Tedeschi & Fabio Caccioli & Maria Cristina Recchioni, 2020. "Taming financial systemic risk: models, instruments and early warning indicators," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 1-7, January.
    94. Hüser, Anne-Caroline, 2016. "Too interconnected to fail: A survey of the Interbank Networks literature," SAFE Working Paper Series 91, Leibniz Institute for Financial Research SAFE, revised 2016.
    95. Vinko Zlati'c & Giampaolo Gabbi & Hrvoje Abraham, 2014. "Reduction of systemic risk by means of Pigouvian taxation," Papers 1406.5817, arXiv.org.
    96. Akay, Ozgur (Ozzy) & Senyuz, Zeynep & Yoldas, Emre, 2013. "Hedge fund contagion and risk-adjusted returns: A Markov-switching dynamic factor approach," Journal of Empirical Finance, Elsevier, vol. 22(C), pages 16-29.
    97. carlos León & Ron J. Berndsen, 2013. "Modular scale-free architecture of Colombian financial networks: Evidence and challenges with financial stability in view," Borradores de Economia 799, Banco de la Republica de Colombia.
    98. Paolo Tasca & Stefano Battiston, "undated". "Market Procyclicality and Systemic Risk," Working Papers ETH-RC-12-012, ETH Zurich, Chair of Systems Design.
    99. Rahul Kaushik & Stefano Battiston, 2013. "Credit Default Swaps Drawup Networks: Too Interconnected to Be Stable?," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-8, July.
    100. Umut Akovali, 2020. "Beyond Connectedness: A Covariance Decomposition based Network Risk Model," Koç University-TUSIAD Economic Research Forum Working Papers 2003, Koc University-TUSIAD Economic Research Forum.
    101. Opeoluwa Banwo & Fabio Caccioli & Paul Harrald & Francesca Medda, 2016. "The Effect Of Heterogeneity On Financial Contagion Due To Overlapping Portfolios," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(08), pages 1-20, December.
    102. Kyu-Min Lee & Kwang-Il Goh, 2016. "Strength of weak layers in cascading failures on multiplex networks: case of the international trade network," Papers 1603.05181, arXiv.org, revised May 2016.
    103. Gulamhussen, M.A. & Pinheiro, Carlos & Pozzolo, Alberto Franco, 2014. "International diversification and risk of multinational banks: Evidence from the pre-crisis period," Journal of Financial Stability, Elsevier, vol. 13(C), pages 30-43.
    104. Gabriele Visentin & Stefano Battiston & Marco D'Errico, 2016. "Rethinking Financial Contagion," Papers 1608.07831, arXiv.org.
    105. López, Tania & Winkler, Adalbert, 2019. "Does financial inclusion mitigate credit boom-bust cycles?," Journal of Financial Stability, Elsevier, vol. 43(C), pages 116-129.
    106. Matteo Chinazzi & Stefano Pegoraro & Giorgio Fagiolo, 2015. "Defuse the Bomb: Rewiring Interbank Networks," LEM Papers Series 2015/16, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    107. Joseph E. Stiglitz, 2015. "Towards a General Theory of Deep Downturns," NBER Working Papers 21444, National Bureau of Economic Research, Inc.
    108. Tasca, Paolo & Battiston, Stefano & Deghi, Andrea, 2017. "Portfolio diversification and systemic risk in interbank networks," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 96-124.
    109. Hitoshi Hayakawa, 2020. "Liquidity in Financial Networks," Computational Economics, Springer;Society for Computational Economics, vol. 55(1), pages 253-301, January.
    110. Aein Khabazian & Jiming Peng, 2019. "Vulnerability Analysis of the Financial Network," Management Science, INFORMS, vol. 65(7), pages 3302-3321, July.
    111. Emanuele Ciola & Gabriele Tedeschi, 2021. "From interaction to business fluctuations: How credit network explain cycles," Working Papers 2021/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    112. Chen, Tingqiang & Wang, Yutong & Zeng, Qianru & Luo, Jun, 2020. "Network model of credit risk contagion in the interbank market by considering bank runs and the fire sale of external assets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    113. Lin, Li & Guo, Xin-Yu, 2019. "Identifying fragility for the stock market: Perspective from the portfolio overlaps network," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 132-151.
    114. Agostino Capponi & Peng-Chu Chen & David D. Yao, 2016. "Liability Concentration and Systemic Losses in Financial Networks," Operations Research, INFORMS, vol. 64(5), pages 1121-1134, October.
    115. Jiajia, Liu & Kun, Guo & Fangcheng, Tang & Yahan, Wang & Shouyang, Wang, 2023. "The effect of the disposal of non-performing loans on interbank liquidity risk in China: A cash flow network-based analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 105-119.
    116. Glasserman, Paul & Young, H. Peyton, 2015. "How likely is contagion in financial networks?," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 383-399.
    117. Paolo Tasca & Stefano Battiston, "undated". "Diversification and Financial Stability," Working Papers CCSS-11-001, ETH Zurich, Chair of Systems Design.
    118. Danilo Delpini & Stefano Battiston & Guido Caldarelli & Massimo Riccaboni, 2019. "Systemic risk from investment similarities," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-15, May.
    119. Leonidas Sandoval Junior, 2014. "Dynamics in two networks based on stocks of the US stock market," Papers 1408.1728, arXiv.org, revised Aug 2014.
    120. Andre R. Neveu, 2018. "A survey of network-based analysis and systemic risk measurement," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 241-281, July.
    121. Edoardo Gaffeo & Mauro Gallegati & Lucio Gobbi, 2022. "Endogenous clearinghouse formation in payment networks," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 109-136, April.
    122. Hans Rau-Bredow, 2019. "Bigger Is Not Always Safer: A Critical Analysis of the Subadditivity Assumption for Coherent Risk Measures," Risks, MDPI, vol. 7(3), pages 1-18, August.
    123. Yang Xu, 2017. "Intervention On Default Contagion Under Partial Information," Papers 1710.02127, arXiv.org.
    124. Irena Barjav{s}i'c & Stefano Battiston & Vinko Zlati'c, 2023. "Credit Valuation Adjustment in Financial Networks," Papers 2305.16434, arXiv.org.
    125. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    126. Deborah Noguera & Gabriel Montes-Rojas, 2022. "Credit-constrained fluctuations and uncertainty in a network economy," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(80), pages 5-52, November.
    127. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.
    128. Bardoscia, Marco & Ka-Kay Pang, Raymond, 2023. "Ring-fencing in financial networks," Bank of England working papers 1046, Bank of England.
    129. Carmelo Algeri & Antonio F. Forgione & Carlo Migliardo, 2022. "Do spatial dependence and market power matter in the diversification of cooperative banks?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 51(3), November.
    130. León, Carlos & Berndsen, Ron J., 2014. "Rethinking financial stability: Challenges arising from financial networks’ modular scale-free architecture," Journal of Financial Stability, Elsevier, vol. 15(C), pages 241-256.
    131. de Area Leão Pereira, Eder Johnson & da Silva, Marcus Fernandes & Pereira, H.B.B., 2017. "Econophysics: Past and present," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 251-261.
    132. Sergio R. Stancato de Souza, 2014. "Capital Requirements, Liquidity and Financial Stability: the case of Brazil," Working Papers Series 375, Central Bank of Brazil, Research Department.
    133. Rüdiger Frey & Juraj Hledik, 2018. "Diversification and Systemic Risk: A Financial Network Perspective," Risks, MDPI, vol. 6(2), pages 1-11, May.
    134. Aymeric Vi'e & Alfredo J. Morales, 2019. "How connected is too connected? Impact of network topology on systemic risk and collapse of complex economic systems," Papers 1912.09814, arXiv.org.
    135. Marco Bardoscia & Paolo Barucca & Stefano Battiston & Fabio Caccioli & Giulio Cimini & Diego Garlaschelli & Fabio Saracco & Tiziano Squartini & Guido Caldarelli, 2021. "The Physics of Financial Networks," Papers 2103.05623, arXiv.org.
    136. Rebekka Burkholz & Hans J. Herrmann & Frank Schweitzer, 2018. "Explicit size distributions of failure cascades redefine systemic risk on finite networks," Papers 1802.03286, arXiv.org.
    137. León, C., 2015. "Financial stability from a network perspective," Other publications TiSEM bb2e4e44-e842-45c6-a946-4, Tilburg University, School of Economics and Management.

  75. Stefania Vitali & Stefano Battiston & Mauro Gallegati, "undated". "Financial fragility and distress propagation in a network of regions," Working Papers ETH-RC-12-016, ETH Zurich, Chair of Systems Design.

    Cited by:

    1. Giuseppe Arcuri & Marc Brunetto & Nadine Levratto, 2019. "Spatial patterns and determinants of firm exit: an empirical analysis on France," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(1), pages 99-118, February.
    2. Kangogo, Moses & Volkov, Vladimir, 2021. "Dynamic effects of network exposure on equity markets," Working Papers 2021-03, University of Tasmania, Tasmanian School of Business and Economics.
    3. Kuhla, Kilian & Willner, Sven N & Otto, Christian & Levermann, Anders, 2023. "Resilience of international trade to typhoon-related supply disruptions," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    4. Mardi Dungey & Moses Kangogo & Vladimir Volkov, 2022. "Dynamic effects of network exposure on equity markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(4), pages 569-629, December.
    5. Jan Kolesnik, 2021. "The Contagion Effect and its Mitigation in the Modern Banking System," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 1009-1024.
    6. Haifei Liu & Tingqiang Chen & Zuhan Hu, 2017. "Dynamic Evolution of Securities Market Network Structure under Acute Fluctuation Circumstances," Complexity, Hindawi, vol. 2017, pages 1-11, November.
    7. Acedański, Jan & Karkowska, Renata, 2022. "Instability spillovers in the banking sector: A spatial econometrics approach," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    8. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.

Articles

  1. Daniele Tori & Eugenio Caverzasi & Mauro Gallegati, 2023. "Financial production and the subprime mortgage crisis," Journal of Evolutionary Economics, Springer, vol. 33(2), pages 573-603, April.

    Cited by:

    1. Alberto Botta & Eugenio Caverzasi & Alberto Russo, 2023. "Same Old Song: On The Macroeconomic And Distributional Effects Of Leaving A Low Interest Rate Environment," Working Papers 481, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

  2. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    See citations under working paper version above.
  3. Ciola, Emanuele & Gaffeo, Edoardo & Gallegati, Mauro, 2022. "Search for profits and business fluctuations: How does banks’ behaviour explain cycles?," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).

    Cited by:

    1. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2023. "Enter the MATRIX model:a Multi-Agent model for Transition Risks with application to energy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    2. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2022. "Energy price shocks and stabilization policies in a multi-agent macroeconomic model for the Euro Area," FEEM Working Papers 324171, Fondazione Eni Enrico Mattei (FEEM).
    3. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2023. "Energy price shocks and stabilization policies in the MATRIX model," Energy Policy, Elsevier, vol. 177(C).

  4. Fabiano Compagnucci & Andrea Gentili & Enzo Valentini & Mauro Gallegati, 2022. "Asymmetric responses to shocks: the role of structural change on resilience of the Euro area regions," Applied Economics, Taylor & Francis Journals, vol. 54(37), pages 4324-4355, August.

    Cited by:

    1. Otegui Banno, Santiago & Calá, Carla Daniela & Niembro, Andrés, 2023. "Resiliencia y recuperación de las regiones argentinas ante las crisis económicas: el papel de la estructura industrial y de la competitividad regional," Nülan. Deposited Documents 3914, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.

  5. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    See citations under working paper version above.
  6. Mauro Gallegati & Laura Gardini & Iryna Sushko, 2021. "Dynamics of a business cycle model with two types of governmental expenditures: the role of border collision bifurcations," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 613-639, December.

    Cited by:

    1. Gardini, Laura & Radi, Davide & Schmitt, Noemi & Sushko, Iryna & Westerhoff, Frank, 2023. "Sentiment-driven business cycle dynamics: An elementary macroeconomic model with animal spirits," Journal of Economic Behavior & Organization, Elsevier, vol. 210(C), pages 342-359.

  7. Botta, Alberto & Caverzasi, Eugenio & Russo, Alberto & Gallegati, Mauro & Stiglitz, Joseph E., 2021. "Inequality and finance in a rent economy," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 998-1029.
    See citations under working paper version above.
  8. Catullo, Ermanno & Giri, Federico & Gallegati, Mauro, 2021. "Macro- And Microprudential Policies: Sweet And Lowdown In A Credit Network Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 25(5), pages 1227-1246, July.
    See citations under working paper version above.
  9. Compagnucci, Fabiano & Gentili, Andrea & Valentini, Enzo & Gallegati, Mauro, 2021. "Have jobs and wages stopped rising? Productivity and structural change in advanced countries," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 412-430.

    Cited by:

    1. Andrea Gentili & Fabiano Compagnucci & Mauro Gallegati & Enzo Valentini, 2020. "Are machines stealing our jobs?," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 153-173.
    2. Jorge Antunes & Goodness C. Aye & Rangan Gupta & Peter Wanke & Yong Tan, 2020. "Endogenous Long-Term Productivity Performance in Advanced Countries: A Novel Two-Dimensional Fuzzy-Monte Carlo Approach," Working Papers 2020111, University of Pretoria, Department of Economics.

  10. Tedeschi, Gabriele & Vidal-Tomás, David & Delli-Gatti, Domenico & Gallegati, Mauro, 2021. "The macroeconomic effects of default and debt restructuring: An agent based exploration," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 1146-1163.

    Cited by:

    1. Brini, Alessio & Tedeschi, Gabriele & Tantari, Daniele, 2023. "Reinforcement learning policy recommendation for interbank network stability," Journal of Financial Stability, Elsevier, vol. 67(C).
    2. Marco Catola & Silvia Leoni, 2023. "Pollution Abatement and Lobbying in a Cournot Game. An Agent-Based Modelling approach," Discussion Papers 2023/294, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.

  11. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).

    Cited by:

    1. Francesco Campigli & Gabriele Tedeschi & Maria Cristina Recchioni, 2021. "The talkative variables of the hybrid Heston model: Yields’ maturity and economic (in)stability," Working Papers 2021/03, Economics Department, Universitat Jaume I, Castellón (Spain).
    2. Marwil J. Davila-Fernandez & Serena Sordi, 2022. "The Green-MKS system: A baseline environmental macro-dynamic model," Department of Economics University of Siena 890, Department of Economics, University of Siena.
    3. Manavi, Seyed Alireza & Jafari, Gholamreza & Rouhani, Shahin & Ausloos, Marcel, 2020. "Demythifying the belief in cryptocurrencies decentralized aspects. A study of cryptocurrencies time cross-correlations with common currencies, commodities and financial indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
    4. Dorsa Mohammadi Arezooji, 2021. "A Big Data Analysis of the Ethereum Network: from Blockchain to Google Trends," Papers 2104.01764, arXiv.org.
    5. Rocco Caferra & Gabriele Tedeschi & Andrea Morone, 2023. "Agents interaction and price dynamics: evidence from the laboratory," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 251-274, April.
    6. Tinic, Murat & Sensoy, Ahmet & Demir, Muge & Nguyen, Duc Khuong, 2020. "Broker Network Connectivity and the Cross-Section of Expected Stock Returns," MPRA Paper 104719, University Library of Munich, Germany.
    7. Tedeschi, Gabriele & Vidal-Tomás, David & Delli-Gatti, Domenico & Gallegati, Mauro, 2021. "The macroeconomic effects of default and debt restructuring: An agent based exploration," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 1146-1163.
    8. David Vidal-Tomás & Rocco Caferra & Gabriele Tedeschi, 2022. "The day after tomorrow: financial repercussions of COVID-19 on systemic risk," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 169-192, April.

  12. Raffaele Giammetti & Alberto Russo & Mauro Gallegati, 2020. "Key sectors in input–output production networks: An application to Brexit," The World Economy, Wiley Blackwell, vol. 43(4), pages 840-870, April.
    See citations under working paper version above.
  13. Andrea Gentili & Fabiano Compagnucci & Mauro Gallegati & Enzo Valentini, 2020. "Are machines stealing our jobs?," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 153-173.

    Cited by:

    1. Klump, Rainer & Jurkat, Anne & Schneider, Florian, 2021. "Tracking the rise of robots: A survey of the IFR database and its applications," MPRA Paper 107909, University Library of Munich, Germany.
    2. Davide Dottori, 2021. "Robots and employment: evidence from Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 739-795, July.
    3. Judith Clifton & Amy Glasmeier & Mia Gray, 2020. "When machines think for us: the consequences for work and place," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 3-23.
    4. Capello, Roberta & Lenzi, Camilla & Perucca, Giovanni, 2022. "The modern Solow paradox. In search for explanations," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 166-180.
    5. Caselli, Mauro & Fracasso, Andrea & Scicchitano, Sergio & Traverso, Silvio & Tundis, Enrico, 2021. "Stop worrying and love the robot: An activity-based approach to assess the impact of robotization on employment dynamics," GLO Discussion Paper Series 802, Global Labor Organization (GLO).
    6. Fuchs Martina & Cumbers Andrew, 2023. "Digitalization and Labor Restructuring," ZFW – Advances in Economic Geography, De Gruyter, vol. 67(4), pages 173-176, December.

  14. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2020. "Are Higher Wages Good For Business? An Assessment Under Alternative Innovation And Investment Scenarios," Macroeconomic Dynamics, Cambridge University Press, vol. 24(1), pages 191-230, January.
    See citations under working paper version above.
  15. Simone Landini & Mauro Gallegati & J. Barkley Rosser, 2020. "Consistency and incompleteness in general equilibrium theory," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 205-230, January.

    Cited by:

    1. Szymon Chudziak, 2022. "On the sources of economic growth, structural consistency of agent-based models and mental-accounting consumer behaviour," KAE Working Papers 2022-073, Warsaw School of Economics, Collegium of Economic Analysis.
    2. Rosser, J. Barkley & Rosser, Marina V., 2023. "The Bielefeld School of economics, Post Keynesian economics, and dynamic complexity," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 454-465.

  16. Leonardo Bargigli & Luca Riccetti & Alberto Russo & Mauro Gallegati, 2020. "Network calibration and metamodeling of a financial accelerator agent based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(2), pages 413-440, April.
    See citations under working paper version above.
  17. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena & Mauro Gallegati, 2020. "Long-run expectations in a learning-to-forecast experiment: a simulation approach," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 75-116, January.
    See citations under working paper version above.
  18. Fabiano Compagnucci & Andrea Gentili & Enzo Valentini & Mauro Gallegati, 2020. "Technical Progress, Structural Change, and Robotisation: Insights from the Growth Patterns of the “Visegrádµ Countries," Economia & lavoro, Carocci editore, issue 1, pages 13-29.

    Cited by:

    1. Klodian Mu o & Enzo Valentini & Stefano Lucarelli, 2021. "The Relationships between GDP growth, Energy Consumption, Renewable Energy Production and CO2 Emissions in European Transition Economies," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 362-373.

  19. Di Guilmi, C. & Gallegati, M. & Landini, S. & Stiglitz, J.E., 2020. "An analytical solution for network models with heterogeneous and interacting agents," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 189-220.

    Cited by:

    1. Deborah Noguera & Gabriel Montes-Rojas, 2023. "Minskyan model with credit rationing in a network economy," SN Business & Economics, Springer, vol. 3(3), pages 1-26, March.
    2. Nikolaos Th. Chatzarakis, 2021. "Revisiting the role and consequences of Econophysics from a Marxian perspective," Bulletin of Political Economy, Bulletin of Political Economy, vol. 15(1), pages 45-68, June.
    3. Esmalifalak, Hamidreza, 2022. "Euclidean (dis)similarity in financial network analysis," Global Finance Journal, Elsevier, vol. 53(C).
    4. Ramis Khabibullin & Alexey Ponomarenko, 2022. "An empirical behavioral model of household’s deposit dollarization," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(3), pages 827-847, July.
    5. Deborah Noguera & Gabriel Montes-Rojas, 2022. "Credit-constrained fluctuations and uncertainty in a network economy," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(80), pages 5-52, November.

  20. Fabiano Compagnucci & Andrea Gentili & Enzo Valentini & Mauro Gallegati, 2019. "Robotization and labour dislocation in the manufacturing sectors of OECD countries: a panel VAR approach," Applied Economics, Taylor & Francis Journals, vol. 51(57), pages 6127-6138, December.

    Cited by:

    1. Klump, Rainer & Jurkat, Anne & Schneider, Florian, 2021. "Tracking the rise of robots: A survey of the IFR database and its applications," MPRA Paper 107909, University Library of Munich, Germany.
    2. M. Battisti & M. Del Gatto & A. F. Gravina & C. F. Parmeter, 2021. "Robots versus labor skills: a complementarity/substitutability analysis," Working Paper CRENoS 202104, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    3. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    4. Guarascio, Dario & Piccirillo, Alessandro & Reljic, Jelena, 2024. "Will robot replace workers? Assessing the impact of robots on employment and wages with meta-analysis," GLO Discussion Paper Series 1395, Global Labor Organization (GLO).
    5. Filippi, Emilia & Bannò, Mariasole & Trento, Sandro, 2023. "Automation technologies and their impact on employment: A review, synthesis and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    6. Andrea Gentili & Fabiano Compagnucci & Mauro Gallegati & Enzo Valentini, 2020. "Are machines stealing our jobs?," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 153-173.
    7. Caselli, Mauro & Fracasso, Andrea & Scicchitano, Sergio & Traverso, Silvio & Tundis, Enrico, 2021. "Stop worrying and love the robot: An activity-based approach to assess the impact of robotization on employment dynamics," GLO Discussion Paper Series 802, Global Labor Organization (GLO).
    8. Jurkat, Anne & Klump, Rainer & Schneider, Florian, 2023. "Robots and Wages: A Meta-Analysis," EconStor Preprints 274156, ZBW - Leibniz Information Centre for Economics.

  21. Hosseiny, Ali & Absalan, Mohammadreza & Sherafati, Mohammad & Gallegati, Mauro, 2019. "Hysteresis of economic networks in an XY model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 644-652.
    See citations under working paper version above.
  22. Caiani, Alessandro & Catullo, Ermanno & Gallegati, Mauro, 2019. "The effects of alternative wage regimes in a monetary union: A multi-country agent based-stock flow consistent model," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 389-416.

    Cited by:

    1. Siyan Chen & Saul Desiderio, 2023. "An agent-based framework for the analysis of the macroeconomic effects of population aging," Journal of Evolutionary Economics, Springer, vol. 33(2), pages 393-427, April.
    2. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    3. Bernhard Schuetz, 2022. "Investment booms, diverging competitiveness and wage growth within a monetary union: An AB-SFC model," ICAE Working Papers 138, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    4. Lena Gerdes & Bernhard Rengs & Manuel Scholz-Wäckerle, 2022. "Labor and environment in global value chains: an evolutionary policy study with a three-sector and two-region agent-based macroeconomic model," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 123-173, January.
    5. Alessandro Caiani & Ermanno Catullo, 2023. "Fiscal Transfers and Common Debt in a Monetary Union: A Multi-Country Agent Based-Stock Flow Consistent Model," LEM Papers Series 2023/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Nasir, Muhammad Ali & Wu, Junjie & Howes, Cameron & Ripley, Helen, 2022. "Asymmetric nexus between wages and productivity in the context of the global financial crisis," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 164-175.
    7. Claudius Gräbner & Anna Hornykewycz, 2022. "Capability accumulation and product innovation: an agent-based perspective," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 87-121, January.
    8. Gräbner, Claudius & Heimberger, Philipp & Kapeller, Jakob & Landesmann, Michael & Schütz, Bernhard, 2021. "The evolution of debtor-creditor relationships within a monetary union: Trade imbalances, excess reserves and economic policy," ifso working paper series 10, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    9. Lucrezia Fanti & Marcelo C. Pereira & Maria Enrica Virgillito, 2022. "The North-South divide: sources of divergence, policies for convergence," DISCE - Quaderni del Dipartimento di Politica Economica dipe0027, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    10. Karl Naumann-Woleske, 2023. "Agent-based Integrated Assessment Models: Alternative Foundations to the Environment-Energy-Economics Nexus," Papers 2301.08135, arXiv.org, revised Jan 2023.
    11. Aistleitner, Matthias & Gräbner, Claudius & Hornykewycz, Anna, 2021. "Theory and empirics of capability accumulation: Implications for macroeconomic modeling," Research Policy, Elsevier, vol. 50(6).
    12. Giovanni Dosi & Andrea Roventini, 2024. "Evolutionary Growth Theory," LEM Papers Series 2024/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    13. Lucrezia Fanti, 2021. "‘Kaldor Facts’ and the decline of Wage Share: An agent based-stock flow consistent model of induced technical change along Classical and Keynesian lines," Journal of Evolutionary Economics, Springer, vol. 31(2), pages 379-415, April.

  23. Alessandro Caiani & Alberto Russo & Mauro Gallegati, 2019. "Does inequality hamper innovation and growth? An AB-SFC analysis," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 177-228, March.

    Cited by:

    1. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    2. Giovanni Dosi & Francesco Lamperti & Mariana Mazzucato & Mauro Napoletano & Andrea Roventini, 2021. "Mission-Oriented Policies and the "Entrepreneurial State" at Work: An Agent-Based Exploration," GREDEG Working Papers 2021-25, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    3. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2021. "Technological paradigms, labour creation and destruction in a multi-sector agent-based model," LEM Papers Series 2021/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Luca Eduardo Fierro & Alessandro Caiani & Alberto Russo, 2021. "Automation, job polarisation, and structural change," Working Papers 2021/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    5. Herbert Dawid & Michael Neugart, 2023. "Effects of technological change and automation on industry structure and (wage-)inequality: insights from a dynamic task-based model," Journal of Evolutionary Economics, Springer, vol. 33(1), pages 35-63, January.
    6. Emiliano Álvarez & Marcelo Álvez & Juan Gabriel Brida, 2022. "Impuesto Progresivo al Ingreso y Crecimiento: Abordaje desde la Complejidad," Working Papers 114, Red Nacional de Investigadores en Economía (RedNIE).
    7. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    8. Sylvain Barde, 2019. "Macroeconomic simulation comparison with a multivariate extension of the Markov Information Criterion," Studies in Economics 1908, School of Economics, University of Kent.
    9. Sylvain Barde, 2022. "Bayesian Estimation of Large-Scale Simulation Models with Gaussian Process Regression Surrogates," Studies in Economics 2203, School of Economics, University of Kent.
    10. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2022. "Energy price shocks and stabilization policies in a multi-agent macroeconomic model for the Euro Area," FEEM Working Papers 324171, Fondazione Eni Enrico Mattei (FEEM).
    11. Andrea Borsato, 2022. "An agent-based model for Secular Stagnation in the USA: theory and empirical evidence," Journal of Evolutionary Economics, Springer, vol. 32(4), pages 1345-1389, September.
    12. Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2021. "An Agent-based Model of Trickle-up Growth and Income Inequality," GREDEG Working Papers 2021-29, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    13. Elena Deryugina & Alexey Ponomarenko, 2021. "Explaining the lead–lag pattern in the money–inflation relationship: a microsimulation approach," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1113-1128, September.
    14. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2023. "Energy price shocks and stabilization policies in the MATRIX model," Energy Policy, Elsevier, vol. 177(C).
    15. Andrea Vandin & Daniele Giachini & Francesco Lamperti & Francesca Chiaromonte, 2021. "Automated and Distributed Statistical Analysis of Economic Agent-Based Models," Papers 2102.05405, arXiv.org, revised Nov 2023.
    16. Claudius Graebner-Radkowitsch & Anna Hornykewycz & Bernhard Schuetz, 2022. "The emergence of debt and secular stagnation in an unequal society: a stockflow consistent agent-based approach," ICAE Working Papers 135, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    17. Marco Ranaldi & Elisa Palagi, 2022. "Heterogeneity in Macroeconomics: The Compositional Inequality Perspective," LIS Working papers 848, LIS Cross-National Data Center in Luxembourg.
    18. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2022. "Dynamic simulation of taxes and welfare benefits by database imputation," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA3/22, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    19. Eric Kemp-Benedict, 2022. "A classical-evolutionary model of technological change," Journal of Evolutionary Economics, Springer, vol. 32(4), pages 1303-1343, September.
    20. Andrea Borsato, 2021. "Simple Matching Protocols for Agent-based Models," Working Papers of BETA 2021-35, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    21. Papadopoulos, Georgios, 2019. "Income inequality, consumption, credit and credit risk in a data-driven agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 104(C), pages 39-73.
    22. Andrea Borsato, 2021. "An Agent-based Model for Secular Stagnation in the USA: Theory and Empirical Evidence," LEM Papers Series 2021/09, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    23. Giovanni Dosi & Andrea Roventini, 2019. "More is different ... and complex! the case for agent-based macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 1-37, March.
    24. Rzeszutek, Marcin & Godin, Antoine & Szyszka, Adam & Augier, Stanislas, 2020. "Managerial overconfidence in initial public offering decisions and its impact on macrodynamics and financial stability: Analysis using an agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 118(C).
    25. A. Karayev K. & А. Караев К., 2018. "Влияние финансиализации и неравенства распределения доходов на рост экономики, инвестиционные процессы и инновации // The Impact of Financialization and Income Inequality on Economic Growth, Investmen," Экономика. Налоги. Право // Economics, taxes & law, ФГОБУ "Финансовый университет при Правительстве Российской Федерации" // Financial University under The Government of Russian Federation, vol. 11(6), pages 57-68.
    26. Jacopo Di Domenico & Alberto Russo, 2022. "Innovation, growth, and productivity appropriation. How the elites learned to stop worrying and love public debt," Working Papers 2022/12, Economics Department, Universitat Jaume I, Castellón (Spain).
    27. Pier-Paolo Saviotti & Andreas Pyka¤ & Bogang Jun, 2020. "Diversification, structural change, and economic development," Journal of Evolutionary Economics, Springer, vol. 30(5), pages 1301-1335, November.
    28. Vandin, Andrea & Giachini, Daniele & Lamperti, Francesco & Chiaromonte, Francesca, 2022. "Automated and distributed statistical analysis of economic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    29. Herbert Dawid & Jasper Hepp, 2022. "Distributional effects of technological regime changes: hysteresis, concentration and inequality dynamics," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 137-167, April.
    30. Lilian Rolim & Laura Carvalho & Dany Lang, 2023. "Monetary policy rules and the inequality-augmented Phillips Curve," Working Papers, Department of Economics 2023_06, University of São Paulo (FEA-USP).
    31. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "The complexity of the intangible digital economy: an agent-based model," MPRA Paper 97071, University Library of Munich, Germany.
    32. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "An economy under the digital transformation," MPRA Paper 94205, University Library of Munich, Germany.
    33. Papadopoulos, Georgios, 2020. "Probing the mechanism: lending rate setting in a data-driven agent-based model," MPRA Paper 102749, University Library of Munich, Germany.
    34. Patrick Mellacher & Timon Scheuer, 2021. "Wage Inequality, Labor Market Polarization and Skill-Biased Technological Change: An Evolutionary (Agent-Based) Approach," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 233-278, August.
    35. Yang, Xiaoliang & Zhou, Peng, 2022. "Wealth inequality and social mobility: A simulation-based modelling approach," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 307-329.
    36. Giovanni Dosi & Andrea Roventini, 2024. "Evolutionary Growth Theory," LEM Papers Series 2024/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    37. Andrea Borsato & Andre Lorentz, 2023. "Open Science vs. Mission-oriented Policies and the Long-run Dynamics of Integrated Economies: An Agent-based Model with a Kaldorian Flavour," Working Papers of BETA 2023-17, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    38. Terranova, Roberta & Turco, Enrico M., 2022. "Concentration, stagnation and inequality: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 569-595.
    39. Ítalo Pedrosa & Dany Lang, 2021. "To what extent does aggregate leverage determine financial fragility? New insights from an agent-based stock-flow consistent model," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1221-1275, September.
    40. Patrick Mellacher, 2020. "COVID-Town: An Integrated Economic-Epidemiological Agent-Based Model," Papers 2011.06289, arXiv.org.
    41. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.

  24. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2019. "Monetary policy and large crises in a financial accelerator agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 42-58.
    See citations under working paper version above.
  25. Fabio Clementi & Mauro Gallegati & Lisa Gianmoena & Simone Landini & Joseph E. Stiglitz, 2019. "Mis-measurement of inequality: a critical reflection and new insights," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 891-921, December.

    Cited by:

    1. Joongyang Park & Youngsoon Kim & Ae-Jin Ju, 2021. "Measuring income inequality based on unequally distributed income," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(2), pages 309-322, April.
    2. Grachev, Gennady A., 2022. "Size distribution of states, counties, and cities in the USA: New inequality form information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 592(C).
    3. Mario Schlemmer, 2021. "Including the asymmetry of the Lorenz curve into measures of economic inequality," Papers 2108.03623, arXiv.org, revised Sep 2022.
    4. McMahon, James, 2022. "Star Power and Risk. A Political Economic Study of Casting Trends in Hollywood," Working Papers on Capital as Power 2022/01, Capital As Power - Toward a New Cosmology of Capitalism.

  26. Ermanno Catullo & Antonio Palestrini & Ruggero Grilli & Mauro Gallegati, 2018. "Early warning indicators and macro-prudential policies: a credit network agent based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 81-115, April.

    Cited by:

    1. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2019. "Winter is possibly not coming: mitigating financial instability in an agent-based model with interbank market," SciencePo Working papers Main hal-03403274, HAL.
    2. Sui, Xin & Li, Liang, 2018. "Guarantee network model and risk contagion," Chaos, Solitons & Fractals, Elsevier, vol. 106(C), pages 323-329.
    3. Catullo, Ermanno & Giri, Federico & Gallegati, Mauro, 2021. "Macro- And Microprudential Policies: Sweet And Lowdown In A Credit Network Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 25(5), pages 1227-1246, July.
    4. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).

  27. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2018. "Financial Regulation And Endogenous Macroeconomic Crises," Macroeconomic Dynamics, Cambridge University Press, vol. 22(4), pages 896-930, June.

    Cited by:

    1. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    2. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    3. Botta, Alberto & Caverzasi, Eugenio & Russo, Alberto & Gallegati, Mauro & Stiglitz, Joseph E., 2018. "Inequality and finance in a rent economy," Greenwich Papers in Political Economy 20377, University of Greenwich, Greenwich Political Economy Research Centre.
    4. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    5. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    6. Brini, Alessio & Tedeschi, Gabriele & Tantari, Daniele, 2023. "Reinforcement learning policy recommendation for interbank network stability," Journal of Financial Stability, Elsevier, vol. 67(C).
    7. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    8. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2019. "Winter is possibly not coming: mitigating financial instability in an agent-based model with interbank market," SciencePo Working papers Main hal-03403274, HAL.
    9. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Monetary policy and large crises in a financial accelerator agent-based model," FinMaP-Working Papers 65, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    10. Steinbacher, Mitja & Raddant, Matthias & Karimi, Fariba & Camacho-Cuena, Eva & Alfarano, Simone & Iori, Giulia & Lux, Thomas, 2021. "Advances in the Agent-Based Modeling of Economic and Social Behavior," MPRA Paper 107317, University Library of Munich, Germany.
    11. Rzeszutek, Marcin & Godin, Antoine & Szyszka, Adam & Augier, Stanislas, 2020. "Managerial overconfidence in initial public offering decisions and its impact on macrodynamics and financial stability: Analysis using an agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 118(C).
    12. Catullo, Ermanno & Giri, Federico & Gallegati, Mauro, 2021. "Macro- And Microprudential Policies: Sweet And Lowdown In A Credit Network Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 25(5), pages 1227-1246, July.
    13. Li, Boyao, 2022. "The macroeconomic effects of Basel III regulations with endogenous credit and money creation," MPRA Paper 113873, University Library of Munich, Germany.
    14. Adão, Luiz F.S. & Silveira, Douglas & Ely, Regis A. & Cajueiro, Daniel O., 2022. "The impacts of interest rates on banks’ loan portfolio risk-taking," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    15. Carlos M. Fernández-Márquez & Matías Fuentes & Juan José Martínez & Francisco J. Vázquez, 2021. "Productivity and unemployment: an ABM approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 133-151, January.
    16. Meier, Samira & Rodriguez Gonzalez, Miguel & Kunze, Frederik, 2021. "The global financial crisis, the EMU sovereign debt crisis and international financial regulation: lessons from a systematic literature review," International Review of Law and Economics, Elsevier, vol. 65(C).
    17. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.

  28. Alessandro Caiani & Ermanno Catullo & Mauro Gallegati, 2018. "The effects of fiscal targets in a monetary union: a multi-country agent-based stock flow consistent model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1123-1154.

    Cited by:

    1. Naqvi, Syed Ali Asjad & Engelbert, Stockhammer, 2017. "Directed Technological Change in a post-Keynesian Ecological Macromodel," Ecological Economic Papers 16, WU Vienna University of Economics and Business.
    2. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    3. Luca Eduardo Fierro & Alessandro Caiani & Alberto Russo, 2021. "Automation, job polarisation, and structural change," Working Papers 2021/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    4. Fanti, Lucrezia, 2018. "An AB-SFC Model of Induced Technical Change along Classical and Keynesian Lines," MPRA Paper 86929, University Library of Munich, Germany.
    5. Marko Petrovic & Bulent Ozel & Andrea Teglio & Marco Raberto & Silvano Cincotti, 2017. "Eurace Open: An agent-based multi-country model," Working Papers 2017/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    6. Giovanni Dosi & Andrea Roventini & Emanuele Russo, 2020. "Public policies and the art of catching up: matching the historical evidence with a multi-country agent-based model," LEM Papers Series 2020/10, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    8. Giovanni Dosi & Andrea Roventini & Emmanuele Russo, 2018. "Endogenous growth and global divergence in a multi-country agent - based model," SciencePo Working papers Main hal-03471735, HAL.
    9. Sylvain Barde, 2022. "Bayesian Estimation of Large-Scale Simulation Models with Gaussian Process Regression Surrogates," Studies in Economics 2203, School of Economics, University of Kent.
    10. Elena Deryugina & Alexey Ponomarenko, 2021. "Explaining the lead–lag pattern in the money–inflation relationship: a microsimulation approach," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1113-1128, September.
    11. Bernhard Schuetz, 2022. "Investment booms, diverging competitiveness and wage growth within a monetary union: An AB-SFC model," ICAE Working Papers 138, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    12. Severin Reissl, 2022. "Fiscal multipliers, expectations and learning in a macroeconomic agent‐based model," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1704-1729, October.
    13. Lena Gerdes & Bernhard Rengs & Manuel Scholz-Wäckerle, 2022. "Labor and environment in global value chains: an evolutionary policy study with a three-sector and two-region agent-based macroeconomic model," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 123-173, January.
    14. Russo, Emanuele & Foster-McGregor, Neil & Verspagen, Bart, 2019. "Characterizing growth instability: new evidence on unit roots and structural breaks in long run time series," MERIT Working Papers 2019-026, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    15. Claudius Graebner-Radkowitsch & Anna Hornykewycz & Bernhard Schuetz, 2022. "The emergence of debt and secular stagnation in an unequal society: a stockflow consistent agent-based approach," ICAE Working Papers 135, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    16. Alessandro Caiani & Ermanno Catullo, 2023. "Fiscal Transfers and Common Debt in a Monetary Union: A Multi-Country Agent Based-Stock Flow Consistent Model," LEM Papers Series 2023/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    17. Giovanni Dosi & Andrea Roventini & Emmanuele Russo, 2020. "Public Policies And The Art Of Catching Up," Working Papers hal-03242369, HAL.
    18. Branimir Jovanović & Michael Landesmann & Oliver Reiter & Bernhard Schütz, 2023. "Structural Change, Income Distribution and Unemployment Related to COVID-19: An Agent-based Model," wiiw Working Papers 223, The Vienna Institute for International Economic Studies, wiiw.
    19. Rzeszutek, Marcin & Godin, Antoine & Szyszka, Adam & Augier, Stanislas, 2020. "Managerial overconfidence in initial public offering decisions and its impact on macrodynamics and financial stability: Analysis using an agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 118(C).
    20. Gräbner, Claudius & Heimberger, Philipp & Kapeller, Jakob & Landesmann, Michael & Schütz, Bernhard, 2021. "The evolution of debtor-creditor relationships within a monetary union: Trade imbalances, excess reserves and economic policy," ifso working paper series 10, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    21. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    22. Karl Naumann-Woleske, 2023. "Agent-based Integrated Assessment Models: Alternative Foundations to the Environment-Energy-Economics Nexus," Papers 2301.08135, arXiv.org, revised Jan 2023.
    23. Jessica Reale, 2023. "Interbank Decisions and Margins of Stability: an Agent-Based Stock-Flow Consistent Approach," Papers 2306.05860, arXiv.org.
    24. Antoine GODIN & Sakir-Devrim YILMAZ, 2020. "Modelling Small Open Developing Economies in a Financialized World: A Stock-Flow Consistent Prototype Growth Model," Working Paper 5eb7e0e8-560f-4ce6-91a5-5, Agence française de développement.
    25. Emanuele Russo & Neil Foster-McGregor, 2022. "Characterizing growth instability: new evidence on unit roots and structural breaks in countries’ long run trajectories," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 713-756, April.
    26. Terranova, Roberta & Turco, Enrico M., 2022. "Concentration, stagnation and inequality: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 569-595.
    27. Lucrezia Fanti, 2021. "‘Kaldor Facts’ and the decline of Wage Share: An agent based-stock flow consistent model of induced technical change along Classical and Keynesian lines," Journal of Evolutionary Economics, Springer, vol. 31(2), pages 379-415, April.
    28. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.
    29. Caiani, Alessandro & Catullo, Ermanno & Gallegati, Mauro, 2019. "The effects of alternative wage regimes in a monetary union: A multi-country agent based-stock flow consistent model," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 389-416.

  29. Annarita Colasante & Simone Alfarano & Eva Camacho & Mauro Gallegati, 2018. "Long-run expectations in a learning-to-forecast experiment," Applied Economics Letters, Taylor & Francis Journals, vol. 25(10), pages 681-687, June.
    See citations under working paper version above.
  30. Mariateresa Ciommi & Andrea Gentili & Barbara Ermini & Chiara Gigliarano & Francesco M. Chelli & Mauro Gallegati, 2017. "Have Your Cake and Eat it Too: The Well-Being of the Italians (1861–2011)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(2), pages 473-509, November.

    Cited by:

    1. Gianluca Egidi & Luca Salvati & Andrea Falcone & Giovanni Quaranta & Rosanna Salvia & Renata Vcelakova & Antonio Giménez-Morera, 2021. "Re-Framing the Latent Nexus between Land-Use Change, Urbanization and Demographic Transitions in Advanced Economies," Sustainability, MDPI, vol. 13(2), pages 1-17, January.
    2. Filippo Gambella & Leonardo Bianchini & Massimo Cecchini & Gianluca Egidi & Agostino Ferrara & Luca Salvati & Andrea Colantoni & Donato Morea, 2021. "Moving toward the north? The spatial shift of olive groves in Italy," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(4), pages 129-135.
    3. Lance Newey & Rui Torres Oliveira, 2019. "Wellbeing as Emergent from the Leveraging of Polarities: Harnessing Component Interdependencies," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 575-600, July.
    4. Daniela Smiraglia & Luca Salvati & Gianluca Egidi & Rosanna Salvia & Antonio Giménez-Morera & Rares Halbac-Cotoara-Zamfir, 2021. "Toward a New Urban Cycle? A Closer Look to Sprawl, Demographic Transitions and the Environment in Europe," Land, MDPI, vol. 10(2), pages 1-14, January.
    5. Samaneh Sadat Nickayin & Antonio Tomao & Giovanni Quaranta & Luca Salvati & Antonio Gimenez Morera, 2020. "Going toward Resilience? Town Planning, Peri-Urban Landscapes, and the Expansion of Athens, Greece," Sustainability, MDPI, vol. 12(24), pages 1-18, December.
    6. Jesús Rodrigo-Comino & Gianluca Egidi & Adele Sateriano & Stefano Poponi & Enrico Maria Mosconi & Antonio Gimenez Morera, 2021. "Suburban Fertility and Metropolitan Cycles: Insights from European Cities," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
    7. Andrea Ciccarelli & Elena Fabrizi & Eleonora Romano & Pietro Zoppoli, 2022. "Health, Well-Being and Work History Patterns: Insight on Territorial Differences," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 629-647, June.

  31. Valentini, Enzo & Arlotti, Marco & Compagnucci, Fabiano & Gentili, Andrea & Muratore, Fabrizio & Gallegati, Mauro, 2017. "Technical change, sectoral dislocation and barriers to labor mobility: Factors behind the great recession," Journal of Economic Dynamics and Control, Elsevier, vol. 81(C), pages 187-215.

    Cited by:

    1. Compagnucci, Fabiano & Gentili, Andrea & Valentini, Enzo & Gallegati, Mauro, 2021. "Have jobs and wages stopped rising? Productivity and structural change in advanced countries," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 412-430.
    2. Elisabetta Croci Angelini & Francesco Farina & Enzo Valentini, 2020. "Wage and employment by skill levels in technological evolution of South and East Europe," Journal of Evolutionary Economics, Springer, vol. 30(5), pages 1497-1514, November.
    3. Croci Angelini, Elisabetta & Farina, Francesco & Valentini, Enzo, 2017. "Wages and employment by skill level in Southern and Eastern Europe during the crisis," GLO Discussion Paper Series 153, Global Labor Organization (GLO).
    4. Califano, Andrea & Gasperin, Simone, 2019. "Multi-speed Europe is already there: Catching up and falling behind," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 152-167.
    5. Cutrini, Eleonora, 2019. "Economic integration, structural change, and uneven development in the European Union," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 102-113.

  32. Marco Gallegati & Mauro Gallegati & James B. Ramsey & Willi Semmler, 2017. "Long waves in prices: new evidence from wavelet analysis," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 11(1), pages 127-151, January.

    Cited by:

    1. Marco Gallegati, 2019. "A system for dating long wave phases in economic development," Journal of Evolutionary Economics, Springer, vol. 29(3), pages 803-822, July.
    2. Faria, Gonçalo & Verona, Fabio, 2020. "The yield curve and the stock market: Mind the long run," Journal of Financial Markets, Elsevier, vol. 50(C).
    3. Spinola, Danilo, 2023. "Instability constraints and development traps: an empirical analysis of growth cycles and economic volatility in Latin America," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    4. Mark Knell & Simone Vannuccini, 2022. "Tools and concepts for understanding disruptive technological change after Schumpeter," Jena Economics Research Papers 2022-005, Friedrich-Schiller-University Jena.
    5. Gallegati, Marco & Giri, Federico & Fratianni, Michele, 2019. "Money growth and inflation: International historical evidence on high inflation episodes for developed countries," Bank of Finland Research Discussion Papers 1/2019, Bank of Finland.
    6. Gerdesmeier Dieter & Roffia Barbara & Reimers Hans-Eggert, 2020. "Unravelling the Secrets of Inflation in the Euro Area – A Frequency Decomposition Approach," Folia Oeconomica Stetinensia, Sciendo, vol. 20(1), pages 133-162, June.
    7. Gerdesmeier, Dieter & Roffia, Barbara & Reimers, Hans-Eggert, 2018. "Unravelling the secrets of euro area inflation: A frequency decomposition approach," Wismar Discussion Papers 06/2018, Hochschule Wismar, Wismar Business School.
    8. Gallegati, Marco & Delli Gatti, Domenico, 2018. "Macrofinancial imbalances in historical perspective: A global crisis index," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 190-205.

  33. Colasante, Annarita & Palestrini, Antonio & Russo, Alberto & Gallegati, Mauro, 2017. "Adaptive expectations versus rational expectations: Evidence from the lab," International Journal of Forecasting, Elsevier, vol. 33(4), pages 988-1006.

    Cited by:

    1. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    2. Kopanyi-Peuker, Anita & Weber, Matthias, 2018. "Experience Does not Eliminate Bubbles: Experimental Evidence," SocArXiv ecj7q, Center for Open Science.
    3. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    4. Inoua, Sabiou M. & Smith, Vernon L., 2023. "A classical model of speculative asset price dynamics," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    5. Biondo, Alessio Emanuele, 2017. "Learning to forecast, risk aversion, and microstructural aspects of financial stability," Economics Discussion Papers 2017-104, Kiel Institute for the World Economy (IfW Kiel).
    6. Te Bao & Brice Corgnet & Nobuyuki Hanaki & Yohanes E. Riyanto & Jiahua Zhu, 2023. "Predicting the unpredictable : New experimental evidence on forecasting random walks," Post-Print hal-04376053, HAL.
    7. Biondo, Alessio Emanuele, 2018. "Learning to forecast, risk aversion, and microstructural aspects of financial stability," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-21.
    8. Arifa Jannat & Yuki Ishikawa-Ishiwata & Jun Furuya, 2021. "Assessing the Impacts of Climate Variations on the Potato Production in Bangladesh: A Supply and Demand Model Approach," Sustainability, MDPI, vol. 13(9), pages 1-22, April.
    9. Galanis, Giorgos & Kollias, Iraklis & Leventidis, Ioanis & Lustenhouwer, Joep, 2022. "Generalizing Heterogeneous Dynamic Heuristic Selection," CRETA Online Discussion Paper Series 73, Centre for Research in Economic Theory and its Applications CRETA.
    10. Brianzoni, Serena & Campisi, Giovanni, 2020. "Dynamical analysis of a financial market with fundamentalists, chartists, and imitators," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
    11. Emilian DOBRESCU, 2020. "Self-fulfillment degree of economic expectations within an integrated space: The European Union case study," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 5-32, December.
    12. Giovanni Campisi & Silvia Muzzioli, 2020. "Fundamentalists heterogeneity and the role of the sentiment indicator," Department of Economics 0167, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    13. Alfarano, Simone & Camacho-Cuena, Eva & Colasante, Annarita & Ruiz-Buforn, Alba, 2022. "The effect of time-varying fundamentals in Learning-to-Forecast Experiments," MPRA Paper 113086, University Library of Munich, Germany.
    14. Fu, Jianhua & Zhang, Yongqing, 2020. "Valuation of travel time reliability: Considering the traveler's adaptive expectation with an indifference band on daily trip duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 337-353.

  34. Hosseiny, Ali & Gallegati, Mauro, 2017. "Role of intensive and extensive variables in a soup of firms in economy to address long run prices and aggregate data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 51-59.
    See citations under working paper version above.
  35. Gallegati Marco & Gallegati Mauro & Ramsey James B. & Semmler Willi, 2016. "Productivity and unemployment: a scale-by-scale panel data analysis for the G7 countries," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 477-493, September.

    Cited by:

    1. Pu Chen & Willi Semmler, 2018. "Short and Long Effects of Productivity on Unemployment," Open Economies Review, Springer, vol. 29(4), pages 853-878, September.
    2. Patrick M. Crowley & David Hudgins, 2021. "Okun’s law revisited in the time–frequency domain: introducing unemployment into a wavelet-based control model," Empirical Economics, Springer, vol. 61(5), pages 2635-2662, November.
    3. Gallegati, Marco & Giri, Federico & Fratianni, Michele, 2019. "Money growth and inflation: International historical evidence on high inflation episodes for developed countries," Bank of Finland Research Discussion Papers 1/2019, Bank of Finland.
    4. Mark Partridge & Alexandra Tsvetkova & Michael Betz, 2021. "Are the most productive regions necessarily the most successful? Local effects of productivity growth on employment and earnings," Journal of Regional Science, Wiley Blackwell, vol. 61(1), pages 30-61, January.
    5. Dalia Mansour-Ibrahim, 2023. "Are the Eurozone Financial and Business Cycles Convergent Across Time and Frequency?," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 389-427, January.

  36. Ali Hosseiny & Mohammad Bahrami & Antonio Palestrini & Mauro Gallegati, 2016. "Metastable Features of Economic Networks and Responses to Exogenous Shocks," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-22, October.
    See citations under working paper version above.
  37. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Financialisation and crisis in an agent based macroeconomic model," Economic Modelling, Elsevier, vol. 52(PA), pages 162-172.
    See citations under working paper version above.
  38. Caiani, Alessandro & Godin, Antoine & Caverzasi, Eugenio & Gallegati, Mauro & Kinsella, Stephen & Stiglitz, Joseph E., 2016. "Agent based-stock flow consistent macroeconomics: Towards a benchmark model," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 375-408.

    Cited by:

    1. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01499344, HAL.
    2. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2023. "Enter the MATRIX model:a Multi-Agent model for Transition Risks with application to energy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    3. Alessandro Taberna & Tatiana Filatova & Andrea Roventini & Francesco Lamperti, 2021. "Coping with increasing tides: technological change, agglomeration dynamics and climate hazards in an agent-based evolutionary model," LEM Papers Series 2021/44, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Pascal Seppecher & Isabelle Salle & Marc Lavoie, 2017. "What drives markups? Evolutionary pricing in an agent-based stock-flow consistent macroeconomic model," CEPN Working Papers 2017-03, Centre d'Economie de l'Université de Paris Nord.
    5. Naqvi, Syed Ali Asjad & Engelbert, Stockhammer, 2017. "Directed Technological Change in a post-Keynesian Ecological Macromodel," Ecological Economic Papers 16, WU Vienna University of Economics and Business.
    6. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    7. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "When more Flexibility Yields more Fragility: the Microfoundations of Keynesian Aggregate Unemployment," LEM Papers Series 2016/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    8. Wenzhi Zheng & Yuting Lou & Yu Chen, 2019. "On the Unsustainable Macroeconomy with Increasing Inequality of Firms Induced by Excessive Liquidity," Sustainability, MDPI, vol. 11(11), pages 1-22, May.
    9. Gallegati, Mauro & Kirman, Alan, 2019. "20 years of WEHIA: A journey in search of a safer road," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 5-14.
    10. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    11. Lilian N. Rolim & Carolina Troncoso Baltar & Gilberto Tadeu Lima, 2023. "Income distribution, productivity growth, and workers’ bargaining power in an agent-based macroeconomic model," Journal of Evolutionary Economics, Springer, vol. 33(2), pages 473-516, April.
    12. Luca Eduardo Fierro & Alessandro Caiani & Alberto Russo, 2021. "Automation, job polarisation, and structural change," Working Papers 2021/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    13. Dawid, Herbert & Harting, Philipp & Neugart, Michael & Hoog, Sander van der, 2019. "Macroeconomics with heterogeneous agent models: fostering transparency, reproducibility and replication," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 113126, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    14. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2020. "Are Higher Wages Good For Business? An Assessment Under Alternative Innovation And Investment Scenarios," Macroeconomic Dynamics, Cambridge University Press, vol. 24(1), pages 191-230, January.
    15. Emiliano Álvarez & Marcelo Álvez & Juan Gabriel Brida, 2022. "Impuesto Progresivo al Ingreso y Crecimiento: Abordaje desde la Complejidad," Working Papers 114, Red Nacional de Investigadores en Economía (RedNIE).
    16. Ítalo Pedrosa & Dany Lang, 2018. "Heterogeneity, distribution and financial fragility of non-financial firms: an agent-based stock-flow consistent (AB-SFC) model," CEPN Working Papers hal-01937186, HAL.
    17. Raquel Almeida Ramos & Federico Bassi & Dany Lang, 2020. "Bet against the trend and cash in profits," Working Papers halshs-02956879, HAL.
    18. Patrick Mellacher, 2021. "Growth, Inequality and Declining Business Dynamism in a Unified Schumpeter Mark I + II Model," Papers 2111.09407, arXiv.org, revised Nov 2023.
    19. Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Nørvang Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Thomas Theobald & Achim , 2016. "The Elusive Recovery," SciencePo Working papers Main hal-03612850, HAL.
      • Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Nørvang Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Thomas Theobald & Achim , 2016. "The Elusive Recovery," PSE Working Papers hal-03612850, HAL.
      • Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Nørvang Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Achim Truger & Andrew Wa, 2016. "The Elusive Recovery," Post-Print hal-03459084, HAL.
      • Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Nørvang Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Thomas Theobald & Achim , 2016. "The Elusive Recovery," Working Papers hal-03612850, HAL.
      • Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Nørvang Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Achim Truger & Andrew Wa, 2016. "The Elusive Recovery," PSE-Ecole d'économie de Paris (Postprint) hal-03459084, HAL.
      • Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Nørvang Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Thomas Theobald & Achim , 2016. "The Elusive Recovery," PSE-Ecole d'économie de Paris (Postprint) hal-03612850, HAL.
      • Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Nørvang Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Achim Truger & Andrew Wa, 2016. "The Elusive Recovery," SciencePo Working papers Main hal-03459084, HAL.
    20. Magacho, Guilherme R. & Spinola, Danilo, 2020. "Supply and demand in Kaldorian growth models: a proposal for dynamic adjustment," MERIT Working Papers 2020-032, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    21. Fanti, Lucrezia, 2018. "An AB-SFC Model of Induced Technical Change along Classical and Keynesian Lines," MPRA Paper 86929, University Library of Munich, Germany.
    22. Taberna, Alessandro & Filatova, Tatiana & Roventini, Andrea & Lamperti, Francesco, 2022. "Coping with increasing tides: Evolving agglomeration dynamics and technological change under exacerbating hazards," Ecological Economics, Elsevier, vol. 202(C).
    23. Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Thomas Theobald & Achim Truger &, 2016. "Inequality and sustainability in a healing and fragmented European Union: Chapter 2," Sciences Po publications info:hdl:2441/6nf97io14q9, Sciences Po.
    24. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    25. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    26. Yannis Dafermos & Maria Nikolaidi, 2021. "How can green differentiated capital requirements affect climate risks? A dynamic macrofinancial analysis," Working Papers PKWP2105, Post Keynesian Economics Society (PKES).
    27. Otto, Christian & Willner, Sven Norman & Wenz, Leonie & Frieler, Katja & Levermann, Anders, 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," OSF Preprints 7yyhd, Center for Open Science.
    28. Marko Petrovic & Bulent Ozel & Andrea Teglio & Marco Raberto & Silvano Cincotti, 2017. "Eurace Open: An agent-based multi-country model," Working Papers 2017/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    29. Siyan Chen & Saul Desiderio, 2023. "An agent-based framework for the analysis of the macroeconomic effects of population aging," Journal of Evolutionary Economics, Springer, vol. 33(2), pages 393-427, April.
    30. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    31. Adrian Carro & Marc Hinterschweiger & Arzu Uluc & J Doyne Farmer, 2023. "Heterogeneous effects and spillovers of macroprudential policy in an agent-based model of the UK housing market," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(2), pages 386-432.
    32. Sylvain Barde, 2019. "Macroeconomic simulation comparison with a multivariate extension of the Markov Information Criterion," Studies in Economics 1908, School of Economics, University of Kent.
    33. Sylvain Barde, 2022. "Bayesian Estimation of Large-Scale Simulation Models with Gaussian Process Regression Surrogates," Studies in Economics 2203, School of Economics, University of Kent.
    34. Marko Petrovic & Andrea Teglio & Simone Alfarano, 2016. "The role of bank credit allocation: Evidence from the Spanish economy," Working Papers 2016/17, Economics Department, Universitat Jaume I, Castellón (Spain).
    35. Brini, Alessio & Tedeschi, Gabriele & Tantari, Daniele, 2023. "Reinforcement learning policy recommendation for interbank network stability," Journal of Financial Stability, Elsevier, vol. 67(C).
    36. Luca Eduardo Fierro & Federico Giri & Alberto Russo, 2023. "Inequality-Constrained Monetary Policy in a Financialized Economy," Working Papers 2023/02, Economics Department, Universitat Jaume I, Castellón (Spain).
    37. Corrado Di Guilmi, 2017. "The Agent†Based Approach To Post Keynesian Macro†Modeling," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1183-1203, December.
    38. Emanuele Ciola & Enrico Turco & Andrea Gurgone & Davide Bazzana & Sergio Vergalli & Francesco Menoncin, 2022. "Charging the macroeconomy with an energy sector: an agent-based model," Working Papers 2022.09, Fondazione Eni Enrico Mattei.
    39. Bauermann, Tom & Roos, Michael W. M. & Schaff, Frederik, 2020. "POSA: Policy implementation sensitivity analysis," Ruhr Economic Papers 854, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    40. Federico Bassi & Raquel Ramos & Dany Lang, 2023. "Bet against the trend and cash in profits: An agent-based model of endogenous fluctuations of exchange rates," Journal of Evolutionary Economics, Springer, vol. 33(2), pages 429-472, April.
    41. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni & Tania Treibich, 2021. "Three green financial policies to address climate risks," Post-Print hal-04103920, HAL.
    42. Oliver Richters, 2020. "Modeling the out-of-equilibrium dynamics of bounded rationality and economic constraints," Working Papers V-429-20, University of Oldenburg, Department of Economics, revised Mar 2020.
    43. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    44. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "The Effects of Labour Market Reforms upon Unemployment and Income Inequalities: an Agent Based Model," Working Papers hal-03459264, HAL.
    45. Tommaso Ciarli & Andre Lorentz & Marco Valente & Mario Savona, 2017. "Structural Changes and Growth Regimes," SPRU Working Paper Series 2017-12, SPRU - Science Policy Research Unit, University of Sussex Business School.
    46. Gao, Lin, 2017. "Between Trust and Performance: Exploring Socio-Economic Mechanisms on Directed Weighted Regular Ring with Agent-Based Modeling," MPRA Paper 78428, University Library of Munich, Germany.
    47. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    48. Xiong, Wanting & Wang, Yougui, 2017. "The impact of Basel III on money creation: A synthetic analysis," Economics Discussion Papers 2017-53, Kiel Institute for the World Economy (IfW Kiel).
    49. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2022. "Energy price shocks and stabilization policies in a multi-agent macroeconomic model for the Euro Area," FEEM Working Papers 324171, Fondazione Eni Enrico Mattei (FEEM).
    50. Schasfoort, Joeri & Godin, Antoine & Bezemer, Dirk & Caiani, Alessandro & Kinsella, Stephen, 2017. "Monetary Policy Transmission in a Macroeconomic Agent-Based Model," Research Report 17010-GEM, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    51. Meijers H. & Nomaler Z.O. & Verspagen B., 2014. "Demand, credit and macroeconomic dynamics: A microsimulation model," MERIT Working Papers 2014-047, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    52. Otto, C. & Willner, S.N. & Wenz, L. & Frieler, K. & Levermann, A., 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 232-269.
    53. Xiong, Wanting & Wang, Yougui, 2022. "A reformulation of the bank lending channel under multiple prudential regulations," Economic Modelling, Elsevier, vol. 114(C).
    54. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2019. "Winter is possibly not coming: mitigating financial instability in an agent-based model with interbank market," SciencePo Working papers Main hal-03403274, HAL.
    55. Salle, Isabelle & Seppecher, Pascal, 2018. "Stabilizing an unstable complex economy on the limitations of simple rules," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 289-317.
    56. Dosi, Giovanni & Pereira, Marcelo C. & Roventini, Andrea & Virgillito, Maria Enrica, 2017. "Causes and Consequences of Hysteresis: Aggregate Demand, Productivity and Employment," GLO Discussion Paper Series 64, Global Labor Organization (GLO).
    57. Bernhard Schuetz, 2022. "Investment booms, diverging competitiveness and wage growth within a monetary union: An AB-SFC model," ICAE Working Papers 138, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    58. Li, Boyao & Wang, Yougui, 2020. "Money creation within the macroeconomy: An integrated model of banking," International Review of Financial Analysis, Elsevier, vol. 71(C).
    59. Rengs, Bernhard & Scholz-Waeckerle, Manuel, 2017. "Consumption & Class in Evolutionary Macroeconomics," MPRA Paper 80021, University Library of Munich, Germany.
    60. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2023. "Energy price shocks and stabilization policies in the MATRIX model," Energy Policy, Elsevier, vol. 177(C).
    61. Carlos Madeira, 2019. "Measuring the Covariance Risk of Consumer Debt Portfolios," 2019 Meeting Papers 240, Society for Economic Dynamics.
    62. Andrea Vandin & Daniele Giachini & Francesco Lamperti & Francesca Chiaromonte, 2021. "Automated and Distributed Statistical Analysis of Economic Agent-Based Models," Papers 2102.05405, arXiv.org, revised Nov 2023.
    63. Severin Reissl, 2022. "Fiscal multipliers, expectations and learning in a macroeconomic agent‐based model," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1704-1729, October.
    64. Alessia Cafferata & Marwil J. Dávila-Fernández & Serena Sordi, 2021. "(Ir)rational explorers in the financial jungle," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1157-1188, September.
    65. Chen, Siyan & Desiderio, Saul, 2019. "Job duration and inequality," Economics Discussion Papers 2019-44, Kiel Institute for the World Economy (IfW Kiel).
    66. Dunz, Nepomuk & Hrast Essenfelder, Arthur & Mazzocchetti, Andrea & Monasterolo, Irene & Raberto, Marco, 2023. "Compounding COVID-19 and climate risks: The interplay of banks’ lending and government’s policy in the shock recovery," Journal of Banking & Finance, Elsevier, vol. 152(C).
    67. Guilmi, Corrado Di & Fujiwara, Yoshi, 2022. "Dual labor market, financial fragility, and deflation in an agent-based model of the Japanese macroeconomy," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 346-371.
    68. Lena Gerdes & Bernhard Rengs & Manuel Scholz-Wäckerle, 2022. "Labor and environment in global value chains: an evolutionary policy study with a three-sector and two-region agent-based macroeconomic model," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 123-173, January.
    69. Russo, Emanuele & Foster-McGregor, Neil & Verspagen, Bart, 2019. "Characterizing growth instability: new evidence on unit roots and structural breaks in long run time series," MERIT Working Papers 2019-026, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    70. Gennaro Zezza & Michalis Nikiforos, 2017. "Stock-flow Consistent Macroeconomic Models: A Survey," EcoMod2017 10762, EcoMod.
    71. Nikolaidi, Maria, 2017. "Three decades of modelling Minsky: what we have learned and the way forward," Greenwich Papers in Political Economy 17509, University of Greenwich, Greenwich Political Economy Research Centre.
    72. Dafermos, Yannis & Nikolaidi, Maria & Galanis, Giorgos, 2018. "Climate change, financial stability and monetary policy," Greenwich Papers in Political Economy 19966, University of Greenwich, Greenwich Political Economy Research Centre.
    73. Shiono, Takashi, 2021. "Estimation of agent-based models using Bayesian deep learning approach of BayesFlow," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
    74. Carolina Mattsson, 2019. "Networks of monetary flow at native resolution," Papers 1910.05596, arXiv.org.
    75. Aur'elien Hazan, 2017. "Stock-flow consistent macroeconomic model with nonuniform distributional constraint," Papers 1708.00645, arXiv.org.
    76. Fontana, Giuseppe & Veronese Passarella, Marco, 2020. "Unconventional monetary policies from conventional theories: Modern lessons for central bankers," Journal of Policy Modeling, Elsevier, vol. 42(3), pages 503-519.
    77. Rosa Canelli & Riccardo Realfonzo & Francesco Zezza, 2022. "An empirical Stock‐Flow Consistent regional model of Campania," Papers in Regional Science, Wiley Blackwell, vol. 101(1), pages 209-257, February.
    78. Andrea Mazzocchetti & Eliana Lauretta & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2020. "Systemic financial risk indicators and securitised assets: an agent-based framework," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 9-47, January.
    79. Ponomarenko, Alexey A. & Ponomarenko, Alexey N., 2018. "What do aggregate saving rates (not) show?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-20.
    80. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2016. "An agent-based stock-flow consistent model of the sustainable transition in the energy sector," MPRA Paper 73183, University Library of Munich, Germany.
    81. Stef Kuypers & Thomas Goorden & Bruno Delepierre, 2021. "Computational Analysis of the Properties of Post-Keynesian Endogenous Money Systems," JRFM, MDPI, vol. 14(7), pages 1-25, July.
    82. D'Orazio, Paola, 2019. "Income inequality, consumer debt, and prudential regulation: An agent-based approach to study the emergence of crises and financial instability," Economic Modelling, Elsevier, vol. 82(C), pages 308-331.
    83. Thibault Laurentjoye, 2022. "Foreign exchange reserves, imperfect substitutability of financial assets and the monetary policy quadrilemma," Working Papers PKWP2222, Post Keynesian Economics Society (PKES).
    84. Alessandro Caiani & Ermanno Catullo, 2023. "Fiscal Transfers and Common Debt in a Monetary Union: A Multi-Country Agent Based-Stock Flow Consistent Model," LEM Papers Series 2023/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    85. Brandon Shapiro & Andrew Crooks, 2023. "Drone strikes and radicalization: an exploration utilizing agent-based modeling and data applied to Pakistan," Computational and Mathematical Organization Theory, Springer, vol. 29(3), pages 415-433, September.
    86. Deryugina, Elena & Ponomarenko, Alexey & Rozhkova, Anna, 2020. "When are credit gap estimates reliable?," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 221-238.
    87. Emanuele Russo, 2017. "Harrodian instability in decentralized economies: an agent-based approach," LEM Papers Series 2017/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    88. Sercin Sahin, 2021. "Consumer confidence, consumption, and macroeconomic fluctuations: A systemic stock‐flow consistent model," Metroeconomica, Wiley Blackwell, vol. 72(4), pages 868-904, November.
    89. Luzius Meisser, 2017. "The Code is the Model," International Journal of Microsimulation, International Microsimulation Association, vol. 10(3), pages 184-201.
    90. Lorenzo Di Domenico, 2021. "Multiplicity and not necessarily heterogeneity: implications for the long-run degree of capacity utilization," Working Papers PKWP2116, Post Keynesian Economics Society (PKES).
    91. Andrea Borsato, 2021. "Simple Matching Protocols for Agent-based Models," Working Papers of BETA 2021-35, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    92. Papadopoulos, Georgios, 2019. "Income inequality, consumption, credit and credit risk in a data-driven agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 104(C), pages 39-73.
    93. Andrea Borsato, 2021. "An Agent-based Model for Secular Stagnation in the USA: Theory and Empirical Evidence," LEM Papers Series 2021/09, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    94. Isabelle Salle & Pascal Seppecher, 2017. "Stabilizing an Unstable Complex Economy," CEPN Working Papers hal-01527740, HAL.
    95. Giovanni Dosi & Andrea Roventini, 2019. "More is different ... and complex! the case for agent-based macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 1-37, March.
    96. Nathalie Lazaric & Silvano Cincotti & Wolfram Elsner & Anastasia Nesvetailova & Engelbert Stockhammer, 2020. "Towards an evolutionary political economy. Editorial to the inaugural issue of the Review of Evolutionary Political Economy REPE," Post-Print halshs-03000271, HAL.
    97. Caner Ates & Dietmar Maringer, 2021. "A Parsimonious Macroeconomic ABM for Labor Market Regulations," LEM Papers Series 2021/46, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    98. Branimir Jovanović & Michael Landesmann & Oliver Reiter & Bernhard Schütz, 2023. "Structural Change, Income Distribution and Unemployment Related to COVID-19: An Agent-based Model," wiiw Working Papers 223, The Vienna Institute for International Economic Studies, wiiw.
    99. Rzeszutek, Marcin & Godin, Antoine & Szyszka, Adam & Augier, Stanislas, 2020. "Managerial overconfidence in initial public offering decisions and its impact on macrodynamics and financial stability: Analysis using an agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 118(C).
    100. Bernhard Rengs & Manuel Scholz-Wäckerle, 2019. "Consumption & class in evolutionary macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 229-263, March.
    101. Reissl, Severin, 2020. "Minsky from the bottom up – Formalising the two-price model of investment in a simple agent-based framework," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 109-142.
    102. Claudius Graebner & Wolfram Elsner & Alexander Lascaux, 2017. "To trust or to control: Informal value transfer systems and computational analysis in institutional economics," ICAE Working Papers 74, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    103. Carbajal-De-Nova, Carolina & Venegas-Martínez, Francisco, 2019. "On the paradigm shift of asset pricing models, before and after the global financial crisis: a literature review," Panorama Económico, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 15(29), pages 7-38, Primer se.
    104. Sebastiaan Tieleman, 2022. "Towards a Validation Methodology for Macroeconomic Agent-Based Models," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1507-1527, December.
    105. Tobias Buchmann & Patrick Wolf & Stefan Fidaschek, 2021. "Stimulating E-Mobility Diffusion in Germany (EMOSIM): An Agent-Based Simulation Approach," Energies, MDPI, vol. 14(3), pages 1-25, January.
    106. Laura Carvalho & Corrado Di Guilmi, 2020. "Technological unemployment and income inequality: a stock-flow consistent agent-based approach," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 39-73, January.
    107. Emanuele Russo, 2021. "Harrodian instability in decentralized economies: an agent-based approach," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 539-567, July.
    108. Kuhla, Kilian & Willner, Sven N & Otto, Christian & Levermann, Anders, 2023. "Resilience of international trade to typhoon-related supply disruptions," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    109. Siyan Chen & Saul Desiderio, 2022. "Calibration of Agent-Based Models by Means of Meta-Modeling and Nonparametric Regression," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1457-1478, December.
    110. Gräbner, Claudius & Heimberger, Philipp & Kapeller, Jakob & Landesmann, Michael & Schütz, Bernhard, 2021. "The evolution of debtor-creditor relationships within a monetary union: Trade imbalances, excess reserves and economic policy," ifso working paper series 10, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    111. Glötzl, Erhard, 2022. "Macroeconomic General Constrained Dynamic models (GCD models)," MPRA Paper 112385, University Library of Munich, Germany.
    112. Pascal Seppecher & Isabelle Salle & Dany Lang, 2016. "Is the market really a good teacher ?," Post-Print hal-01314335, HAL.
    113. Marc Lavoie, 2020. "Shiozawa, Yoshinori; Morioka, Masashi; Taniguchi, Kasuhisa: Microfoundations of Evolutionary Economics," Review of Evolutionary Political Economy, Springer, vol. 1(2), pages 265-270, August.
    114. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2016. "Does Inequality Hamper Innovation and Growth?," MPRA Paper 71864, University Library of Munich, Germany.
    115. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    116. Gimet, Céline & Lagoarde-Segot, Thomas & Reyes-Ortiz, Luis, 2019. "Financialization and the macroeconomy. Theory and empirical evidence," Economic Modelling, Elsevier, vol. 81(C), pages 89-110.
    117. Harald Ulrik Sverdrup & Anna Hulda Olafsdottir, 2020. "Conceptualization and parameterization of the market price mechanism in the WORLD6 model for metals, materials, and fossil fuels," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 33(3), pages 285-310, October.
    118. Rengs, Bernhard & Scholz-Wäckerle, Manuel & van den Bergh, Jeroen, 2020. "Evolutionary macroeconomic assessment of employment and innovation impacts of climate policy packages," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 332-368.
    119. Rzeszutek Marcin & Szyszka Adam & Okoń Szymon, 2023. "Behavioral biases in corporate risk management and investment decisions during the COVID-19 pandemic in Poland," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 59(1), pages 70-76, March.
    120. Vandin, Andrea & Giachini, Daniele & Lamperti, Francesco & Chiaromonte, Francesca, 2022. "Automated and distributed statistical analysis of economic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    121. João Silvestre & Tanya Araújo & Miguel St. Aubyn, 2019. "Individual Satisfaction and Economic Growth in an Agent-Based Economy," Computational Economics, Springer;Society for Computational Economics, vol. 54(3), pages 893-903, October.
    122. Adriano dos Reis M. Laureno Oliveira & Gilberto Tadeu Lima, Laura Carvalho, 2018. "Of Fairies and Governments: An ABM Evaluation of the Expansionary Austerity Hypothesis," Working Papers, Department of Economics 2018_13, University of São Paulo (FEA-USP).
    123. Giraud, Gaël & Grasselli, Matheus, 2021. "Household debt: The missing link between inequality and secular stagnation," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 901-927.
    124. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.
    125. Rémi Stellian & Gabriel I. Penagos & Jenny P. Danna-Buitrago, 2021. "Firms in financial distress: evidence from inter-firm payment networks with volatility driven by ‘animal spirits’," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 59-101, January.
    126. Alessandro Caiani & Alberto Russo & Mauro Gallegati, 2019. "Does inequality hamper innovation and growth? An AB-SFC analysis," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 177-228, March.
    127. Xavier Timbeau & Signe Dahl & Georg Feigl & Xavier Timbeau & Xavier Timbeau & Andrew Watt, 2016. "The Elusive Recovery. Independent Annual Growth Survey (iAGS) 2017," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 164, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    128. Andrew G. Haldane & Arthur E. Turrell, 2019. "Drawing on different disciplines: macroeconomic agent-based models," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 39-66, March.
    129. Domenico Delli Gatti & Severin Reissl & Enrico Turco, 2021. "V for Vaccines and Variants," CESifo Working Paper Series 9291, CESifo.
    130. Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Thomas Theobald & Achim Truger &, 2016. "Macro economic trade-offs in the euro area: Chapter 4," Sciences Po publications info:hdl:2441/1hgg8g0cu68, Sciences Po.
      • Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Thomas Theobald & Achim Truger &, 2016. "The Elusive Recovery: iAGS 2017," Sciences Po publications info:hdl:2441/55823teuik9, Sciences Po.
    131. Catullo, Ermanno & Gallegati, Mauro, 2015. "Multi-country decentralized agent based model: Macroeconomic dynamics and vulnerability in a simplified currency union," FinMaP-Working Papers 50, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    132. Yi Zhang & Zhe Li & Yongchao Zhang, 2020. "Validation and Calibration of an Agent-Based Model: A Surrogate Approach," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-9, January.
    133. Chen, Siyan & Desiderio, Saul, 2018. "Computational evidence on the distributive properties of monetary policy," Economics Discussion Papers 2018-38, Kiel Institute for the World Economy (IfW Kiel).
    134. Papadopoulos, Georgios, 2020. "Probing the mechanism: lending rate setting in a data-driven agent-based model," MPRA Paper 102749, University Library of Munich, Germany.
    135. Lamperti, Francesco, 2018. "An information theoretic criterion for empirical validation of simulation models," Econometrics and Statistics, Elsevier, vol. 5(C), pages 83-106.
    136. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2016. "From financial instability to green finance: the role of banking and monetary policies in the Eurace model," Working Papers 2016/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    137. Antoine GODIN & Sakir-Devrim YILMAZ, 2020. "Modelling Small Open Developing Economies in a Financialized World: A Stock-Flow Consistent Prototype Growth Model," Working Paper 5eb7e0e8-560f-4ce6-91a5-5, Agence française de développement.
    138. Gianfranco Giulioni & Marcello Silvestri & Edgardo Bucciarelli, 2017. "Firms’ Finance in an Experimentally Microfounded Agent-Based Macroeconomic Model," Metroeconomica, Wiley Blackwell, vol. 68(2), pages 259-320, May.
    139. Patrick Mellacher & Timon Scheuer, 2021. "Wage Inequality, Labor Market Polarization and Skill-Biased Technological Change: An Evolutionary (Agent-Based) Approach," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 233-278, August.
    140. Gurgone, Andrea & Iori, Giulia & Jafarey, Saqib, 2018. "The effects of interbank networks on efficiency and stability in a macroeconomic agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 257-288.
    141. Michael S. Harr'e, 2018. "Multi-agent Economics and the Emergence of Critical Markets," Papers 1809.01332, arXiv.org.
    142. Kristóf Lehmann & Olivér Nagy & Zoltán Szalai & Balázs H. Váradi, 2020. "Coordination(?) between Branches of Economic Policy across Euro Area," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 19(1), pages 37-64.
    143. Bhattarai, Keshab & Mallick, Sushanta K. & Yang, Bo, 2021. "Are global spillovers complementary or competitive? Need for international policy coordination," Journal of International Money and Finance, Elsevier, vol. 110(C).
    144. Yang, Xiaoliang & Zhou, Peng, 2022. "Wealth inequality and social mobility: A simulation-based modelling approach," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 307-329.
    145. Zabavnik, Darja & Verbič, Miroslav, 2021. "Relationship between the financial and the real economy: A bibliometric analysis," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 55-75.
    146. Xiong, Wanting & Wang, Yougui, 2018. "The impact of Basel III on money creation: A synthetic theoretical analysis," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-34.
    147. Ramis Khabibullin & Alexey Ponomarenko & Sergei Seleznev, 2018. "Forecasting the implications of foreign exchange reserve accumulation with an agent-based model," Bank of Russia Working Paper Series wps37, Bank of Russia.
    148. Emanuele Russo & Neil Foster-McGregor, 2022. "Characterizing growth instability: new evidence on unit roots and structural breaks in countries’ long run trajectories," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 713-756, April.
    149. Andrea Borsato & Andre Lorentz, 2023. "Open Science vs. Mission-oriented Policies and the Long-run Dynamics of Integrated Economies: An Agent-based Model with a Kaldorian Flavour," Working Papers of BETA 2023-17, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    150. Irene Monasterolo, 2020. "Embedding Finance in the Macroeconomics of Climate Change: Research Challenges and Opportunities Ahead," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(04), pages 25-32, November.
    151. Kinsella, Stephen, 2019. "Visualising economic crises using accounting models," Accounting, Organizations and Society, Elsevier, vol. 75(C), pages 1-16.
    152. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2023. "Back to the future: Agent-based modelling and dynamic microsimulation," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA8/23, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    153. Severin Reissl, 2021. "Heterogeneous expectations, forecasting behaviour and policy experiments in a hybrid Agent-based Stock-flow-consistent model," Journal of Evolutionary Economics, Springer, vol. 31(1), pages 251-299, January.
    154. Alessia Cafferata & Marwil J. Dávila-Fernández & Serena Sordi, 2020. "(Ir)rational explorers in the financial jungle: modelling Minsky with heterogeneous agents," Department of Economics University of Siena 819, Department of Economics, University of Siena.
    155. Michalis Nikiforos & Gennaro Zezza, 2017. "Stock†Flow Consistent Macroeconomic Models: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1204-1239, December.
    156. Lucrezia Fanti, 2021. "‘Kaldor Facts’ and the decline of Wage Share: An agent based-stock flow consistent model of induced technical change along Classical and Keynesian lines," Journal of Evolutionary Economics, Springer, vol. 31(2), pages 379-415, April.
    157. Ítalo Pedrosa & Dany Lang, 2021. "To what extent does aggregate leverage determine financial fragility? New insights from an agent-based stock-flow consistent model," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1221-1275, September.
    158. Xu, Hai-Chuan & Zhang, Wei & Xiong, Xiong & Wang, Xue & Zhou, Wei-Xing, 2021. "The double-edged role of social learning: Flash crash and lower total volatility," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 405-420.
    159. Deborah Noguera & Gabriel Montes-Rojas, 2022. "Credit-constrained fluctuations and uncertainty in a network economy," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(80), pages 5-52, November.
    160. Sander Hoog, 2018. "The Limits to Credit Growth: Mitigation Policies and Macroprudential Regulations to Foster Macrofinancial Stability and Sustainable Debt," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 873-920, October.
    161. Paulo Cesar Schotten & Danielle Costa Morais, 2019. "A group decision model for credit granting in the financial market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-19, December.
    162. Patrick Mellacher, 2020. "COVID-Town: An Integrated Economic-Epidemiological Agent-Based Model," Papers 2011.06289, arXiv.org.
    163. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.
    164. Caiani, Alessandro & Catullo, Ermanno & Gallegati, Mauro, 2019. "The effects of alternative wage regimes in a monetary union: A multi-country agent based-stock flow consistent model," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 389-416.

  39. Ilker Arslan & Eugenio Caverzasi & Mauro Gallegati & Alper Duman, 2016. "Long Term Impacts of Bank Behavior on Financial Stability. an Agent Based Modeling Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(1), pages 1-11.

    Cited by:

    1. Wenchong Chen & Hongwei Liu & Dan Xu, 2018. "Dynamic Pricing Strategies for Perishable Product in a Competitive Multi-Agent Retailers Market," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(2), pages 1-12.
    2. Valentina Y. Guleva & Klavdiya O. Bochenina & Maria V. Skvorcova & Alexander V. Boukhanovsky, 2017. "A Simulation Tool for Exploring the Evolution of Temporal Interbank Networks," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(4), pages 1-15.

  40. Maggioni, Daniela & Lo Turco, Alessia & Gallegati, Mauro, 2016. "Does product complexity matter for firms' output volatility?," Journal of Development Economics, Elsevier, vol. 121(C), pages 94-109.

    Cited by:

    1. Guan, Shu & Cheng, Liwei, 2020. "Does product complexity matter for firms' TFP?," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    2. Gnangnon, Sèna Kimm, 2023. "The Quality of Aid for Trade Flows and Economic Complexity," EconStor Preprints 271538, ZBW - Leibniz Information Centre for Economics.
    3. Giacomo Domini, 2019. "Patterns of specialisation and economic complexity through the lens of universal exhibitions, 1855-1900," LEM Papers Series 2019/20, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Gomez-Gonzalez, Jose E. & Uribe, Jorge M. & Valencia, Oscar M., 2023. "Does economic complexity reduce the probability of a fiscal crisis?," World Development, Elsevier, vol. 168(C).
    5. Alberto BUCCI & Lorenzo CARBONARI & Giovanni TROVATO, 2017. "Variety, Competition, and Population in Economic Growth: Theory and Empirics," Departmental Working Papers 2017-06, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    6. Gnangnon, Sèna Kimm, 2022. "Effect of the utilization of non-reciprocal trade preferences offered by the QUAD countries on beneficiary countries' economic complexity," Journal of the Japanese and International Economies, Elsevier, vol. 65(C).
    7. Sèna Kimm Gnangnon, 2020. "Export product diversification and tax performance quality in developing countries," International Economics and Economic Policy, Springer, vol. 17(4), pages 849-876, October.
    8. Barbaros Güneri & A. Yasemin Yalta, 2021. "Does economic complexity reduce output volatility in developing countries?," Bulletin of Economic Research, Wiley Blackwell, vol. 73(3), pages 411-431, July.
    9. Naima Chrid & Sami Saafi & Mohamed Chakroun, 2021. "Export Upgrading and Economic Growth: a Panel Cointegration and Causality Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 811-841, June.
    10. Hua Zhou & Jiachen Fan, 2023. "Export structure, import demand elasticity and export stability," The World Economy, Wiley Blackwell, vol. 46(3), pages 758-790, March.
    11. Xiaoping Li & Shuzhou Peng & Wei‐Chiao Huang & Qian Zhou, 2022. "What Drives Chinese Firms' Export Sophistication? A Perspective from the Rise of Minimum Wages," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(2), pages 28-59, March.
    12. Jose E. Gomez-Gonzalez & Jorge M. Uribe & Oscar M. Valencia, 2023. "Sovereign Risk and Economic Complexity: Machine Learning Insights on Causality and Prediction," IREA Working Papers 202315, University of Barcelona, Research Institute of Applied Economics, revised Nov 2023.
    13. Gnangnon, Sèna Kimm, 2023. "Effect of the duration of membership in the GATT/WTO on economic growth volatility," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 448-467.
    14. Sèna Kimm Gnangnon, 2021. "Aid for trade and inflation: Exploring the trade openness, export product diversification and foreign direct investment channels," Australian Economic Papers, Wiley Blackwell, vol. 60(4), pages 563-593, December.
    15. Gnangnon, Sèna Kimm, 2022. "Effect of the Duration of Membership in the GATT/WTO on Human Development in Developed and Developing Countries," EconStor Preprints 265061, ZBW - Leibniz Information Centre for Economics.
    16. Gomez-Gonzalez, Jose E. & Uribe, Jorge M. & Valencia, Oscar, 2024. "Sovereign Risk and Economic Complexity," IDB Publications (Working Papers) 13393, Inter-American Development Bank.
    17. Gnangnon, Sèna Kimm, 2021. "Do Unilateral Trade Preferences Help Reduce Poverty in Beneficiary Countries?," EconStor Preprints 247346, ZBW - Leibniz Information Centre for Economics.
    18. Kamguia, Brice & Tadadjeu, Sosson & Miamo, Clovis & Njangang, Henri, 2022. "Does foreign aid impede economic complexity in developing countries?," International Economics, Elsevier, vol. 169(C), pages 71-88.
    19. Trinh, Vu Quang & Nguyen, Anh Thi Quynh & Vo, Xuan Vinh, 2022. "Export quality upgrading and environmental sustainability: Evidence from the East Asia and Pacific Region," Research in International Business and Finance, Elsevier, vol. 60(C).
    20. Saafi Sami & Nouira Ridha, 2018. "Re-Examining the Relationship Between Export Upgrading and Economic Growth: Is there a Threshold Effect?," The Economic and Social Review, Economic and Social Studies, vol. 49(4), pages 437-454.
    21. Sena Kimm Gnangnon, 2021. "Economic complexity and poverty in developing countries," Economic Affairs, Wiley Blackwell, vol. 41(3), pages 416-429, October.
    22. Sèna Kimm Gnangnon, 2023. "Do unilateral trade preferences help reduce poverty in beneficiary countries?," International Journal of Economic Policy Studies, Springer, vol. 17(1), pages 249-288, February.
    23. Sena KIMM Gnangnon, 2020. "Export Product Diversification and Fiscal Space Volatility in Developing Countries: Exploring the Economic Growth Volatility Channel," Economics Bulletin, AccessEcon, vol. 40(3), pages 1837-1854.

  41. Alberto Russo & Luca Riccetti & Mauro Gallegati, 2016. "Increasing inequality, consumer credit and financial fragility in an agent based macroeconomic model," Journal of Evolutionary Economics, Springer, vol. 26(1), pages 25-47, March.

    Cited by:

    1. Alessandro Taberna & Tatiana Filatova & Andrea Roventini & Francesco Lamperti, 2021. "Coping with increasing tides: technological change, agglomeration dynamics and climate hazards in an agent-based evolutionary model," LEM Papers Series 2021/44, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2018. "What if supply-side policies are not enough ? The perverse interaction of flexibility and austerity," SciencePo Working papers Main hal-03458460, HAL.
    3. Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2017. "Inequality, Redistributive Policies and Multiplier Dynamics in an Agent-Based Model with Credit Rationing," LEM Papers Series 2017/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    5. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "When more Flexibility Yields more Fragility: the Microfoundations of Keynesian Aggregate Unemployment," LEM Papers Series 2016/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    7. Botta, Alberto & Caverzasi, Eugenio & Russo, Alberto & Gallegati, Mauro & Stiglitz, Joseph E., 2018. "Inequality and finance in a rent economy," Greenwich Papers in Political Economy 20377, University of Greenwich, Greenwich Political Economy Research Centre.
    8. Dawid, Herbert & Harting, Philipp & Neugart, Michael & Hoog, Sander van der, 2019. "Macroeconomics with heterogeneous agent models: fostering transparency, reproducibility and replication," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 113126, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    9. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2020. "Are Higher Wages Good For Business? An Assessment Under Alternative Innovation And Investment Scenarios," Macroeconomic Dynamics, Cambridge University Press, vol. 24(1), pages 191-230, January.
    10. Taberna, Alessandro & Filatova, Tatiana & Roventini, Andrea & Lamperti, Francesco, 2022. "Coping with increasing tides: Evolving agglomeration dynamics and technological change under exacerbating hazards," Ecological Economics, Elsevier, vol. 202(C).
    11. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    12. Alberto Cardaci & Francesco Saraceno, 2017. "Inequality and Imbalances : a Monetary Union Agent-Based Model," Sciences Po publications 30, Sciences Po.
    13. Zakaria Babutsidze & Maurizio Iacopetta, 2016. "Innovation, growth and financial market," Sciences Po publications info:hdl:2441/258fqttgag8, Sciences Po.
    14. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    15. Herbert Dawid & Philipp Harting & Michael Neugart, 2014. "Cohesion Policy and Inequality Dynamics: Insights from a Heterogeneous Agents Macroeconomic Model," Gecomplexity Discussion Paper Series 5, Action IS1104 "The EU in the new complex geography of economic systems: models, tools and policy evaluation", revised Apr 2014.
    16. Russo, Alberto, 2017. "Dopo il keynesismo: teorie economiche per una (non-) politica economica [After Keynesianism: Economic Theories for a (non) Economic Policy]," MPRA Paper 83346, University Library of Munich, Germany.
    17. Corrado Di Guilmi, 2017. "The Agent†Based Approach To Post Keynesian Macro†Modeling," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1183-1203, December.
    18. Alberto Botta & Eugenio Caverzasi & Alberto Russo, 2019. "When complexity meets finance: A contribution to the study of the macroeconomic effects of complex financial systems," Working Papers PKWP1909, Post Keynesian Economics Society (PKES).
    19. Tinghui Li & Junhao Zhong & Mark Xu, 2019. "Does the Credit Cycle Have an Impact on Happiness?," IJERPH, MDPI, vol. 17(1), pages 1-19, December.
    20. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    21. Tommaso Ciarli & Andre Lorentz & Marco Valente & Mario Savona, 2017. "Structural Changes and Growth Regimes," SPRU Working Paper Series 2017-12, SPRU - Science Policy Research Unit, University of Sussex Business School.
    22. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    23. Cardaci, Alberto, 2018. "Inequality, household debt and financial instability: An agent-based perspective," Journal of Economic Behavior & Organization, Elsevier, vol. 149(C), pages 434-458.
    24. Alberto CARDACI & Francesco SARACENO, 2015. "Inequality, Financialisation and Economic Crises: An Agent-Based Macro Model," Departmental Working Papers 2015-21, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    25. Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2021. "An Agent-based Model of Trickle-up Growth and Income Inequality," GREDEG Working Papers 2021-29, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    26. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2019. "Winter is possibly not coming: mitigating financial instability in an agent-based model with interbank market," SciencePo Working papers Main hal-03403274, HAL.
    27. Dosi, Giovanni & Pereira, Marcelo C. & Roventini, Andrea & Virgillito, Maria Enrica, 2017. "Causes and Consequences of Hysteresis: Aggregate Demand, Productivity and Employment," GLO Discussion Paper Series 64, Global Labor Organization (GLO).
    28. Nicola Matteucci, 2018. "La crisi ed il declino italiani. Dibattito ed evidenze recenti," PRISMA Economia - Societ? - Lavoro, FrancoAngeli Editore, vol. 2018(1-2), pages 77-96.
    29. Safarzyńska, Karolina & van den Bergh, Jeroen C.J.M., 2017. "Integrated crisis-energy policy: Macro-evolutionary modelling of technology, finance and energy interactions," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 119-137.
    30. Chen, Siyan & Desiderio, Saul, 2019. "Job duration and inequality," Economics Discussion Papers 2019-44, Kiel Institute for the World Economy (IfW Kiel).
    31. Guilmi, Corrado Di & Fujiwara, Yoshi, 2022. "Dual labor market, financial fragility, and deflation in an agent-based model of the Japanese macroeconomy," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 346-371.
    32. Claudius Graebner-Radkowitsch & Anna Hornykewycz & Bernhard Schuetz, 2022. "The emergence of debt and secular stagnation in an unequal society: a stockflow consistent agent-based approach," ICAE Working Papers 135, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    33. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2016. "An agent-based stock-flow consistent model of the sustainable transition in the energy sector," MPRA Paper 73183, University Library of Munich, Germany.
    34. Alessandro Caiani & Ermanno Catullo, 2023. "Fiscal Transfers and Common Debt in a Monetary Union: A Multi-Country Agent Based-Stock Flow Consistent Model," LEM Papers Series 2023/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    35. Alberto Cardaci & Francesco Saraceno, 2015. "Inequality, Financialisation and economic crises : an agent-based model," Sciences Po publications 2015-27, Sciences Po.
    36. Alyona Nelyubina, 2022. "Monetary Policy Impact on Income Inequality in the Russian Regions," Russian Journal of Money and Finance, Bank of Russia, vol. 81(2), pages 3-19, June.
    37. Papadopoulos, Georgios, 2019. "Income inequality, consumption, credit and credit risk in a data-driven agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 104(C), pages 39-73.
    38. Alberto Cardaci & Francesco Saraceno, 2017. "Inequality and Imbalances: a Monetary Union Agent-Based Model," Working Papers hal-03455341, HAL.
    39. Mehmet Akif Destek & Bilge Koksel, 2019. "Income inequality and financial crises: evidence from the bootstrap rolling window," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-23, December.
    40. Rzeszutek, Marcin & Godin, Antoine & Szyszka, Adam & Augier, Stanislas, 2020. "Managerial overconfidence in initial public offering decisions and its impact on macrodynamics and financial stability: Analysis using an agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 118(C).
    41. A. Karayev K. & А. Караев К., 2018. "Влияние финансиализации и неравенства распределения доходов на рост экономики, инвестиционные процессы и инновации // The Impact of Financialization and Income Inequality on Economic Growth, Investmen," Экономика. Налоги. Право // Economics, taxes & law, ФГОБУ "Финансовый университет при Правительстве Российской Федерации" // Financial University under The Government of Russian Federation, vol. 11(6), pages 57-68.
    42. Laura Carvalho & Corrado Di Guilmi, 2020. "Technological unemployment and income inequality: a stock-flow consistent agent-based approach," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 39-73, January.
    43. Pascal Seppecher & Isabelle Salle & Dany Lang, 2016. "Is the market really a good teacher ?," Post-Print hal-01314335, HAL.
    44. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    45. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2016. "Does Inequality Hamper Innovation and Growth?," MPRA Paper 71864, University Library of Munich, Germany.
    46. Rengs, Bernhard & Scholz-Wäckerle, Manuel & van den Bergh, Jeroen, 2020. "Evolutionary macroeconomic assessment of employment and innovation impacts of climate policy packages," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 332-368.
    47. J. M. Applegate & Marco A. Janssen, 2022. "Job Mobility and Wealth Inequality," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 1-25, January.
    48. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.
    49. Alessandro Caiani & Alberto Russo & Mauro Gallegati, 2019. "Does inequality hamper innovation and growth? An AB-SFC analysis," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 177-228, March.
    50. Cardaci, Alberto & Saraceno, Francesco, 2016. "Inequality, Financialisation and Credit Booms - a Model of Two Crises," LEAP Working Papers 2016/2, Luiss Institute for European Analysis and Policy.
    51. Chen, Siyan & Desiderio, Saul, 2018. "Computational evidence on the distributive properties of monetary policy," Economics Discussion Papers 2018-38, Kiel Institute for the World Economy (IfW Kiel).
    52. Papadopoulos, Georgios, 2020. "Probing the mechanism: lending rate setting in a data-driven agent-based model," MPRA Paper 102749, University Library of Munich, Germany.
    53. Di Guilmi, C. & Gallegati, M. & Landini, S. & Stiglitz, J.E., 2020. "An analytical solution for network models with heterogeneous and interacting agents," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 189-220.
    54. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2016. "From financial instability to green finance: the role of banking and monetary policies in the Eurace model," Working Papers 2016/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    55. Aline B. Schuh & Pascoal José Marion Filho & Daniel Arruda Coronel, 2019. "Determinants of the Default Rate of Individual Clients in Brazil and the Role of Payroll Loans," Economics Bulletin, AccessEcon, vol. 39(1), pages 395-408.
    56. Carlos M. Fernández-Márquez & Matías Fuentes & Juan José Martínez & Francisco J. Vázquez, 2021. "Productivity and unemployment: an ABM approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 133-151, January.
    57. Alberto Cardaci & Francesco Saraceno, 2017. "Inequality and Imbalances: a Monetary Union Agent-Based Model," SciencePo Working papers Main hal-03455341, HAL.
    58. Alberto Cardaci & Francesco Saraceno, 2019. "Between Scylla And Charybdis: Income Distribution, Consumer Credit, And Business Cycles," Economic Inquiry, Western Economic Association International, vol. 57(2), pages 953-971, April.
    59. Terranova, Roberta & Turco, Enrico M., 2022. "Concentration, stagnation and inequality: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 569-595.
    60. Zhang, Minghui & He, Jianmin & Li, Shouwei, 2018. "Interbank lending, network structure and default risk contagion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 203-209.
    61. Robert Jump, 2016. "Evolutionary learning and the stability of wage posting equilibria," Journal of Evolutionary Economics, Springer, vol. 26(5), pages 1117-1135, December.
    62. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.

  42. Vitali, Stefania & Battiston, Stefano & Gallegati, Mauro, 2016. "Financial fragility and distress propagation in a network of regions," Journal of Economic Dynamics and Control, Elsevier, vol. 62(C), pages 56-75.
    See citations under working paper version above.
  43. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Stock market dynamics, leveraged network-based financial accelerator and monetary policy," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 509-524.
    See citations under working paper version above.
  44. Hideaki Aoyama & Yoshi Fujiwara & Mauro Gallegati, 2015. "Micro-macro relation of production: double scaling law for statistical physics of economy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(1), pages 67-78, April.
    See citations under working paper version above.
  45. Mandel, Antoine & Landini, Simone & Gallegati, Mauro & Gintis, Herbert, 2015. "Price dynamics, financial fragility and aggregate volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 257-277.
    See citations under working paper version above.
  46. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2015. "An agent based decentralized matching macroeconomic model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 305-332, October.
    See citations under working paper version above.
  47. Recchioni, Maria Cristina & Tedeschi, Gabriele & Gallegati, Mauro, 2015. "A calibration procedure for analyzing stock price dynamics in an agent-based framework," Journal of Economic Dynamics and Control, Elsevier, vol. 60(C), pages 1-25.
    See citations under working paper version above.
  48. Antonio Palestrini & Mauro Gallegati, 2015. "Unbiased Adaptive Expectation Schemes," Economics Bulletin, AccessEcon, vol. 35(2), pages 1185-1190.

    Cited by:

    1. Annarita COLASANTE & Antonio PALESTRINI & Alberto RUSSO & Mauro GALLEGATI, 2015. "Adaptive Expectations with Correction Bias: Evidence from the lab," Working Papers 409, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    2. Colasante, Annarita & Palestrini, Antonio & Russo, Alberto & Gallegati, Mauro, 2017. "Adaptive expectations versus rational expectations: Evidence from the lab," International Journal of Forecasting, Elsevier, vol. 33(4), pages 988-1006.
    3. Colasante, Annarita & Palestrini, Antonio & Russo, Alberto & Gallegati, Mauro, 2015. "Heterogeneous Adaptive Expectations and Coordination in a Learning-to-Forecast Experiment," MPRA Paper 66578, University Library of Munich, Germany.
    4. Fu, Jianhua & Zhang, Yongqing, 2020. "Valuation of travel time reliability: Considering the traveler's adaptive expectation with an indifference band on daily trip duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 337-353.

  49. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    See citations under working paper version above.
  50. Catullo, Ermanno & Gallegati, Mauro & Palestrini, Antonio, 2015. "Towards a credit network based early warning indicator for crises," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 78-97.

    Cited by:

    1. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    2. Matkovskyy, Roman & Bouraoui, Taoufik & Hammami, Helmi, 2016. "Analysing the financial strength of Tunisia: An approach to estimate an index of financial safety," Research in International Business and Finance, Elsevier, vol. 38(C), pages 485-493.
    3. Carlos Madeira, 2019. "Measuring the Covariance Risk of Consumer Debt Portfolios," 2019 Meeting Papers 240, Society for Economic Dynamics.
    4. Sui, Xin & Li, Liang, 2018. "Guarantee network model and risk contagion," Chaos, Solitons & Fractals, Elsevier, vol. 106(C), pages 323-329.
    5. Berardi, Simone & Tedeschi, Gabriele, 2015. "From banks' strategies to financial (in)stability," FinMaP-Working Papers 47, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    6. Hosseiny, Ali & Gallegati, Mauro, 2017. "Role of intensive and extensive variables in a soup of firms in economy to address long run prices and aggregate data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 51-59.
    7. Yuri Biondi & Feng Zhou, 2017. "Interbank Credit and the Money Manufacturing Process. A Systemic Perspective on Financial Stability," Papers 1702.08774, arXiv.org.
    8. Di Guilmi, C. & Gallegati, M. & Landini, S. & Stiglitz, J.E., 2020. "An analytical solution for network models with heterogeneous and interacting agents," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 189-220.
    9. Souza, Sergio Rubens Stancato de & Silva, Thiago Christiano & Tabak, Benjamin Miranda & Guerra, Solange Maria, 2016. "Evaluating systemic risk using bank default probabilities in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 66(C), pages 54-75.
    10. Ermanno Catullo & Antonio Palestrini & Ruggero Grilli & Mauro Gallegati, 2018. "Early warning indicators and macro-prudential policies: a credit network agent based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 81-115, April.

  51. Simone Landini & Mauro Gallegati & Joseph Stiglitz, 2015. "Economies with heterogeneous interacting learning agents," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(1), pages 91-118, April.

    Cited by:

    1. M. L. Bertotti & G. Modanese, 2016. "Mathematical models describing the effects of different tax evasion behaviors," Papers 1701.02662, arXiv.org.
    2. Sven Banisch & Eckehard Olbrich, 2017. "The Coconut Model with Heterogeneous Strategies and Learning," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-14.
    3. Antonelli, Cristiano, 2017. "From the Economics of Information to the Economics of Knowledge. Length: pages 39," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201714, University of Turin.
    4. M. L. Bertotti & G. Modanese, 2018. "Mathematical models describing the effects of different tax evasion behaviors," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 351-363, July.
    5. Özge Dilaver & Robert Jump & Paul Levine, 2016. "Agent-based Macroeconomics and Dynamic Stochastic General Equilibrium Models: Where do we go from here?," School of Economics Discussion Papers 0116, School of Economics, University of Surrey.
    6. Antonelli, Cristiano, 2017. "From the Economics of Information to the Economics of Knowledge," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201706, University of Turin.

  52. Luca Marotta & Salvatore Miccichè & Yoshi Fujiwara & Hiroshi Iyetomi & Hideaki Aoyama & Mauro Gallegati & Rosario N Mantegna, 2015. "Bank-Firm Credit Network in Japan: An Analysis of a Bipartite Network," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-18, May.
    See citations under working paper version above.
  53. Fabio Clementi & Marco Gallegati & Mauro Gallegati, 2015. "Growth and Cycles of the Italian Economy Since 1861: The New Evidence," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 1(1), pages 25-59, March.

    Cited by:

    1. Silvana Bartoletto & Bruno Chiarini & Elisabetta Marzano & Paolo Piselli, 2017. "Business Cycles, Credit Cycles, and Bank Holdings of Sovereign Bonds: Historical Evidence for Italy 1861-2013," Quaderni di storia economica (Economic History Working Papers) 43, Bank of Italy, Economic Research and International Relations Area.
    2. Claire Giordano & Francesco Zollino, 2021. "Long‐Run Factor Accumulation And Productivity Trends In Italy," Journal of Economic Surveys, Wiley Blackwell, vol. 35(3), pages 741-803, July.
    3. Mariateresa Ciommi & Andrea Gentili & Barbara Ermini & Chiara Gigliarano & Francesco M. Chelli & Mauro Gallegati, 2017. "Have Your Cake and Eat it Too: The Well-Being of the Italians (1861–2011)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(2), pages 473-509, November.

  54. Edoardo Gaffeo & Mauro Gallegati & Umberto Gostoli, 2015. "An agent-based “proof of principle” for Walrasian macroeconomic theory," Computational and Mathematical Organization Theory, Springer, vol. 21(2), pages 150-183, June.
    See citations under working paper version above.
  55. Gabriele Tedeschi & Stefania Vitali & Mauro Gallegati, 2014. "The dynamic of innovation networks: a switching model on technological change," Journal of Evolutionary Economics, Springer, vol. 24(4), pages 817-834, September.

    Cited by:

    1. Christophe Charlier & Ankinée Kirakozian, 2019. "Public policies for household recycling when reputation matters," Post-Print hal-02400989, HAL.
    2. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2023. "Enter the MATRIX model:a Multi-Agent model for Transition Risks with application to energy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    3. Na Zhao & Congcong Lei & Hui Liu & Chunlin Wu, 2022. "Improving the Effectiveness of Organisational Collaborative Innovation in Megaprojects: An Agent-Based Modelling Approach," Sustainability, MDPI, vol. 14(15), pages 1-21, July.
    4. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2023. "Energy price shocks and stabilization policies in the MATRIX model," Energy Policy, Elsevier, vol. 177(C).
    5. Mansour Naser Alraja & Faris Alshubiri & Basel M. Khashab & Mahmood Shah, 2023. "The financial access, ICT trade balance and dark and bright sides of digitalization nexus in OECD countries," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(2), pages 177-209, June.
    6. Berardi, Simone & Tedeschi, Gabriele, 2015. "From banks' strategies to financial (in)stability," FinMaP-Working Papers 47, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    7. Stefan Behfar & Ekaterina Turkina & Thierry Burger-Helmchen, 2017. "Network tie structure causing OSS group innovation and growth," Post-Print hal-02153061, HAL.
    8. Lorenzo Zirulia, 2023. "Path dependence in evolving R&D networks," Journal of Evolutionary Economics, Springer, vol. 33(1), pages 149-177, January.
    9. Colasante, Annarita, 2017. "Selection of the distributional rule as an alternative tool to foster cooperation in a Public Good Game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 482-492.
    10. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    11. Colasante, Annarita, 2016. "Evolution of Cooperation in Public Good Game," MPRA Paper 72577, University Library of Munich, Germany.

  56. Simone Landini & Mauro Gallegati, 2014. "Heterogeneity, interaction and emergence: effects of composition," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 4(3/4), pages 339-361.

    Cited by:

    1. F. Clementi & M. Gallegati, 2016. "New economic windows on income and wealth: The k-generalized family of distributions," Papers 1608.06076, arXiv.org.

  57. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.

    Cited by:

    1. Xu, Yingying, 2020. "Will energy transitions impact financial systems?," Energy, Elsevier, vol. 194(C).
    2. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    3. Recchioni, Maria Cristina & Tedeschi, Gabriele, 2017. "From bond yield to macroeconomic instability: A parsimonious affine model," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1116-1135.
    4. Huang, Chuangxia & Zhao, Xian & Deng, Yunke & Yang, Xiaoguang & Yang, Xin, 2022. "Evaluating influential nodes for the Chinese energy stocks based on jump volatility spillover network," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 81-94.
    5. Philippe Deprez & Rajat Subhra Hazra & Mario V. Wüthrich, 2015. "Inhomogeneous Long-Range Percolation for Real-Life Network Modeling," Risks, MDPI, vol. 3(1), pages 1-23, January.
    6. X. Zhang & L. D. Valdez & H. E. Stanley & L. A. Braunstein, 2019. "Modeling Risk Contagion in the Venture Capital Market: A Multilayer Network Approach," Complexity, Hindawi, vol. 2019, pages 1-11, December.
    7. Berardi, Simone & Tedeschi, Gabriele, 2015. "From banks' strategies to financial (in)stability," FinMaP-Working Papers 47, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    8. Rocco Caferra & Gabriele Tedeschi & Andrea Morone, 2023. "Agents interaction and price dynamics: evidence from the laboratory," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 251-274, April.
    9. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    10. Lorella Fatone & Francesca Mariani, 2020. "Systemic risk governance in a dynamical model of a banking system with stochastic assets and liabilities," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 183-219, January.
    11. Simone Berardi & Gabriele Tedeschi, 2016. "How banks’ strategies influence financial cycles: An approach to identifying micro behavior," Working Papers 2016/24, Economics Department, Universitat Jaume I, Castellón (Spain).
    12. Gabriele Tedeschi & Fabio Caccioli & Maria Cristina Recchioni, 2020. "Taming financial systemic risk: models, instruments and early warning indicators," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 1-7, January.
    13. Opeoluwa Banwo & Fabio Caccioli & Paul Harrald & Francesca Medda, 2016. "The Effect Of Heterogeneity On Financial Contagion Due To Overlapping Portfolios," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(08), pages 1-20, December.
    14. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.
    15. Tedeschi, Gabriele & Vidal-Tomás, David & Delli-Gatti, Domenico & Gallegati, Mauro, 2021. "The macroeconomic effects of default and debt restructuring: An agent based exploration," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 1146-1163.
    16. Gurgone, Andrea & Iori, Giulia & Jafarey, Saqib, 2018. "The effects of interbank networks on efficiency and stability in a macroeconomic agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 257-288.
    17. Emanuele Ciola & Gabriele Tedeschi, 2021. "From interaction to business fluctuations: How credit network explain cycles," Working Papers 2021/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    18. Qianqian Gao & Hong Fan, 2020. "Macroprudential regulation for a dynamic Chinese banking system with a scale-free network," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(3), pages 579-611, July.
    19. Adamuz, María de las Mercedes & Hernández Cortés, Janko, 2015. "Endogenous screening and the formation of loan syndicates," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 290-307.
    20. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    21. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.
    22. Yao, Yanzhen & Li, Jianping & Zhu, Xiaoqian & Wei, Lu, 2017. "Expected default based score for identifying systemically important banks," Economic Modelling, Elsevier, vol. 64(C), pages 589-600.
    23. Maria Cristina Recchioni & Gabriele Tedeschi, 2016. "From bond yield to macroeconomic instability: The effect of negative interest rates," Working Papers 2016/06, Economics Department, Universitat Jaume I, Castellón (Spain).

  58. Bargigli, Leonardo & Gallegati, Mauro & Riccetti, Luca & Russo, Alberto, 2014. "Network analysis and calibration of the “leveraged network-based financial accelerator”," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 109-125.

    Cited by:

    1. Gallegati, Mauro & Giammetti, Raffaele & Russo, Alberto, 2019. "Key sectors in Input-Output Production Networks: an application to Brexit," MPRA Paper 92559, University Library of Munich, Germany.
    2. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    3. Wolski, Marcin & van de Leur, Michiel, 2016. "Interbank loans, collateral and modern monetary policy," Working Paper Series 1959, European Central Bank.
    4. Gérard Ballot & Antoine Mandel & Annick Vignes, 2015. "Agent-based modeling and economic theory: where do we stand?," PSE-Ecole d'économie de Paris (Postprint) halshs-01296643, HAL.
    5. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    6. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2015. "Stock Market Dynamics, Leveraged Network-Based Financial Accelerator and Monetary Policy," MPRA Paper 63622, University Library of Munich, Germany.
    7. Yuri Biondi & Feng Zhou, 2017. "Interbank Credit and the Money Manufacturing Process. A Systemic Perspective on Financial Stability," Papers 1702.08774, arXiv.org.
    8. Paolo Tasca & Stefano Battiston, "undated". "Market Procyclicality and Systemic Risk," Working Papers ETH-RC-12-012, ETH Zurich, Chair of Systems Design.
    9. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.
    10. Andre R. Neveu, 2018. "A survey of network-based analysis and systemic risk measurement," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 241-281, July.

  59. Lunardi, José T. & Miccichè, Salvatore & Lillo, Fabrizio & Mantegna, Rosario N. & Gallegati, Mauro, 2014. "Do firms share the same functional form of their growth rate distribution? A statistical test," Journal of Economic Dynamics and Control, Elsevier, vol. 39(C), pages 140-164.

    Cited by:

    1. Arata, Yoshiyuki, 2019. "Firm growth and Laplace distribution: The importance of large jumps," Journal of Economic Dynamics and Control, Elsevier, vol. 103(C), pages 63-82.
    2. Mário Augusto & Rui Pascoal & Ana Margarida Monteiro, 2015. "Size Distribution of Portuguese Firms between 2006 and 2012," GEMF Working Papers 2015-04, GEMF, Faculty of Economics, University of Coimbra.
    3. Luca Fontanelli, 2023. "Theories of Market Selection: A Survey," GREDEG Working Papers 2023-08, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    4. Vitezić Vanja & Srhoj Stjepan & Perić Marko, 2018. "Investigating Industry Dynamics in a Recessionary Transition Economy," South East European Journal of Economics and Business, Sciendo, vol. 13(1), pages 43-67, June.
    5. Alex Coad, 2022. "Lumps, Bumps and Jumps in the Firm Growth Process," Foundations and Trends(R) in Entrepreneurship, now publishers, vol. 18(4), pages 212-267, April.

  60. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Leveraged network-based financial accelerator," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1626-1640.
    See citations under working paper version above.
  61. Stefania Vitali & Gabriele Tedeschi & Mauro Gallegati, 2013. "The impact of classes of innovators on technology, financial fragility, and economic growth," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 22(4), pages 1069-1091, August.

    Cited by:

    1. Luca Eduardo Fierro & Alessandro Caiani & Alberto Russo, 2021. "Automation, job polarisation, and structural change," Working Papers 2021/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    2. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    3. Eralba CELA & Tineke FOKKEMA & Elena AMBROSETTI, 2012. "Links Between Transnationalism Integration and Duration of Residence: The Case of eastern European Migrants in Italy," Working Papers 386, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    4. Simone LENZU & Gabriele TEDESCHI, 2012. "Systemic risk on different interbank network topologies," Working Papers 375, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    5. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    6. Alberto Russo, 2014. "A Stochastic Model of Wealth Accumulation with Class Division," Metroeconomica, Wiley Blackwell, vol. 65(1), pages 1-35, February.
    7. D’Orazio, Paola & Valente, Marco, 2019. "The role of finance in environmental innovation diffusion: An evolutionary modeling approach," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 417-439.
    8. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2016. "Does Inequality Hamper Innovation and Growth?," MPRA Paper 71864, University Library of Munich, Germany.
    9. Colasante, Annarita, 2017. "Selection of the distributional rule as an alternative tool to foster cooperation in a Public Good Game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 482-492.
    10. Gabriele Tedeschi & Stefania Vitali & Mauro Gallegati, 2014. "The dynamic of innovation networks: a switching model on technological change," Journal of Evolutionary Economics, Springer, vol. 24(4), pages 817-834, September.
    11. Alessandro STERLACCHINI, 2012. "Patent Oppositions as Competitive Tools: An Analysis of the Major Players in the European Market of White Goods," Working Papers 374, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    12. Colasante, Annarita, 2016. "Evolution of Cooperation in Public Good Game," MPRA Paper 72577, University Library of Munich, Germany.

  62. Ricetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial leverage in an agent based macroeconomic model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-44.

    Cited by:

    1. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    2. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    3. Wei Zhao & Yi Lu & Genfu Feng, 2019. "How Many Agents are Rational in China’s Economy? Evidence from a Heterogeneous Agent-Based New Keynesian Model," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 575-611, August.
    4. Michel Alexandre da Silva & Gilberto Tadeu Lima, 2015. "Combining Monetary Policy and Prudential Regulation: an agent-based modeling approach," Working Papers Series 394, Central Bank of Brazil, Research Department.
    5. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    6. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    7. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Monetary policy and large crises in a financial accelerator agent-based model," FinMaP-Working Papers 65, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    8. Rengs, Bernhard & Scholz-Waeckerle, Manuel, 2017. "Consumption & Class in Evolutionary Macroeconomics," MPRA Paper 80021, University Library of Munich, Germany.
    9. Severin Reissl, 2022. "Fiscal multipliers, expectations and learning in a macroeconomic agent‐based model," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1704-1729, October.
    10. Lena Gerdes & Bernhard Rengs & Manuel Scholz-Wäckerle, 2022. "Labor and environment in global value chains: an evolutionary policy study with a three-sector and two-region agent-based macroeconomic model," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 123-173, January.
    11. Papadopoulos, Georgios, 2019. "Income inequality, consumption, credit and credit risk in a data-driven agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 104(C), pages 39-73.
    12. Caner Ates & Dietmar Maringer, 2021. "A Parsimonious Macroeconomic ABM for Labor Market Regulations," LEM Papers Series 2021/46, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    13. Bernhard Rengs & Manuel Scholz-Wäckerle, 2019. "Consumption & class in evolutionary macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 229-263, March.
    14. Rengs, Bernhard & Scholz-Wäckerle, Manuel & van den Bergh, Jeroen, 2020. "Evolutionary macroeconomic assessment of employment and innovation impacts of climate policy packages," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 332-368.
    15. Özge Dilaver & Robert Jump & Paul Levine, 2016. "Agent-based Macroeconomics and Dynamic Stochastic General Equilibrium Models: Where do we go from here?," School of Economics Discussion Papers 0116, School of Economics, University of Surrey.
    16. Papadopoulos, Georgios, 2020. "Probing the mechanism: lending rate setting in a data-driven agent-based model," MPRA Paper 102749, University Library of Munich, Germany.
    17. Kurt Kratena, 2015. "Thematic Report: Macroeconomic Models Including Specifically Social and Environmental Aspects. WWWforEurope Deliverable No. 8," WIFO Studies, WIFO, number 58411, Juni.
    18. Carlos M. Fernández-Márquez & Matías Fuentes & Juan José Martínez & Francisco J. Vázquez, 2021. "Productivity and unemployment: an ABM approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 133-151, January.
    19. Bernhard Rengs & Manuel Scholz-Wäckerle & Ardjan Gazheli & Miklós Antal & Jeroen C.J.M. van den Bergh, 2015. "Testing Innovation, Employment and Distributional Impacts of Climate Policy Packages in a Macro-evolutionary Systems Setting. WWWforEurope Working Paper No. 83," WIFO Studies, WIFO, number 57891, Juni.

  63. Bargigli, Leonardo & Gallegati, Mauro, 2013. "Finding communities in credit networks," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-39.
    See citations under working paper version above.
  64. G. De Masi & M. Gallegati, 2012. "Bank–firms topology in Italy," Empirical Economics, Springer, vol. 43(2), pages 851-866, October.

    Cited by:

    1. Li, Shouwei & Liu, Yifu & Wu, Chaoqun, 2020. "Systemic risk in bank-firm multiplex networks," Finance Research Letters, Elsevier, vol. 33(C).
    2. Ramadiah, Amanah & Caccioli, Fabio & Fricke, Daniel, 2018. "Reconstructing and stress testing credit networks," ESRB Working Paper Series 84, European Systemic Risk Board.
    3. Thiago Christiano Silva & Marcos Soares da Silva & Benjamin Miranda Tabak, 2015. "Liquidity Performance Evaluation of the Brazilian Interbank Market using a Network-Based Approach," Working Papers Series 401, Central Bank of Brazil, Research Department.
    4. Olivier Accominotti & Delio Lucena-Piquero & Stefano Ugolini, 2023. "Intermediaries’ Substitutability and Financial Network Resilience: A Hyperstructure Approach," Post-Print hal-04160805, HAL.
    5. Duc Thi Luu, 2022. "Portfolio Correlations in the Bank-Firm Credit Market of Japan," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 529-569, August.
    6. Gautier Marti & Frank Nielsen & Miko{l}aj Bi'nkowski & Philippe Donnat, 2017. "A review of two decades of correlations, hierarchies, networks and clustering in financial markets," Papers 1703.00485, arXiv.org, revised Nov 2020.
    7. Kanno, Masayasu, 2020. "Credit rating migration risk and interconnectedness in a corporate lending network," Research in International Business and Finance, Elsevier, vol. 54(C).
    8. Solange Maria Guerra & Benjamin Miranda Tabak & Rodrigo Cesar de Castro Miranda, 2014. "Do Interconnections Matter for Bank Efficiency?," Working Papers Series 374, Central Bank of Brazil, Research Department.
    9. Li, Bing & Li, Changhong & Wang, Li, 2019. "Does the shareholding network affect bank's risk-taking behavior? An exploratory study on Chinese commercial banks," Finance Research Letters, Elsevier, vol. 31(C).
    10. Michel Alexandre & Gilberto Tadeu Lima & Luca Riccetti & Alberto Russo, 2022. "The financial network channel of monetary policy transmission: An agent-based model," Working Papers 2022/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    11. Diaz de la Fuente Manuel, 2023. "Análisis de la Topología de las relaciones entre Bancos y Firmas mediante Redes Complejas: comparación del caso de Argentina e Italia," Asociación Argentina de Economía Política: Working Papers 4647, Asociación Argentina de Economía Política.
    12. Daniel Fricke & Thomas Lux, 2015. "On the distribution of links in the interbank network: evidence from the e-MID overnight money market," Empirical Economics, Springer, vol. 49(4), pages 1463-1495, December.
    13. He, Jianmin & Sui, Xin & Li, Shouwei, 2016. "An endogenous model of the credit network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 1-14.
    14. Gurgone, Andrea & Iori, Giulia & Jafarey, Saqib, 2018. "The effects of interbank networks on efficiency and stability in a macroeconomic agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 257-288.
    15. Masayasu Kanno, 2018. "Bank–insurer–firm tripartite interconnectedness of credit risk exposures in a cross-shareholding network," Risk Management, Palgrave Macmillan, vol. 20(4), pages 273-303, November.
    16. Sebastian Poledna & Abraham Hinteregger & Stefan Thurner, 2018. "Identifying systemically important companies in the entire liability network of a small open economy," Papers 1801.10487, arXiv.org.
    17. de Carvalho, Pablo Jose Campos & Gupta, Aparna, 2018. "A network approach to unravel asset price comovement using minimal dependence structure," Journal of Banking & Finance, Elsevier, vol. 91(C), pages 119-132.
    18. Lux, Thomas, 2017. "On the distribution of links in financial networks: Structural heterogeneity and functional form," Economics Working Papers 2017-05, Christian-Albrechts-University of Kiel, Department of Economics.
    19. Deborah Noguera & Gabriel Montes-Rojas, 2022. "Credit-constrained fluctuations and uncertainty in a network economy," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(80), pages 5-52, November.
    20. Lux, Thomas, 2014. "A model of the topology of the bank-firm credit network and its role as channel of contagion," Kiel Working Papers 1950, Kiel Institute for the World Economy (IfW Kiel).

  65. Battiston, Stefano & Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Stiglitz, Joseph E., 2012. "Liaisons dangereuses: Increasing connectivity, risk sharing, and systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1121-1141.
    See citations under working paper version above.
  66. Pasquale Cirillo & Gabriele Tedeschi & Mauro Gallegati, 2012. "The Boulogne fish market: the social structure and the role of loyalty," Applied Economics Letters, Taylor & Francis Journals, vol. 19(11), pages 1075-1079, July.

    Cited by:

    1. Ali Ellouze & Bastien Fernandez, 2023. "Population dynamics in fresh product markets with no posted prices," Papers 2311.03987, arXiv.org.
    2. Rocco Caferra & Gabriele Tedeschi & Andrea Morone, 2023. "Agents interaction and price dynamics: evidence from the laboratory," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 251-274, April.

  67. Tedeschi, Gabriele & Gallegati, Mauro & Mignot, Sylvain & Vignes, Annick, 2012. "Lost in transactions: The case of the Boulogne s/mer fish market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1400-1407.

    Cited by:

    1. Laura Hernández & Annick Vignes & Stéphanie Saba, 2018. "Trust or robustness? An ecological approach to the study of auction and bilateral markets," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-14, May.
    2. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.
    3. Laura Hernandez & Annick Vignes & Stéphanie Saba, 2018. "Trust or robustness? An ecological approach to the study of auction and bilateral markets," Post-Print hal-02005040, HAL.
    4. Sylvain Mignot & Gabriele Tedeschi & Annick Vignes, 2012. "An Agent Based Model of Switching: The Case of Boulogne S/mer Fish Market," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(2), pages 1-3.
    5. Colasante, Annarita, 2017. "Selection of the distributional rule as an alternative tool to foster cooperation in a Public Good Game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 482-492.
    6. Colasante, Annarita, 2016. "Evolution of Cooperation in Public Good Game," MPRA Paper 72577, University Library of Munich, Germany.

  68. Pasquale Cirillo & Mauro Gallegati, 2012. "The Empirical Validation of an Agent-based Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 38(4), pages 525-547.

    Cited by:

    1. Klabunde, Anna, 2014. "Computational Economic Modeling of Migration," Ruhr Economic Papers 471, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    2. Anna Klabunde & Frans Willekens, 2016. "Decision-Making in Agent-Based Models of Migration: State of the Art and Challenges," European Journal of Population, Springer;European Association for Population Studies, vol. 32(1), pages 73-97, February.
    3. Francesco Lamperti, 2015. "An Information Theoretic Criterion for Empirical Validation of Time Series Models," LEM Papers Series 2015/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Teglio, Andrea & Mazzocchetti, Andrea & Ponta, Linda & Raberto, Marco & Cincotti, Silvano, 2019. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 59-83.
    5. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    6. Recchioni, Maria Cristina & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "A calibration procedure for analyzing stock price dynamics in an agent-based framework," FinMaP-Working Papers 26, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    7. Jakob Grazzini & Matteo Richiardi, 2014. "Estimation of Ergodic Agent-Based Models by Simulated Minimum Distance," Economics Papers 2014-W07, Economics Group, Nuffield College, University of Oxford.
    8. Grazzini, Jakob & Richiardi, Matteo, 2013. "Consistent Estimation of Agent-Based Models by Simulated Minimum Distance," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201335, University of Turin.
    9. Annalisa Fabretti, 2013. "On the problem of calibrating an agent based model for financial markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 277-293, October.

  69. J. Rosser & Marina Rosser & Mauro Gallegati, 2012. "A Minsky-Kindleberger Perspective on the Financial Crisis," Journal of Economic Issues, Taylor & Francis Journals, vol. 46(2), pages 449-458.

    Cited by:

    1. Citera, Emanuele & Sau, Lino, 2019. "Complexity, Conventions and Instability: the role of monetary policy," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201924, University of Turin.
    2. Vanessa Cediel Sánchez & Carlos Velásquez Vega, 2015. "¿Hay una burbuja inmobiliaria en Bogotá? Un estudio por segmentos de mercado," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 17(32), pages 233-357, January-J.
    3. Ehsan Ahmed & J. Barkley Rosser, Jr. & Jamshed Y. Uppal, 2016. "A Raging Bull or a Long-term Speculative Bubble? The Puzzling Case of the Karachi Stock Exchange," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(2), pages 79-93.
    4. Lukas Richau & Florian Follert & Monika Frenger & Eike Emrich, 2021. "The sky is the limit?! Evaluating the existence of a speculative bubble in European football," Journal of Business Economics, Springer, vol. 91(6), pages 765-796, August.
    5. Greg Hannsgen & Tai Young-Taft, 2015. "Inside Money in a Kaldor-Kalecki-Steindl Fiscal Policy Model: The Unit of Account, Inflation, Leverage, and Financial Fragility," Economics Working Paper Archive wp_839, Levy Economics Institute.
    6. Emanuele Citera & Lino Sau, 2021. "Reflexivity, Financial Instability and Monetary Policy: A ‘Convention-Based’ Approach," Review of Political Economy, Taylor & Francis Journals, vol. 33(2), pages 327-343, April.

  70. Battiston, Stefano & Gatti, Domenico Delli & Gallegati, Mauro & Greenwald, Bruce & Stiglitz, Joseph E., 2012. "Default cascades: When does risk diversification increase stability?," Journal of Financial Stability, Elsevier, vol. 8(3), pages 138-149.
    See citations under working paper version above.
  71. Tedeschi, Gabriele & Iori, Giulia & Gallegati, Mauro, 2012. "Herding effects in order driven markets: The rise and fall of gurus," Journal of Economic Behavior & Organization, Elsevier, vol. 81(1), pages 82-96.

    Cited by:

    1. Misha Perepelitsa & Ilya Timofeyev, 2022. "Self-sustained price bubbles driven by digital currency innovations and adaptive market behavior," SN Business & Economics, Springer, vol. 2(3), pages 1-15, March.
    2. Goldbaum, David, 2021. "The origins of influence," Economic Modelling, Elsevier, vol. 97(C), pages 380-396.
    3. Blaurock, Ivonne & Schmitt, Noemi & Westerhoff, Frank, 2018. "Market entry waves and volatility outbursts in stock markets," Journal of Economic Behavior & Organization, Elsevier, vol. 153(C), pages 19-37.
    4. Daniele Giachini, 2018. "Rationality and Asset Prices under Belief Heterogeneity," LEM Papers Series 2018/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Fabio Della Rossa & Lorenzo Giannini & Pietro DeLellis, 2020. "Herding or wisdom of the crowd? Controlling efficiency in a partially rational financial market," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-16, September.
    6. Mark Setterfield & Bill Gibson, 2013. "Real and financial crises: A multi-agent approach," Working Papers 1309, Trinity College, Department of Economics, revised Jul 2014.
    7. Lu, Jingen & Chen, Xiaohong & Liu, Xiaoxing, 2018. "Stock market information flow: Explanations from market status and information-related behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 837-848.
    8. Matthew Oldham, 2019. "Understanding How Short-Termism and a Dynamic Investor Network Affects Investor Returns: An Agent-Based Perspective," Complexity, Hindawi, vol. 2019, pages 1-21, July.
    9. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2015. "Stock Market Dynamics, Leveraged Network-Based Financial Accelerator and Monetary Policy," MPRA Paper 63622, University Library of Munich, Germany.
    10. Emilios C. C Galariotis & Spyros I. Spyrou & Wu Rong, 2015. "Herding on fundamental information: A comparative study," Post-Print hal-01092519, HAL.
    11. Jiewang Chu & Jiaxuan Li, 2022. "The Composition and Operation Mechanism of Digital Entrepreneurial Ecosystem: A Study of Hangzhou Yunqi Town as an Example," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
    12. Galariotis, Emilios C. & Krokida, Styliani-Iris & Spyrou, Spyros I., 2016. "Bond market investor herding: Evidence from the European financial crisis," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 367-375.
    13. Simone LENZU & Gabriele TEDESCHI, 2012. "Systemic risk on different interbank network topologies," Working Papers 375, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    14. Iori, G. & Porter, J., 2012. "Agent-Based Modelling for Financial Markets," Working Papers 12/08, Department of Economics, City University London.
    15. Alessio Emanuele Biondo, 2020. "Information versus imitation in a real-time agent-based model of financial markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(3), pages 613-631, July.
    16. Alessio Emanuele Biondo, 2018. "Order book microstructure and policies for financial stability," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 35(1), pages 196-218, March.
    17. Pascal Seppecher & Isabelle Salle, 2015. "Deleveraging crises and deep recessions: a behavioural approach," Applied Economics, Taylor & Francis Journals, vol. 47(34-35), pages 3771-3790, July.
    18. Patrick Chang, 2020. "Fourier instantaneous estimators and the Epps effect," Papers 2007.03453, arXiv.org, revised Sep 2020.
    19. Wang, Guocheng & Wang, Yanyi, 2018. "Herding, social network and volatility," Economic Modelling, Elsevier, vol. 68(C), pages 74-81.
    20. Alessio Emanuele Biondo, 2019. "Order book modeling and financial stability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 469-489, September.
    21. Vivien Lespagnol & Juliette Rouchier, 2018. "Trading Volume and Price Distortion: An Agent-Based Model with Heterogenous Knowledge of Fundamentals," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 991-1020, April.
    22. Vivien Lespagnol & Juliette Rouchier, 2014. "Trading Volume and Market Efficiency: An Agent Based Model with Heterogenous Knowledge about Fundamentals," Working Papers halshs-00997573, HAL.
    23. Biondo, Alessio Emanuele, 2017. "Learning to forecast, risk aversion, and microstructural aspects of financial stability," Economics Discussion Papers 2017-104, Kiel Institute for the World Economy (IfW Kiel).
    24. Te Bao & Brice Corgnet & Nobuyuki Hanaki & Yohanes E. Riyanto & Jiahua Zhu, 2023. "Predicting the unpredictable : New experimental evidence on forecasting random walks," Post-Print hal-04376053, HAL.
    25. Li, Zhuolei & Diao, Xundi & Wu, Chongfeng, 2022. "The influence of mobile trading on return dispersion and herding behavior," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    26. Biondo, Alessio Emanuele, 2018. "Learning to forecast, risk aversion, and microstructural aspects of financial stability," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-21.
    27. Chang Sheng-Kai, 2014. "Herd behavior, bubbles and social interactions in financial markets," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(1), pages 89-101, February.
    28. Jan Polach & Jiri Kukacka, 2016. "Prospect Theory in the Heterogeneous Agent Model," Working Papers IES 2016/14, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2016.
    29. Luisanna Cocco & Michele Marchesi, 2016. "Modeling and Simulation of the Economics of Mining in the Bitcoin Market," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-31, October.
    30. Muskan Sachdeva & Ritu Lehal & Sanjay Gupta & Aashish Garg, 2021. "What make investors herd while investing in the Indian stock market? A hybrid approach," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 15(1), pages 19-37, September.
    31. Yamamoto, Ryuichi, 2019. "Dynamic Predictor Selection And Order Splitting In A Limit Order Market," Macroeconomic Dynamics, Cambridge University Press, vol. 23(5), pages 1757-1792, July.
    32. Rocco Caferra & Gabriele Tedeschi & Andrea Morone, 2023. "Agents interaction and price dynamics: evidence from the laboratory," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 251-274, April.
    33. Tubbenhauer, Tobias & Fieberg, Christian & Poddig, Thorsten, 2021. "Multi-agent-based VaR forecasting," Journal of Economic Dynamics and Control, Elsevier, vol. 131(C).
    34. Bargigli, Leonardo & Tedeschi, Gabriele, 2014. "Interaction in agent-based economics: A survey on the network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 1-15.
    35. Simone Berardi & Gabriele Tedeschi, 2016. "How banks’ strategies influence financial cycles: An approach to identifying micro behavior," Working Papers 2016/24, Economics Department, Universitat Jaume I, Castellón (Spain).
    36. Recchioni, Maria Cristina & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "A calibration procedure for analyzing stock price dynamics in an agent-based framework," FinMaP-Working Papers 26, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    37. Егорова Людмила Геннадьевна, 2014. "Эффективность Торговых Стратегий Мелких Трейдеров," Проблемы управления, CyberLeninka;Общество с ограниченной ответственностью "СенСиДат-Контрол", issue 5, pages 34-41.
    38. Ibrahim Filiz & Thomas Nahmer & Markus Spiwoks & Kilian Bizer, 2018. "Portfolio diversification: the influence of herding, status-quo bias, and the gambler’s fallacy," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 32(2), pages 167-205, May.
    39. Brzezicka Justyna & Wisniewski Radosław, 2014. "Price Bubble In The Real Estate Market - Behavioral Aspects," Real Estate Management and Valuation, Sciendo, vol. 22(1), pages 1-14, March.
    40. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.
    41. Zhang, Junhuan, 2018. "Influence of individual rationality on continuous double auction markets with networked traders," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 353-392.
    42. Junhuan Zhang & Peter McBurney & Katarzyna Musial, 2018. "Convergence of trading strategies in continuous double auction markets with boundedly-rational networked traders," Review of Quantitative Finance and Accounting, Springer, vol. 50(1), pages 301-352, January.
    43. Alessio Emanuele Biondo & Alessandro Pluchino & Andrea Rapisarda & Dirk Helbing, 2013. "Are Random Trading Strategies More Successful than Technical Ones?," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-13, July.
    44. Hazem Krichene & Mhamed-Ali El-Aroui, 2018. "Artificial stock markets with different maturity levels: simulation of information asymmetry and herd behavior using agent-based and network models," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(3), pages 511-535, October.
    45. Vivien Lespagnol & Juliette Rouchier, 2018. "Trading Volume and Price Distortion: An Agent-Based Model with Heterogenous Knowledge of Fundamentals," Post-Print hal-02084910, HAL.
    46. Christopher M Wray & Steven R Bishop, 2016. "A Financial Market Model Incorporating Herd Behaviour," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-28, March.
    47. Vivien Lespagnol & Juliette Rouchier, 2015. "What Is the Impact of Heterogeneous Knowledge About Fundamentals on Market Liquidity and Efficiency: An ABM Approach," Lecture Notes in Economics and Mathematical Systems, in: Frédéric Amblard & Francisco J. Miguel & Adrien Blanchet & Benoit Gaudou (ed.), Advances in Artificial Economics, edition 127, pages 105-117, Springer.
    48. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046.
    49. Humayun Kabir, M. & Shakur, Shamim, 2018. "Regime-dependent herding behavior in Asian and Latin American stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 47(C), pages 60-78.
    50. Liudmila G. Egorova, 2014. "The Effectiveness Of Different Trading Strategies For Price-Takers," HSE Working papers WP BRP 29/FE/2014, National Research University Higher School of Economics.
    51. Gabriele Tedeschi & Stefania Vitali & Mauro Gallegati, 2014. "The dynamic of innovation networks: a switching model on technological change," Journal of Evolutionary Economics, Springer, vol. 24(4), pages 817-834, September.
    52. A. E. Biondo & A. Pluchino & A. Rapisarda & D. Helbing, 2013. "Are random trading strategies more successful than technical ones?," Papers 1303.4351, arXiv.org, revised Jul 2013.
    53. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    54. Maria Elvira Mancino & Maria Cristina Recchioni, 2015. "Fourier Spot Volatility Estimator: Asymptotic Normality and Efficiency with Liquid and Illiquid High-Frequency Data," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-33, September.

  72. Gabriele Tedeschi & Amin Mazloumian & Mauro Gallegati & Dirk Helbing, 2012. "Bankruptcy Cascades in Interbank Markets," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-10, December.

    Cited by:

    1. Akira Namatame & Hoang Ang Q. Tran, 2013. "Enhancing The Resilience Of Networked Agents Through Risk Sharing," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 16(04n05), pages 1-22.
    2. Douglas J. Cumming & Andrea Martinez-Salgueiro & Robert S. Reardon & Ahmed Sewaid, 2022. "COVID-19 bust, policy response, and rebound: equity crowdfunding and P2P versus banks," The Journal of Technology Transfer, Springer, vol. 47(6), pages 1825-1846, December.
    3. Daniel Grigat & Fabio Caccioli, 2017. "Reverse stress testing interbank networks," Papers 1702.08744, arXiv.org, revised Mar 2017.
    4. Xu, Yingying, 2020. "Will energy transitions impact financial systems?," Energy, Elsevier, vol. 194(C).
    5. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    6. Brini, Alessio & Tedeschi, Gabriele & Tantari, Daniele, 2023. "Reinforcement learning policy recommendation for interbank network stability," Journal of Financial Stability, Elsevier, vol. 67(C).
    7. Song, Jae Wook & Ko, Bonggyun & Cho, Poongjin & Chang, Woojin, 2016. "Time-varying causal network of the Korean financial system based on firm-specific risk premiums," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 287-302.
    8. Oet, Mikhail V. & Ong, Stephen J., 2019. "From organization to activity in the US collateralized interbank market," Research in International Business and Finance, Elsevier, vol. 50(C), pages 472-485.
    9. Gabbi, Giampaolo & Iori, Giulia & Jafarey, Saqib & Porter, James, 2015. "Financial regulations and bank credit to the real economy," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 117-143.
    10. Safarzyńska, Karolina & van den Bergh, Jeroen C.J.M., 2017. "Integrated crisis-energy policy: Macro-evolutionary modelling of technology, finance and energy interactions," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 119-137.
    11. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    12. Carlos Serrano-Cinca & Begoña Gutiérrez-Nieto & Luz López-Palacios, 2015. "Determinants of Default in P2P Lending," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-22, October.
    13. Gian Paolo Clemente & Rosanna Grassi & Chiara Pederzoli, 2020. "Networks and market-based measures of systemic risk: the European banking system in the aftermath of the financial crisis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 159-181, January.
    14. Berardi, Simone & Tedeschi, Gabriele, 2015. "From banks' strategies to financial (in)stability," FinMaP-Working Papers 47, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    15. Tommaso Ciarli & Karolina Safarzynska, 2020. "Sustainability and Industrial Challenge: The Hindering Role of Complexity," SPRU Working Paper Series 2020-18, SPRU - Science Policy Research Unit, University of Sussex Business School.
    16. Lorella Fatone & Francesca Mariani, 2020. "Systemic risk governance in a dynamical model of a banking system with stochastic assets and liabilities," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 183-219, January.
    17. Bargigli, Leonardo & Tedeschi, Gabriele, 2014. "Interaction in agent-based economics: A survey on the network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 1-15.
    18. Simone Berardi & Gabriele Tedeschi, 2016. "How banks’ strategies influence financial cycles: An approach to identifying micro behavior," Working Papers 2016/24, Economics Department, Universitat Jaume I, Castellón (Spain).
    19. Teteryatnikova, Mariya, 2014. "Systemic risk in banking networks: Advantages of “tiered” banking systems," Journal of Economic Dynamics and Control, Elsevier, vol. 47(C), pages 186-210.
    20. Gabriele Tedeschi & Fabio Caccioli & Maria Cristina Recchioni, 2020. "Taming financial systemic risk: models, instruments and early warning indicators," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 1-7, January.
    21. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.
    22. Tedeschi, Gabriele & Vidal-Tomás, David & Delli-Gatti, Domenico & Gallegati, Mauro, 2021. "The macroeconomic effects of default and debt restructuring: An agent based exploration," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 1146-1163.
    23. Assenza, Tiziana & Cardaci, Alberto & Delli Gatti, Domenico & Grazzini, Jakob, 2017. "Policy experiments in an agent-based model with credit networks," Economics Discussion Papers 2017-66, Kiel Institute for the World Economy (IfW Kiel).
    24. Quinaz, Pedro Dias & Curto, José Dias, 2016. "Prudential regulation in an artificial banking system," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 10, pages 1-55.
    25. Tao Xu & Jianmin He & Shouwei Li, 2016. "Multi-Channel Contagion In Dynamic Interbank Market Network," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(06n07), pages 1-25, September.
    26. Poledna, Sebastian & Bochmann, Olaf & Thurner, Stefan, 2017. "Basel III capital surcharges for G-SIBs are far less effective in managing systemic risk in comparison to network-based, systemic risk-dependent financial transaction taxes," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 230-246.
    27. Dirk Helbing, 2013. "Economics 2.0: The Natural Step towards A Self-Regulating, Participatory Market Society," Papers 1305.4078, arXiv.org, revised Jun 2013.
    28. Andre R. Neveu, 2018. "A survey of network-based analysis and systemic risk measurement," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 241-281, July.
    29. Edoardo Gaffeo & Mauro Gallegati & Lucio Gobbi, 2022. "Endogenous clearinghouse formation in payment networks," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 109-136, April.
    30. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    31. Curto, José Dias & Quinaz, Pedro Miguel Mateus Dias, 2016. "Prudential regulation in an artificial banking system," Economics Discussion Papers 2016-27, Kiel Institute for the World Economy (IfW Kiel).
    32. De Caux, Robert & McGroarty, Frank & Brede, Markus, 2017. "The evolution of risk and bailout strategy in banking systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 109-118.
    33. Maria Elvira Mancino & Maria Cristina Recchioni, 2015. "Fourier Spot Volatility Estimator: Asymptotic Normality and Efficiency with Liquid and Illiquid High-Frequency Data," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-33, September.
    34. Safarzyńska, Karolina & van den Bergh, Jeroen C.J.M., 2017. "Financial stability at risk due to investing rapidly in renewable energy," Energy Policy, Elsevier, vol. 108(C), pages 12-20.

  73. Gatti, Domenico Delli & Gallegati, Mauro & Greenwald, Bruce C. & Russo, Alberto & Stiglitz, Joseph E., 2012. "Mobility constraints, productivity trends, and extended crises," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 375-393.

    Cited by:

    1. Li, Xi Hao & Gallegati, Mauro, 2015. "Sectoral Imbalance in Two-Sector Economy with Mobility Constraint and Firm Migration," MPRA Paper 66002, University Library of Munich, Germany.
    2. Joseph E. Stiglitz, 2016. "The Theory of Credit and Macro-economic Stability," NBER Working Papers 22837, National Bureau of Economic Research, Inc.
    3. Fratianni, Michele & Giri, Federico, 2017. "The tale of two great crises," Journal of Economic Dynamics and Control, Elsevier, vol. 81(C), pages 5-31.
    4. Gallegati, Mauro & Giammetti, Raffaele & Russo, Alberto, 2019. "Key sectors in Input-Output Production Networks: an application to Brexit," MPRA Paper 92559, University Library of Munich, Germany.
    5. Joseph E. Stiglitz, 2017. "Macro-economic Management in an Electronic Credit/Financial System," NBER Working Papers 23032, National Bureau of Economic Research, Inc.
    6. Stiglitz, Joseph E., 2015. "Leaders and followers: Perspectives on the Nordic model and the economics of innovation," Journal of Public Economics, Elsevier, vol. 127(C), pages 3-16.
    7. Li, Xi Hao, 2013. "Standardization for Agent-based Modeling in Economics," MPRA Paper 47396, University Library of Munich, Germany.
    8. Valentini, Enzo & Arlotti, Marco & Compagnucci, Fabiano & Gentili, Andrea & Muratore, Fabrizio & Gallegati, Mauro, 2017. "Technical change, sectoral dislocation and barriers to labor mobility: Factors behind the great recession," Journal of Economic Dynamics and Control, Elsevier, vol. 81(C), pages 187-215.
    9. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    10. Stiglitz, Joseph E., 2016. "America's Great Malaise and what to do about it," Journal of Policy Modeling, Elsevier, vol. 38(4), pages 639-648.
    11. Stiglitz, Joseph, 2021. "Lessons from COVID-19 and Trump for Theory and Policy (Paper)," Journal of Policy Modeling, Elsevier, vol. 43(4), pages 749-760.
    12. Elizabeth Jane Casabianca & Alessia Lo Turco & Daniela Maggioni, 2021. "Migration And The Structure Of Manufacturing Production. A View From Italian Provinces," Working Papers 448, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    13. Anton Korinek, 2019. "Integrating Ethical Values and Economic Value to Steer Progress in Artificial Intelligence," NBER Working Papers 26130, National Bureau of Economic Research, Inc.
    14. Joseph E. Stiglitz, 2013. "Stable Growth in an Era of Crises; Learning from Economic Theory and History," Ekonomi-tek - International Economics Journal, Turkish Economic Association, vol. 2(1), pages 1-39, January.
    15. LI, XI HAO & Gallegati, Mauro, 2015. "Stock-Flow Dynamic Projection," MPRA Paper 62047, University Library of Munich, Germany.
    16. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Monetary policy and large crises in a financial accelerator agent-based model," FinMaP-Working Papers 65, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    17. Joseph E. Stiglitz, 2017. "Where Modern Macroeconomics Went Wrong," NBER Working Papers 23795, National Bureau of Economic Research, Inc.
    18. Duca, John V., 2017. "The Great Depression versus the Great Recession in the U.S.: How fiscal, monetary, and financial polices compare," Journal of Economic Dynamics and Control, Elsevier, vol. 81(C), pages 50-64.
    19. Stiglitz, Joseph & Lin, Justin & Monga, Celestin & Patel, Ebrahim, 2013. "Industrial policy in the African context," Policy Research Working Paper Series 6633, The World Bank.
    20. Stiglitz, Joseph E., 2017. "The coming great transformation," Journal of Policy Modeling, Elsevier, vol. 39(4), pages 625-638.
    21. Stiglitz Joseph E., 2018. "Working Paper 301 - Structural Transformation, Deep Downturns, and Government Policy," Working Paper Series 2401, African Development Bank.
    22. Elisabetta Croci Angelini & Francesco Farina & Enzo Valentini, 2020. "Wage and employment by skill levels in technological evolution of South and East Europe," Journal of Evolutionary Economics, Springer, vol. 30(5), pages 1497-1514, November.
    23. Andrea Gentili & Fabiano Compagnucci & Mauro Gallegati & Enzo Valentini, 2020. "Are machines stealing our jobs?," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 153-173.
    24. Emanuele Ciola & EDOARDO GAFFEO & Mauro Gallegati, 2018. "Matching frictions, credit reallocation and macroeconomic activity: how harmful are financial crises?," DEM Working Papers 2018/05, Department of Economics and Management.
    25. Joseph Stiglitz, 2015. "Unemployment and Innovation," Working Papers Series 1, Institute for New Economic Thinking.
    26. Stiglitz, J.E., 2016. "An agenda for sustainable and inclusive growth for emerging markets," Journal of Policy Modeling, Elsevier, vol. 38(4), pages 693-710.
    27. Jacopo Di Domenico & Alberto Russo, 2022. "Innovation, growth, and productivity appropriation. How the elites learned to stop worrying and love public debt," Working Papers 2022/12, Economics Department, Universitat Jaume I, Castellón (Spain).
    28. Russo, Alberto, 2012. "From the Neoliberal crisis to a new path of development," MPRA Paper 38004, University Library of Munich, Germany.
    29. Recchioni, Maria Cristina & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "A calibration procedure for analyzing stock price dynamics in an agent-based framework," FinMaP-Working Papers 26, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    30. Ciola, Emanuele & Gaffeo, Edoardo & Gallegati, Mauro, 2022. "Search for profits and business fluctuations: How does banks’ behaviour explain cycles?," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    31. Anton Korinek & Joseph E. Stiglitz, 2018. "Artificial Intelligence and Its Implications for Income Distribution and Unemployment," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 349-390, National Bureau of Economic Research, Inc.
    32. Gabriele Tedeschi & Fabio Caccioli & Maria Cristina Recchioni, 2020. "Taming financial systemic risk: models, instruments and early warning indicators," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 1-7, January.
    33. Alberto Russo, 2014. "Elements of Novelty, Known Mechanisms, and the Fundamental Causes of the Recent Crisis," Journal of Economic Issues, Taylor & Francis Journals, vol. 48(3), pages 743-764.
    34. Wang, Yi-Ran & Ma, Chao-Qun & Ren, Yi-Shuai, 2022. "A model for CBDC audits based on blockchain technology: Learning from the DCEP," Research in International Business and Finance, Elsevier, vol. 63(C).
    35. Simone Alfarano & Eva Camacho & Gabriele Tedeschi, 2019. "Alternative approaches for the reformulation of economics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(1), pages 1-6, March.
    36. Joseph E. Stiglitz, 2016. "How to Restore Equitable and Sustainable Economic Growth in the United States," American Economic Review, American Economic Association, vol. 106(5), pages 43-47, May.
    37. Acocella, Nicola, 2021. "Stagnation," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 74(2), pages 121-140.
    38. Croci Angelini, Elisabetta & Farina, Francesco & Valentini, Enzo, 2017. "Wages and employment by skill level in Southern and Eastern Europe during the crisis," GLO Discussion Paper Series 153, Global Labor Organization (GLO).
    39. Tihana Skrinjaric, 2022. "Macroeconomic effects of systemic stress: a rolling spillover index approach," Public Sector Economics, Institute of Public Finance, vol. 46(1), pages 109-140.
    40. Emanuele Ciola & Edoardo Gaffeo & Mauro Gallegati, 2021. "Search for Profits and Business Fluctuations: How Banks' Behaviour Explain Cycles?," Working Papers 450, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    41. Joseph E. Stiglitz, 2020. "The Pandemic Economic Crisis, Precautionary Behavior, and Mobility Constraints: An Application of the Dynamic Disequilibrium Model with Randomness," NBER Working Papers 27992, National Bureau of Economic Research, Inc.
    42. Antonelli, Cristiano & Fassio, Claudio, 2014. "The economics of the light economy," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 89-107.

  74. Domenico Delli Gatti & Corrado Di Guilmi & Mauro Gallegati & Simone Landini, 2012. "Reconstructing Aggregate Dynamics in Heterogeneous Agents Models. A Markovian Approach," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 117-146.

    Cited by:

    1. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Improving the toolbox. New advances in Agent-based and Computational Models," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 7-13.
    2. Simone Landini & Mauro Gallegati & Joseph Stiglitz, 2015. "Economies with heterogeneous interacting learning agents," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(1), pages 91-118, April.
    3. Simone Landini & Mauro Gallegati, 2014. "Heterogeneity, interaction and emergence: effects of composition," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 4(3/4), pages 339-361.
    4. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Introduction - Improving the Toolbox: New Advances in Agent-Based and Computational Models," SciencePo Working papers Main hal-01053562, HAL.

  75. Fabio Clementi & Mauro Gallegati & Giorgio Kaniadakis, 2012. "A new model of income distribution: the κ-generalized distribution," Journal of Economics, Springer, vol. 105(1), pages 63-91, January.

    Cited by:

    1. Mathias Silva & Michel Lubrano, 2023. "Bayesian correction for missing rich using a Pareto II tail with unknown threshold: Combining EU-SILC and WID data," Working Papers hal-04231661, HAL.
    2. F. Clementi & M. Gallegati, 2016. "New economic windows on income and wealth: The k-generalized family of distributions," Papers 1608.06076, arXiv.org.
    3. Stella, Massimo & Brede, Markus, 2014. "A κ-deformed model of growing complex networks with fitness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 407(C), pages 360-368.
    4. Alberto Russo, 2014. "A Stochastic Model of Wealth Accumulation with Class Division," Metroeconomica, Wiley Blackwell, vol. 65(1), pages 1-35, February.
    5. Louis Chauvel, 2014. "The Intensity and Shape of Inequality: The ABG Method of Distributional Analysis," LIS Working papers 609, LIS Cross-National Data Center in Luxembourg.
    6. F. Clementi & M. Gallegati & G. Kaniadakis, 2012. "A generalized statistical model for the size distribution of wealth," Papers 1209.4787, arXiv.org, revised Dec 2012.
    7. Yong Tao, 2016. "Spontaneous economic order," Journal of Evolutionary Economics, Springer, vol. 26(3), pages 467-500, July.
    8. Aktaev, Nurken E. & Bannova, K.A., 2022. "Mathematical modeling of probability distribution of money by means of potential formation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 595(C).
    9. Tapiero, Oren J., 2013. "A maximum (non-extensive) entropy approach to equity options bid–ask spread," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(14), pages 3051-3060.
    10. Tao, Yong & Sornette, Didier & Lin, Li, 2021. "Emerging social brain: A collective self-motivated Boltzmann machine," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    11. Louis Chauvel, 2016. "The Intensity and Shape of Inequality: The ABG Method of Distributional Analysis," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(1), pages 52-68, March.

  76. Gallegati, Mauro & Palestrini, Antonio & Rosser, J. Barkley, 2011. "The Period Of Financial Distress In Speculative Markets: Interacting Heterogeneous Agents And Financial Constraints," Macroeconomic Dynamics, Cambridge University Press, vol. 15(1), pages 60-79, February.

    Cited by:

    1. Li, Xi Hao, 2013. "Standardization for Agent-based Modeling in Economics," MPRA Paper 47396, University Library of Munich, Germany.
    2. Gomes, Orlando, 2012. "Attentiveness cycles: Synchronized behavior and aggregate fluctuations," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 66(3), October.
    3. Hüsler, A. & Sornette, D. & Hommes, C.H., 2013. "Super-exponential bubbles in lab experiments: Evidence for anchoring over-optimistic expectations on price," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 304-316.
    4. Giovanni Campisi & Silvia Muzzioli & Fabio Tramontana, 2021. "Uncertainty about fundamental, pessimistic and overconfident traders: a piecewise-linear maps approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 707-726, December.
    5. Ehsan Ahmed & J. Barkley Rosser, Jr. & Jamshed Y. Uppal, 2016. "A Raging Bull or a Long-term Speculative Bubble? The Puzzling Case of the Karachi Stock Exchange," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(2), pages 79-93.
    6. Zhi-Qiang JIANG & Wei-Xing ZHOU & Didier SORNETTE & Ryan WOODARD & Ken BASTIAENSEN & Peter CAUWELS, 2009. "Bubble Diagnosis and Prediction of the 2005-2007 and 2008-2009 Chinese stock market bubbles," Swiss Finance Institute Research Paper Series 09-39, Swiss Finance Institute.
    7. Ilker Arslan & Eugenio Caverzasi & Mauro Gallegati & Alper Duman, 2016. "Long Term Impacts of Bank Behavior on Financial Stability. an Agent Based Modeling Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(1), pages 1-11.
    8. J. Rosser & Marina Rosser & Mauro Gallegati, 2012. "A Minsky-Kindleberger Perspective on the Financial Crisis," Journal of Economic Issues, Taylor & Francis Journals, vol. 46(2), pages 449-458.
    9. Willi Semmler & Lucas Bernard, 2011. "Boom-Bust Cycles: Leveraging, Complex Securities, and Asset Prices," DEGIT Conference Papers c016_034, DEGIT, Dynamics, Economic Growth, and International Trade.
    10. Yosra Mefteh Rekik & Younes Boujelbene, 2015. "Price Dynamics and Market Volatility: Behavioral Heterogeneity under Switching Trading Strategies on Artificial Financial Market," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 6(2), pages 33-43, April.
    11. Rosser Jr., J. Barkley, 2007. "The rise and fall of catastrophe theory applications in economics: Was the baby thrown out with the bathwater?," Journal of Economic Dynamics and Control, Elsevier, vol. 31(10), pages 3255-3280, October.
    12. Carl Chiarella & Xue-Zhong He & Weihong Huang & Huanhuan Zheng, 2011. "Estimating Behavioural Heterogeneity Under Regime Switching," Research Paper Series 290, Quantitative Finance Research Centre, University of Technology, Sydney.
    13. Michael S. Harr'e, 2018. "Multi-agent Economics and the Emergence of Critical Markets," Papers 1809.01332, arXiv.org.
    14. Huang, Weihong & Zheng, Huanhuan, 2012. "Financial crises and regime-dependent dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 82(2), pages 445-461.
    15. Brianzoni, Serena & Campisi, Giovanni, 2020. "Dynamical analysis of a financial market with fundamentalists, chartists, and imitators," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).

  77. Joseph E Stiglitz & Mauro Gallegati, 2011. "Heterogeneous Interacting Agent Models for Understanding Monetary Economies," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 6-12.

    Cited by:

    1. ARATA Yoshiyuki, 2015. "Endogenous Business Cycles Caused by Nonconvex Costs and Interactions," Discussion papers 15085, Research Institute of Economy, Trade and Industry (RIETI).
    2. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
    3. Kristoufek, Ladislav & Vošvrda, Miloslav S., 2016. "Herding, minority game, market clearing and efficient markets in a simple spin model framework," FinMaP-Working Papers 68, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    4. Li, Xi Hao, 2013. "Standardization for Agent-based Modeling in Economics," MPRA Paper 47396, University Library of Munich, Germany.
    5. Citera, Emanuele & Gouri Suresh, Shyam & Setterfield, Mark, 2023. "The network origins of aggregate fluctuations: A demand-side approach," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 111-123.
    6. Alan G. Isaac, 2019. "Exploring the Social-Architecture Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(4), pages 565-589, October.
    7. Otto, Christian & Willner, Sven Norman & Wenz, Leonie & Frieler, Katja & Levermann, Anders, 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," OSF Preprints 7yyhd, Center for Open Science.
    8. Cars Hommes & Mario He & Sebastian Poledna & Melissa Siqueira & Yang Zhang, 2022. "CANVAS: A Canadian Behavioral Agent-Based Model," Staff Working Papers 22-51, Bank of Canada.
    9. Ioana Maria BUCERZAN, 2015. "The Propagation Of Insolvency Among Business In Romania," EURINT, Centre for European Studies, Alexandru Ioan Cuza University, vol. 2, pages 64-79.
    10. Caleb Stroup, 2014. "International Deal Experience and Cross-Border Acquisitions," Working Papers 14-13, Davidson College, Department of Economics.
    11. Ricetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial leverage in an agent based macroeconomic model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-44.
    12. Corrado Di Guilmi, 2017. "The Agent†Based Approach To Post Keynesian Macro†Modeling," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1183-1203, December.
    13. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    14. Otto, C. & Willner, S.N. & Wenz, L. & Frieler, K. & Levermann, A., 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 232-269.
    15. Rengs, Bernhard & Scholz-Waeckerle, Manuel, 2017. "Consumption & Class in Evolutionary Macroeconomics," MPRA Paper 80021, University Library of Munich, Germany.
    16. Safarzyńska, Karolina & van den Bergh, Jeroen C.J.M., 2017. "Integrated crisis-energy policy: Macro-evolutionary modelling of technology, finance and energy interactions," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 119-137.
    17. Yuri Biondi & Simone Righi, 2013. "What does the financial market pricing do? A simulation analysis with a view to systemic volatility, exuberance and vagary," Papers 1312.7460, arXiv.org.
    18. Domenico Colucci & Matteo Vigna & Vincenzo Valori, 2022. "Large and uncertain heterogeneity of expectations: stability of equilibrium from a policy maker standpoint," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(1), pages 319-348, January.
    19. Bernhard Rengs & Manuel Scholz-Wäckerle, 2019. "Consumption & class in evolutionary macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 229-263, March.
    20. Kuhla, Kilian & Willner, Sven N & Otto, Christian & Levermann, Anders, 2023. "Resilience of international trade to typhoon-related supply disruptions," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    21. Yoshiyuki Arata, 2017. "Endogenous business cycles caused by nonconvex costs and interactions," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 367-391, July.
    22. Rengs, Bernhard & Scholz-Wäckerle, Manuel & van den Bergh, Jeroen, 2020. "Evolutionary macroeconomic assessment of employment and innovation impacts of climate policy packages," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 332-368.
    23. Juan Manuel Larrosa, 2016. "Agentes computacionales y análisis económico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 87-113, January-J.
    24. Rodríguez-Vives, Marta & Giron, Celestino, 2017. "Leverage interactions: a national accounts approach," Statistics Paper Series 19, European Central Bank.
    25. Nadja König & Ingrid Größl, 2014. "Catching up with the Joneses and Borrowing Constraints: An Agent-based Analysis of Household Debt," Macroeconomics and Finance Series 201404, University of Hamburg, Department of Socioeconomics.
    26. Yuri Biondi & Feng Zhou, 2017. "Interbank Credit and the Money Manufacturing Process. A Systemic Perspective on Financial Stability," Papers 1702.08774, arXiv.org.
    27. Aydilek, Harun & Aydilek, Asiye, 2020. "Do we really need heterogeneous agent models?," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 147-153.
    28. Adão, Luiz F.S. & Silveira, Douglas & Ely, Regis A. & Cajueiro, Daniel O., 2022. "The impacts of interest rates on banks’ loan portfolio risk-taking," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    29. Váry, Miklós, 2015. "Piaci alkalmazkodás ragadós árak mellett - Calvo-típusú ármerevség egy ágensalapú modellben [Market adjustment under sticky prices: the price rigidity of a Calvo type in an agent-based model]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 48-77.
    30. Adalbert Mayer, 2022. "An Agent-Based Macroeconomic Model with Endogenous Intertemporal Decision Rules," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 48(4), pages 548-579, October.
    31. Bernhard Rengs & Manuel Scholz-Wäckerle & Ardjan Gazheli & Miklós Antal & Jeroen C.J.M. van den Bergh, 2015. "Testing Innovation, Employment and Distributional Impacts of Climate Policy Packages in a Macro-evolutionary Systems Setting. WWWforEurope Working Paper No. 83," WIFO Studies, WIFO, number 57891, Juni.
    32. Shyam Gouri Suresh, 2015. "Rational versus Adaptive Expectations in an Agent-Based Model of a Barter Economy," Working Papers 15-02, Davidson College, Department of Economics.

  78. Marco Gallegati & Mauro Gallegati & James Bernard Ramsey & Willi Semmler, 2011. "The US Wage Phillips Curve across Frequencies and over Time," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(4), pages 489-508, August.

    Cited by:

    1. Akosah, Nana Kwame & Alagidede, Imhotep Paul & Schaling, Eric, 2020. "Testing for asymmetry in monetary policy rule for small-open developing economies: Multiscale Bayesian quantile evidence from Ghana," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    2. Marfatia, Hardik A., 2017. "A fresh look at integration of risks in the international stock markets: A wavelet approach," Review of Financial Economics, Elsevier, vol. 34(C), pages 33-49.
    3. Caraiani, Petre, 2017. "Evaluating exchange rate forecasts along time and frequency," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 60-81.
    4. Antonis Michis, 2014. "Time Scale Evaluation of Economic Forecasts," Working Papers 2014-1, Central Bank of Cyprus.
    5. Hudgins, David & Crowley, Patrick M., 2017. "Modelling a small open economy using a wavelet-based control model," Bank of Finland Research Discussion Papers 32/2017, Bank of Finland.
    6. Fratianni, Michele & Gallegati, Marco & Giri, Federico, 2022. "The medium-run Phillips curve: A time–frequency investigation for the UK," Journal of Macroeconomics, Elsevier, vol. 73(C).
    7. Tiwari, Aviral Kumar & Mutascu, Mihai Ioan & Albulescu, Claudiu Tiberiu, 2013. "The influence of the international oil prices on the real effective exchange rate in Romania in a wavelet transform framework," Energy Economics, Elsevier, vol. 40(C), pages 714-733.
    8. Derek Zweig, 2020. "Market Power, NAIRU, and the Phillips Curve," Abstract and Applied Analysis, Hindawi, vol. 2020, pages 1-18, December.
    9. Faria, Gonçalo & Verona, Fabio, 2017. "Forecasting the equity risk premium with frequency-decomposed predictors," Bank of Finland Research Discussion Papers 1/2017, Bank of Finland.
    10. Marco Gallegati & James B. Ramsey, 2019. "Phillips' averaging procedure as a 'crude' version of the Haar wavelet filter," Working Papers 437, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    11. Hegeland, Erik & Taalbi, Josef, 2019. "What determines unemployment in the long run? Band spectrum regression on ten countries," Lund Papers in Economic History 203, Lund University, Department of Economic History.
    12. Martins, Manuel M.F. & Verona, Fabio, 2023. "Inflation dynamics in the frequency domain," Economics Letters, Elsevier, vol. 231(C).
    13. Crowley, Patrick M. & Hudgins, David, 2019. "U.S. Macroeconomic Policy Evaluation in an Open Economy Context using Wavelet Decomposed Optimal Control Methods," Bank of Finland Research Discussion Papers 11/2019, Bank of Finland.
    14. Patrick M. Crowley & David Hudgins, 2018. "What is the right balance between US monetary and fiscal policy? Explorations using simulated wavelet-based optimal tracking control," Empirical Economics, Springer, vol. 55(4), pages 1537-1568, December.
    15. Jiang, Chun & Chang, Tsangyao & Li, Xiao-Lin, 2015. "Money growth and inflation in China: New evidence from a wavelet analysis," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 249-261.
    16. Abid, Fathi & Kaffel, Bilel, 2018. "Time–frequency wavelet analysis of the interrelationship between the global macro assets and the fear indexes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1028-1045.
    17. Sune Karlsson & Pär Österholm, 2023. "Is the US Phillips curve stable? Evidence from Bayesian vector autoregressions," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(1), pages 287-314, January.
    18. Gallegati, Marco & Ramsey, James B., 2013. "Structural change and phase variation: A re-examination of the q-model using wavelet exploratory analysis," Structural Change and Economic Dynamics, Elsevier, vol. 25(C), pages 60-73.
    19. Jose Barrales-Ruiz, Ivan Mendieta-Muñoz, Codrina Rada, Daniele Tavani, Rudiger von Arnim, 2021. "The distributive cycle: Evidence and current debates," Working Paper Series, Department of Economics, University of Utah 2021-01, University of Utah, Department of Economics.
    20. Luís Aguiar-Conraria & Pedro Magalhães & Maria Soares, 2013. "The nationalization of electoral cycles in the United States: a wavelet analysis," Public Choice, Springer, vol. 156(3), pages 387-408, September.
    21. Willi Semmler & Lars Grüne & Marleen Stieler, 2013. "Using Nonlinear Model Predictive Control for Dynamic Decision Problems in Economics," EcoMod2013 5782, EcoMod.
    22. Faria, Gonçalo & Verona, Fabio, 2020. "The yield curve and the stock market: Mind the long run," Journal of Financial Markets, Elsevier, vol. 50(C).
    23. Manuel M. F. Martins & Fabio Verona, 2020. "Forecasting Inflation with the New Keynesian Phillips Curve: Frequency Matters," CEF.UP Working Papers 2001, Universidade do Porto, Faculdade de Economia do Porto.
    24. Aviral Kumar Tiwari & Arif Billah Dar & Niyati Bhanja, 2014. "Inflation-Industrial Growth Nexus in India – A Revisit Through Continuous Wavelet Transform," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 14(2), pages 1-11.
    25. Caraiani, Petre, 2012. "Money and output: New evidence based on wavelet coherence," Economics Letters, Elsevier, vol. 116(3), pages 547-550.
    26. Tiwari, Aviral Kumar & Oros, Cornel & Albulescu, Claudiu Tiberiu, 2014. "Revisiting the inflation–output gap relationship for France using a wavelet transform approach," Economic Modelling, Elsevier, vol. 37(C), pages 464-475.
    27. Aviral Tiwari & Niyati Bhanja & Arif Dar & Faridul Islam, 2015. "Time–frequency relationship between share prices and exchange rates in India: Evidence from continuous wavelets," Empirical Economics, Springer, vol. 48(2), pages 699-714, March.
    28. Yoshito Funashima, 2018. "Macroeconomic policy coordination between Japanese central and local governments," Empirical Economics, Springer, vol. 54(4), pages 1631-1651, June.
    29. Raza, Syed Ali & Shah, Nida & Sharif, Arshian, 2019. "Time frequency relationship between energy consumption, economic growth and environmental degradation in the United States: Evidence from transportation sector," Energy, Elsevier, vol. 173(C), pages 706-720.
    30. Gazi Salah Uddin & Ahmed Taneem Muzaffar & Mohamed Arouri & Bo Sjö, 2017. "Understanding the Relationship between Inflation and Growth: A Wavelet Transformation Approach in the Case of Bangladesh," The World Economy, Wiley Blackwell, vol. 40(9), pages 1918-1933, September.
    31. Patrick M. Crowley & David Hudgins, 2021. "Okun’s law revisited in the time–frequency domain: introducing unemployment into a wavelet-based control model," Empirical Economics, Springer, vol. 61(5), pages 2635-2662, November.
    32. Faria, Gonçalo & Verona, Fabio, 2018. "Forecasting stock market returns by summing the frequency-decomposed parts," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 228-242.
    33. Maissa Elmrabet & Boulila Ghazi, 2018. "Causality deficit-inflation : wavelet transform," Working Papers hal-01941464, HAL.
    34. Muhammad Azmat Hayat & Huma Ghulam & Maryam Batool & Muhammad Zahid Naeem & Abdullah Ejaz & Cristi Spulbar & Ramona Birau, 2021. "Investigating the Causal Linkages among Inflation, Interest Rate, and Economic Growth in Pakistan under the Influence of COVID-19 Pandemic: A Wavelet Transformation Approach," JRFM, MDPI, vol. 14(6), pages 1-22, June.
    35. Gallegati, Marco & Ramsey, James B., 2014. "The forward looking information content of equity and bond markets for aggregate investments," Journal of Economics and Business, Elsevier, vol. 75(C), pages 1-24.
    36. Luís Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2019. "The Phillips Curve at 60: time for time and frequency," CEF.UP Working Papers 1902, Universidade do Porto, Faculdade de Economia do Porto.
    37. Marczak, Martyna & Gómez, Víctor, 2015. "Cyclicality of real wages in the USA and Germany: New insights from wavelet analysis," Economic Modelling, Elsevier, vol. 47(C), pages 40-52.
    38. Gallegati, Marco & Ramsey, James B. & Semmler, Willi, 2014. "Interest rate spreads and output: A time scale decomposition analysis using wavelets," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 283-290.
    39. Kilponen, Juha & Verona, Fabio, 2016. "Testing the Q theory of investment in the frequency domain," Bank of Finland Research Discussion Papers 32/2016, Bank of Finland.
    40. Weider Loureto Alves & Roberto Tatiwa Ferreira, 2023. "Phillips curve and the exchange rate pass-through: a time–frequency approach," Empirical Economics, Springer, vol. 64(5), pages 2165-2181, May.
    41. Jozef Barunik & Evzen Kocenda & Lukas Vacha, 2013. "Gold, Oil, and Stocks," Papers 1308.0210, arXiv.org, revised Mar 2014.
    42. Daniel Francois Meyer, 2019. "An empirical analysis of the impact of employment, wages and inflation on consumer spending in a developing country, South Africa," Proceedings of International Academic Conferences 9912287, International Institute of Social and Economic Sciences.
    43. Firouzi, Shahrokh & Wang, Xiangning, 2021. "The interrelationship between order flow, exchange rate, and the role of American economic news," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    44. Olaolu Richard Olayeni, 2016. "Causality in Continuous Wavelet Transform Without Spectral Matrix Factorization: Theory and Application," Computational Economics, Springer;Society for Computational Economics, vol. 47(3), pages 321-340, March.
    45. Uddin, Gazi Salah & Tiwari, Aviral Kumar & Arouri, Mohamed & Teulon, Frédéric, 2013. "On the relationship between oil price and exchange rates: A wavelet analysis," Economic Modelling, Elsevier, vol. 35(C), pages 502-507.
    46. Stelios Bekiros & Jose Arreola Hernandez & Gazi Salah Uddin & Ahmed Taneem Muzaffar, 2020. "On the predictability of crude oil market: A hybrid multiscale wavelet approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(4), pages 599-614, July.
    47. Anil Kumar & Pia M. Orrenius, 2014. "A closer look at the Phillips curve using state-level data," Working Papers 1409, Federal Reserve Bank of Dallas.
    48. Arshian Sharif, Sahar Afshan, 2016. "Tourism Development and Real Effective Exchange Rate Revisited by Wavelet based Analysis: Evidence from France," Journal of Finance and Economics Research, Geist Science, Iqra University, Faculty of Business Administration, vol. 1(2), pages 101-118, October.
    49. Boryana Bogdanova & Ivan Ivanov, 2016. "A wavelet-based approach to the analysis and modelling of financial time series exhibiting strong long-range dependence: the case of Southeast Europe," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(4), pages 655-673, March.
    50. Syed Ali Raza & Muhammad Shahbaz & Rafi Amir-Ud-Din & Rashid Sbia & Nida Shah, 2018. "Testing for wavelet based time-frequency relationship between oil prices and US economic activity," Post-Print hal-01982294, HAL.
    51. Caraiani, Petre, 2015. "Estimating DSGE models across time and frequency," Journal of Macroeconomics, Elsevier, vol. 44(C), pages 33-49.
    52. Aguiar-Conraria, Luís & Martins, Manuel M.F. & Soares, Maria Joana, 2020. "Okun’s Law across time and frequencies," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    53. Martins, Manuel Mota Freitas & Verona, Fabio, 2021. "Inflation dynamics and forecast: Frequency matters," Bank of Finland Research Discussion Papers 8/2021, Bank of Finland.
    54. Aviral Kumar Tiwari & Olaolu Richard Olayeni & Reza Sherafatian-Jahromi & Olofin Sodik Adejonwo, 2019. "Output Gap, Money Growth and Interest Rate in Japan: Evidence from Wavelet Analysis," Arthaniti: Journal of Economic Theory and Practice, , vol. 18(2), pages 171-184, December.
    55. Gallegati, Marco & Delli Gatti, Domenico, 2018. "Macrofinancial imbalances in historical perspective: A global crisis index," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 190-205.
    56. Petre Caraiani & Rangan Gupta, 2018. "Is the Response of the Bank of England to Exchange Rate Movements Frequency-Dependent?," Working Papers 201883, University of Pretoria, Department of Economics.
    57. McAdam, Peter & Bridji, Slim & Charpe, Matthieu, 2019. "Labor share and growth in the long run," Working Paper Series 2251, European Central Bank.
    58. Michis, Antonis A., 2014. "Investing in gold: Individual asset risk in the long run," Finance Research Letters, Elsevier, vol. 11(4), pages 369-374.
    59. Erdost Torun & Afife Duygu Ayhan Akdeniz & Erhan Demireli & Simon Grima, 2022. "Long-Term US Economic Growth and the Carbon Dioxide Emissions Nexus: A Wavelet-Based Approach," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
    60. Andrea Vaona, 2015. "Inflation gifts restrictions for structural VARs: evidence from the US," Working Papers 16/2015, University of Verona, Department of Economics.
    61. Mutascu, Mihai, 2019. "Phillips curve in US: New insights in time and frequency," Research in Economics, Elsevier, vol. 73(1), pages 85-96.
    62. Nana Kwame Akosah & Imhotep Paul Alagidede & Eric Schaling, 2021. "Dynamics of Money Market Interest Rates in Ghana: Time‐Frequency Analysis of Volatility Spillovers," South African Journal of Economics, Economic Society of South Africa, vol. 89(4), pages 555-589, December.
    63. Crowley, Patrick M. & Hallett, Andrew Hughes, 2018. "What causes business cycles to elongate, or recessions to intensify?," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 338-349.
    64. Antonis A. Michis, 2021. "Wavelet Multidimensional Scaling Analysis of European Economic Sentiment Indicators," Journal of Classification, Springer;The Classification Society, vol. 38(3), pages 443-480, October.
    65. Gallegati, Marco & Giri, Federico & Palestrini, Antonio, 2019. "DSGE model with financial frictions over subsets of business cycle frequencies," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 152-163.
    66. Al Rababa’a, Abdel Razzaq & Alomari, Mohammad & McMillan, David, 2021. "Multiscale stock-bond correlation: Implications for risk management," Research in International Business and Finance, Elsevier, vol. 58(C).
    67. Hardik A. Marfatia, 2017. "A fresh look at integration of risks in the international stock markets: A wavelet approach," Review of Financial Economics, John Wiley & Sons, vol. 34(1), pages 33-49, September.
    68. Patrick M. Crowley & David Hudgins, 2022. "Monetary policy objectives and economic outcomes: What can we learn from a wavelet‐based optimal control approach?," Manchester School, University of Manchester, vol. 90(2), pages 144-170, March.
    69. Yingying XU & Zhixin LIU & Jaime ORTIZ, 2018. "Actual and Expected Inflation in the U.S.: A Time-Frequency View," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 42-62, December.
    70. Patrick M. Crowley & Andrew Hughes Hallett, 2021. "The Evolution of US and UK Real GDP Components in the Time-Frequency Domain: A Continuous Wavelet Analysis," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(3), pages 233-261, December.
    71. Mustapha Olalekan Ojo & Luís Aguiar-Conraria & Maria Joana Soares, 2019. "A Time-Frequency Analysis of Sovereign Debt Contagion in Europe," NIPE Working Papers 11/2019, NIPE - Universidade do Minho.
    72. Rita Sousa & Luís Aguiar-Conraria & Maria Joana Soares, 2014. "Carbon Financial Markets: a time-frequency analysis of CO2 price drivers," NIPE Working Papers 03/2014, NIPE - Universidade do Minho.
    73. Arif Dar & Amaresh Samantaraya & Firdous Shah, 2014. "The predictive power of yield spread: evidence from wavelet analysis," Empirical Economics, Springer, vol. 46(3), pages 887-901, May.
    74. Wen, Fenghua & Liu, Zhen & Dai, Zhifeng & He, Shaoyi & Liu, Wenhua, 2022. "Multi-scale risk contagion among international oil market, Chinese commodity market and Chinese stock market: A MODWT-Vine quantile regression approach," Energy Economics, Elsevier, vol. 109(C).
    75. Luís Aguiar-Conraria & Maria Joana Soares, 2014. "The Continuous Wavelet Transform: Moving Beyond Uni- And Bivariate Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 344-375, April.
    76. António Rua, 2016. "A wavelet-based multivariate multiscale approach for forecasting," Working Papers w201612, Banco de Portugal, Economics and Research Department.
    77. Aguiar-Conraria, Luís & Martins, Manuel M.F. & Soares, Maria Joana, 2023. "The Phillips curve at 65: Time for time and frequency," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    78. Habimana, Olivier, 2018. "Asymmetry and Multiscale Dynamics in Macroeconomic Time Series Analysis," MPRA Paper 87823, University Library of Munich, Germany.
    79. Akosah, Nana & Alagidede, Imhotep & Schaling, Eric, 2019. "Unfolding the monetary policy rule in Ghana: quantile-based evidence within time-frequency framework," MPRA Paper 103260, University Library of Munich, Germany, revised 01 Oct 2020.
    80. Sousa, Rita & Aguiar-Conraria, Luís & Soares, Maria Joana, 2014. "Carbon financial markets: A time–frequency analysis of CO2 prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 118-127.
    81. Michele Fratianni & Marco Gallegati & Federico Giri, 2019. "Mr Phillips and the medium-run: temporal instability vs. frequency stability," Mo.Fi.R. Working Papers 155, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.

  79. Gallegati, Mauro & Giulioni, Gianfranco & Kirman, Alan & Palestrini, Antonio, 2011. "What’s that got to do with the price of fish? Buyers behavior on the Ancona fish market," Journal of Economic Behavior & Organization, Elsevier, vol. 80(1), pages 20-33.
    See citations under working paper version above.
  80. Bargigli, Leonardo & Gallegati, Mauro, 2011. "Random digraphs with given expected degree sequences: A model for economic networks," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 396-411, May.
    See citations under working paper version above.
  81. Fabio Clementi & Mauro Gallegati & Giorgio Kaniadakis, 2010. "A model of personal income distribution with application to Italian data," Empirical Economics, Springer, vol. 39(2), pages 559-591, October.

    Cited by:

    1. Bertotti, M.L. & Chattopadhyay, A.K. & Modanese, G., 2017. "Stochastic effects in a discretized kinetic model of economic exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 724-732.
    2. Sung Y. Park & Anil K. Bera, 2018. "Information theoretic approaches to income density estimation with an application to the U.S. income data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(4), pages 461-486, December.
    3. Adams Vallejos & Ignacio Ormazabal & Felix A. Borotto & Hernan F. Astudillo, 2018. "A new $\kappa$-deformed parametric model for the size distribution of wealth," Papers 1805.06929, arXiv.org.
    4. Vallejos, Adams & Ormazábal, Ignacio & Borotto, Félix A. & Astudillo, Hernán F., 2019. "A new κ-deformed parametric model for the size distribution of wealth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 819-829.
    5. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    6. Yong Tao & Xiangjun Wu & Tao Zhou & Weibo Yan & Yanyuxiang Huang & Han Yu & Benedict Mondal & Victor M. Yakovenko, 2016. "Exponential Structure of Income Inequality: Evidence from 67 Countries," Papers 1612.01624, arXiv.org, revised Dec 2017.
    7. F. Clementi & M. Gallegati, 2016. "New economic windows on income and wealth: The k-generalized family of distributions," Papers 1608.06076, arXiv.org.
    8. Yuri Biondi & Simone Righi, 2019. "Inequality, mobility and the financial accumulation process: a computational economic analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(1), pages 93-119, March.
    9. Dorothée Boccanfuso & Patrick Richard & Luc Savard, 2012. "Parametric and nonparametric income distribution estimators in CGE micro-simulation modeling," EcoMod2012 4631, EcoMod.
    10. Alberto Russo, 2014. "A Stochastic Model of Wealth Accumulation with Class Division," Metroeconomica, Wiley Blackwell, vol. 65(1), pages 1-35, February.
    11. F. Clementi & M. Gallegati & G. Kaniadakis, 2012. "A generalized statistical model for the size distribution of wealth," Papers 1209.4787, arXiv.org, revised Dec 2012.
    12. Aktaev, Nurken E. & Bannova, K.A., 2022. "Mathematical modeling of probability distribution of money by means of potential formation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 595(C).
    13. Robert Grafstein, 2015. "Public pensions and the intergenerational politics of aging societies," Journal of Theoretical Politics, , vol. 27(3), pages 457-484, July.
    14. Boháčik Ján, 2022. "Financial shocks and their effects on velocity of money in agent-based model," Review of Economic Perspectives, Sciendo, vol. 22(4), pages 241-266, December.
    15. José María Sarabia & Vanesa Jordá & Lorena Remuzgo, 2017. "The Theil Indices in Parametric Families of Income Distributions—A Short Review," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 867-880, December.
    16. Fabio Clementi & Mauro Gallegati & Giorgio Kaniadakis, 2012. "A new model of income distribution: the κ-generalized distribution," Journal of Economics, Springer, vol. 105(1), pages 63-91, January.

  82. Domenico Gatti & Edoardo Gaffeo & Mauro Gallegati, 2010. "Complex agent-based macroeconomics: a manifesto for a new paradigm," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 5(2), pages 111-135, December.

    Cited by:

    1. Alessandro Taberna & Tatiana Filatova & Andrea Roventini & Francesco Lamperti, 2021. "Coping with increasing tides: technological change, agglomeration dynamics and climate hazards in an agent-based evolutionary model," LEM Papers Series 2021/44, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Taberna, Alessandro & Filatova, Tatiana & Roventini, Andrea & Lamperti, Francesco, 2022. "Coping with increasing tides: Evolving agglomeration dynamics and technological change under exacerbating hazards," Ecological Economics, Elsevier, vol. 202(C).
    3. Lengnick, Matthias, 2011. "Agent-based macroeconomics - a baseline model," Economics Working Papers 2011-04, Christian-Albrechts-University of Kiel, Department of Economics.
    4. Wei Zhao & Yi Lu & Genfu Feng, 2019. "How Many Agents are Rational in China’s Economy? Evidence from a Heterogeneous Agent-Based New Keynesian Model," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 575-611, August.
    5. Caiani, Alessandro & Godin, Antoine & Caverzasi, Eugenio & Gallegati, Mauro & Kinsella, Stephen & Stiglitz, Joseph E., 2016. "Agent based-stock flow consistent macroeconomics: Towards a benchmark model," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 375-408.
    6. Eugenio Caverzasi & Daniele Tori, 2018. "The Financial Innovation Hypothesis: Schumpeter, Minsky and the sub-prime mortgage crisis," Working Papers PKWP1815, Post Keynesian Economics Society (PKES).
    7. Theodore Tsekeris, 2017. "Network analysis of inter-sectoral relationships and key sectors in the Greek economy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 413-435, July.
    8. David G. Green, 2023. "Emergence in complex networks of simple agents," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 419-462, July.
    9. Di Guilmi, Corrado & Carvalho, Laura, 2017. "The dynamics of leverage in a demand-driven model with heterogeneous firms," Journal of Economic Behavior & Organization, Elsevier, vol. 140(C), pages 70-90.
    10. Olivér Kovács, 2019. "Grounding Complexity Economics in Framing Modern Governance," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 69(4), pages 571-594, December.
    11. Tommaso Ciarli & Andre Lorentz & Marco Valente & Mario Savona, 2017. "Structural Changes and Growth Regimes," SPRU Working Paper Series 2017-12, SPRU - Science Policy Research Unit, University of Sussex Business School.
    12. Mitja Steinbacher & Timotej Jagrič, 2020. "Interbank rules during economic declines: Can banks safeguard capital base?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(2), pages 471-499, April.
    13. Salvador Pueyo, 2014. "Ecological Econophysics for Degrowth," Sustainability, MDPI, vol. 6(6), pages 1-53, May.
    14. Isabelle Salle & Murat Yildizoglu & Marc-Alexandre Sénégas, 2012. "Inflation targeting in a learning economy: an ABM perspective," Post-Print hal-00798167, HAL.
    15. Corrado Di Guilmi & Laura Carvalho, 2015. "The dynamics of leverage in a Minskyan model with heterogenous firms," Working Paper Series 28, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    16. Lengnick, Matthias & Krug, Sebastian & Wohltmann, Hans-Werner, 2012. "Money creation and financial instability: An agent-based credit network approach," Economics Working Papers 2012-15, Christian-Albrechts-University of Kiel, Department of Economics.
    17. Rengs, Bernhard & Scholz-Waeckerle, Manuel, 2017. "Consumption & Class in Evolutionary Macroeconomics," MPRA Paper 80021, University Library of Munich, Germany.
    18. Gobbi, Alessandro & Grazzini, Jakob, 2019. "A basic New Keynesian DSGE model with dispersed information: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 101-116.
    19. Matthias Lengnick & Hans-Werner Wohltmann, 2013. "Agent-based financial markets and New Keynesian macroeconomics: a synthesis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 1-32, April.
    20. Ilker Arslan & Eugenio Caverzasi & Mauro Gallegati & Alper Duman, 2016. "Long Term Impacts of Bank Behavior on Financial Stability. an Agent Based Modeling Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(1), pages 1-11.
    21. Tommaso Ciarli & Andre' Lorentz & Maria Savona & Marco Valente, 2012. "The role of technology, organisation, and demand in growth and income distribution," LEM Papers Series 2012/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    22. George Judge, 2018. "Micro-Macro Connected Stochastic Dynamic Economic Behavior Systems," Econometrics, MDPI, vol. 6(4), pages 1-14, December.
    23. Bernhard Rengs & Manuel Scholz-Wäckerle, 2019. "Consumption & class in evolutionary macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 229-263, March.
    24. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).
    25. Ciarli, Tommaso & Valente, Marco, 2016. "The complex interactions between economic growth and market concentration in a model of structural change," Structural Change and Economic Dynamics, Elsevier, vol. 38(C), pages 38-54.
    26. Alan Karaev K. & А. Караев К., 2017. "Нелинейная динамическая модель взаимодействия фискальной и монетарной политик России // A Nonlinear Dynamic Model of the Russian Fiscal and Monetary Policy Interaction," Экономика. Налоги. Право // Economics, taxes & law, ФГОБУ "Финансовый университет при Правительстве Российской Федерации" // Financial University under The Government of Russian Federation, vol. 10(3), pages 43-51.
    27. Neveu, Andre R., 2013. "Fiscal policy and business cycle characteristics in a heterogeneous agent macro model," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 224-240.
    28. Pascal Seppecher & Isabelle Salle & Dany Lang, 2016. "Is the market really a good teacher ?," Post-Print hal-01314335, HAL.
    29. Robinson, Scott A. & Rai, Varun, 2015. "Determinants of spatio-temporal patterns of energy technology adoption: An agent-based modeling approach," Applied Energy, Elsevier, vol. 151(C), pages 273-284.
    30. Stolzenburg, Ulrich, 2015. "The agent-based Solow growth model with endogenous business cycles," Economics Working Papers 2015-01, Christian-Albrechts-University of Kiel, Department of Economics.
    31. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2016. "Does Inequality Hamper Innovation and Growth?," MPRA Paper 71864, University Library of Munich, Germany.
    32. Rengs, Bernhard & Scholz-Wäckerle, Manuel & van den Bergh, Jeroen, 2020. "Evolutionary macroeconomic assessment of employment and innovation impacts of climate policy packages," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 332-368.
    33. Davide Bazzana, 2020. "Ageing population and pension system sustainability: reforms and redistributive implications," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(3), pages 971-992, October.
    34. Özge Dilaver & Robert Jump & Paul Levine, 2016. "Agent-based Macroeconomics and Dynamic Stochastic General Equilibrium Models: Where do we go from here?," School of Economics Discussion Papers 0116, School of Economics, University of Surrey.
    35. Alessandro Caiani & Ermanno Catullo & Mauro Gallegati, 2018. "The effects of fiscal targets in a monetary union: a multi-country agent-based stock flow consistent model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1123-1154.
    36. Leopoldo S'anchez-Cant'u & Carlos Arturo Soto-Campos & Andriy Kryvko, 2016. "Evidence of Self-Organization in Time Series of Capital Markets," Papers 1604.03996, arXiv.org, revised Mar 2017.
    37. Walid F. Nasrallah & Karim A. Cheaib, 2016. "An equilibrium model of how regulative and normative institutions influence micro-economic and organizational behavior," Computational and Mathematical Organization Theory, Springer, vol. 22(4), pages 383-411, December.
    38. Wäckerle, Manuel, 2013. "On the bottom-up foundations of the banking-macro nexus," Economics Discussion Papers 2013-5, Kiel Institute for the World Economy (IfW Kiel).
    39. Alessandro Caiani & Antoine Godin & Stefano Lucarelli, 2012. "Innovation and Finance: An SFC Analysis of Great Surges of Development," Economics Working Paper Archive wp_733, Levy Economics Institute.
    40. Adão, Luiz F.S. & Silveira, Douglas & Ely, Regis A. & Cajueiro, Daniel O., 2022. "The impacts of interest rates on banks’ loan portfolio risk-taking," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    41. Fatouh, Mahmoud & Markose, Sheri & Giansante, Simone, 2021. "The impact of quantitative easing on UK bank lending: Why banks do not lend to businesses?," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 928-953.
    42. Michael S. Harr'e, 2018. "Multi-agent Economics and the Emergence of Critical Markets," Papers 1809.01332, arXiv.org.
    43. Bernhard Rengs & Manuel Scholz-Wäckerle & Ardjan Gazheli & Miklós Antal & Jeroen C.J.M. van den Bergh, 2015. "Testing Innovation, Employment and Distributional Impacts of Climate Policy Packages in a Macro-evolutionary Systems Setting. WWWforEurope Working Paper No. 83," WIFO Studies, WIFO, number 57891, Juni.
    44. Pasquale Cirillo & Mauro Gallegati, 2012. "The Empirical Validation of an Agent-based Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 38(4), pages 525-547.
    45. Суслов В.И. & Доможиров Д.А. & Ибрагимов Н.М. & Костин В.С. & Мельникова Л.В. & Цыплаков А.А., 2016. "Агент-Ориентированная Многорегиональная Модель “Затраты-Выпуск” Российской Экономики," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 52(1), pages 112-131, январь.
    46. Forrest Jeffrey Yi-Lin & Gong Zaiwu & Köse Erkan & Galbraith Diane D. & Arık Oğuzhan A., 2021. "An Economy’s Emergent Properties and How Micro Agents with Inconsistent or Conflicting Interests Are Holistically Organized into Macro Entities," Naše gospodarstvo/Our economy, Sciendo, vol. 67(3), pages 53-66, September.
    47. Hyuk Rhee & Nurlan Turdaliev, 2015. "Central bank policy instrument forecasts," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 221-245, October.
    48. Hazem KRICHENE & ARATA Yoshiyuki & Abhijit CHAKRABORTY & FUJIWARA Yoshi & INOUE Hiroyasu, 2018. "How Firms Choose their Partners in the Japanese Supplier-Customer Network? An application of the exponential random graph model," Discussion papers 18011, Research Institute of Economy, Trade and Industry (RIETI).

  83. Ramsey, James B. & Gallegati, Marco & Gallegati, Mauro & Semmler, Willi, 2010. "Instrumental variables and wavelet decompositions," Economic Modelling, Elsevier, vol. 27(6), pages 1498-1513, November.

    Cited by:

    1. Fratianni, Michele & Gallegati, Marco & Giri, Federico, 2022. "The medium-run Phillips curve: A time–frequency investigation for the UK," Journal of Macroeconomics, Elsevier, vol. 73(C).
    2. Marco Gallegati, 2018. "A systematic wavelet-based exploratory analysis of climatic variables," Climatic Change, Springer, vol. 148(1), pages 325-338, May.
    3. Gallegati, Marco & Ramsey, James B., 2013. "Structural change and phase variation: A re-examination of the q-model using wavelet exploratory analysis," Structural Change and Economic Dynamics, Elsevier, vol. 25(C), pages 60-73.
    4. Rizvi, Syed Aun R. & Arshad, Shaista & Alam, Nafis, 2015. "Crises and contagion in Asia Pacific — Islamic v/s conventional markets," Pacific-Basin Finance Journal, Elsevier, vol. 34(C), pages 315-326.
    5. Gallegati, Marco & Ramsey, James B., 2014. "The forward looking information content of equity and bond markets for aggregate investments," Journal of Economics and Business, Elsevier, vol. 75(C), pages 1-24.
    6. Gallegati, Marco & Ramsey, James B. & Semmler, Willi, 2014. "Interest rate spreads and output: A time scale decomposition analysis using wavelets," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 283-290.
    7. Fan He & Xuansen He, 2019. "A Continuous Differentiable Wavelet Shrinkage Function for Economic Data Denoising," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 729-761, August.
    8. McAdam, Peter & Bridji, Slim & Charpe, Matthieu, 2019. "Labor share and growth in the long run," Working Paper Series 2251, European Central Bank.
    9. Taheri Bazkhaneh , Saleh & Ehsani , Mohammad Ali & Gilak Hakimabadi , Mohammad Taqi & Farzinvash , Asodollah, 2018. "Analysis of the Relationship between the Business Cycle and Inflation Gap in Time-Frequency Domain," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 13(3), pages 401-422, July.
    10. Antonis A. Michis, 2021. "Wavelet Multidimensional Scaling Analysis of European Economic Sentiment Indicators," Journal of Classification, Springer;The Classification Society, vol. 38(3), pages 443-480, October.
    11. António Rua, 2016. "A wavelet-based multivariate multiscale approach for forecasting," Working Papers w201612, Banco de Portugal, Economics and Research Department.
    12. Gallegati, Marco & Ramsey, James B., 2013. "Bond vs stock market's Q: Testing for stability across frequencies and over time," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 138-150.

  84. Gallegati, M. & Palestrini, A., 2010. "The complex behavior of firms' size dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 75(1), pages 69-76, July.

    Cited by:

    1. Lina Cortés & Juan M. Lozada & Javier Perote, 2019. "Firm size and concentration inequality: A flexible extension of Gibrat’s law," Documentos de Trabajo de Valor Público 17205, Universidad EAFIT.
    2. Carl Chiarella & Corrado Di Guilmi, 2010. "The Financial Instability Hypothesis: A Stochastic Microfoundation Framework," Research Paper Series 273, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. Pedro Mazeda Gil & Fernanda Figueiredo, 2011. "Firm Size Distribution under Horizontal and Vertical Innovation," DEGIT Conference Papers c016_065, DEGIT, Dynamics, Economic Growth, and International Trade.
    4. Da Silva, Sergio & Matsushita, Raul & Giglio, Ricardo & Massena, Gunther, 2018. "Granularity of the top 1,000 Brazilian companies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 68-73.
    5. Antonio Palestrini, 2015. "Firm Size Distribution and the Survival Bias," Economics Bulletin, AccessEcon, vol. 35(3), pages 1630-1637.
    6. Soriano-Hernández, P. & del Castillo-Mussot, M. & Campirán-Chávez, I. & Montemayor-Aldrete, J.A., 2017. "Wealth of the world’s richest publicly traded companies per industry and per employee: Gamma, Log-normal and Pareto power-law as universal distributions?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 733-749.
    7. Segarra, Agustí & Teruel, Mercedes, 2012. "An appraisal of firm size distribution: Does sample size matter?," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 314-328.
    8. Guo, Jinzhong & Xu, Qi & Chen, Qinghua & Wang, Yougui, 2013. "Firm size distribution and mobility of the top 500 firms in China, the United States and the world," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(13), pages 2903-2914.
    9. Gao, Baojun & Chan, Wai Kin (Victor) & Li, Hongyi, 2015. "On the increasing inequality in size distribution of China's listed companies," China Economic Review, Elsevier, vol. 36(C), pages 25-41.
    10. Christian Cordes & Tong-Yaa Su & Pontus Strimling, 2019. "A critical human group size and firm size distributions in industries," Journal of Bioeconomics, Springer, vol. 21(2), pages 123-144, July.

  85. Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Russo, Alberto & Stiglitz, Joseph E., 2010. "The financial accelerator in an evolving credit network," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1627-1650, September.

    Cited by:

    1. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2023. "Enter the MATRIX model:a Multi-Agent model for Transition Risks with application to energy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    2. Alessandro Taberna & Tatiana Filatova & Andrea Roventini & Francesco Lamperti, 2021. "Coping with increasing tides: technological change, agglomeration dynamics and climate hazards in an agent-based evolutionary model," LEM Papers Series 2021/44, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Mandel, Antoine & Taghawi-Nejad, Davoud & Veetil, Vipin P., 2019. "The price effects of monetary shocks in a network economy," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 300-316.
    4. Mattia Guerini & Alessio Moneta & Mauro Napoletano & Andrea Roventini, 2018. "The Janus face nature of debt : results from a data-driven cointegrated SVAR approach," Sciences Po publications info:hdl:2441/574jpbbn0f8, Sciences Po.
    5. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," Working Papers hal-03459508, HAL.
    6. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    7. Sarah Wolf & Steffen Fürst & Antoine Mandel & Wiebke Lass & Daniel Lincke & Federico Pablo-Marti & Carlo Jaeger, 2013. "A multi-agent model of several economic regions," PSE-Ecole d'économie de Paris (Postprint) halshs-00825217, HAL.
    8. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    9. Dawid, H. & Harting, P. & Neugart, Michael, 2018. "Fiscal transfers and regional economic growth," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 110859, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    10. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Financialisation and crisis in an agent based macroeconomic model," Economic Modelling, Elsevier, vol. 52(PA), pages 162-172.
    11. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2020. "Are Higher Wages Good For Business? An Assessment Under Alternative Innovation And Investment Scenarios," Macroeconomic Dynamics, Cambridge University Press, vol. 24(1), pages 191-230, January.
    12. Ítalo Pedrosa & Dany Lang, 2018. "Heterogeneity, distribution and financial fragility of non-financial firms: an agent-based stock-flow consistent (AB-SFC) model," CEPN Working Papers hal-01937186, HAL.
    13. Gallegati, Mauro & Giammetti, Raffaele & Russo, Alberto, 2019. "Key sectors in Input-Output Production Networks: an application to Brexit," MPRA Paper 92559, University Library of Munich, Germany.
    14. Lv, Jiamin & Ben, Shenglin & Huang, Wenli & Xu, Yueling, 2023. "How to reduce the default contagion risk of intercorporate credit guarantee networks? Evidence from China," Emerging Markets Review, Elsevier, vol. 55(C).
    15. Taberna, Alessandro & Filatova, Tatiana & Roventini, Andrea & Lamperti, Francesco, 2022. "Coping with increasing tides: Evolving agglomeration dynamics and technological change under exacerbating hazards," Ecological Economics, Elsevier, vol. 202(C).
    16. Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Thomas Theobald & Achim Truger &, 2016. "Inequality and sustainability in a healing and fragmented European Union: Chapter 2," Sciences Po publications info:hdl:2441/6nf97io14q9, Sciences Po.
    17. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    18. Giammetti, Raffaele, 2019. "Tariffs, Domestic Import Substitution and Trade Diversion in Input-Output Production Networks: how to deal with Brexit," MPRA Paper 93229, University Library of Munich, Germany.
    19. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis," SciencePo Working papers Main hal-01070338, HAL.
    20. Luca RICCETTI & Alberto RUSSO & Mauro GALLEGATI, 2011. "Leveraged Network-Based Financial Accelerator," Working Papers 371, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    21. Otto, Christian & Willner, Sven Norman & Wenz, Leonie & Frieler, Katja & Levermann, Anders, 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," OSF Preprints 7yyhd, Center for Open Science.
    22. Marko Petrovic & Bulent Ozel & Andrea Teglio & Marco Raberto & Silvano Cincotti, 2017. "Eurace Open: An agent-based multi-country model," Working Papers 2017/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    23. Gérard Ballot & Antoine Mandel & Annick Vignes, 2015. "Agent-based modeling and economic theory: where do we stand?," PSE-Ecole d'économie de Paris (Postprint) halshs-01296643, HAL.
    24. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Joseph E. Stiglitz & Tania Treibich, 2020. "Rational Heuristics? Expectations And Behaviors In Evolving Economies With Heterogeneous Interacting Agents," Economic Inquiry, Western Economic Association International, vol. 58(3), pages 1487-1516, July.
    25. Caiani, Alessandro & Godin, Antoine & Caverzasi, Eugenio & Gallegati, Mauro & Kinsella, Stephen & Stiglitz, Joseph E., 2016. "Agent based-stock flow consistent macroeconomics: Towards a benchmark model," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 375-408.
    26. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    27. Michel Alexandre & Thiago Christiano Silva & Colm Connaughton & Francisco A. Rodrigues, 2021. "The Role of (non-)Topological Features as Drivers of Systemic Risk: a machine learning approach," Working Papers Series 556, Central Bank of Brazil, Research Department.
    28. Brancaccio, Emiliano & Giammetti, Raffaele & Lopreite, Milena & Puliga, Michelangelo, 2019. "Monetary policy, crisis and capital centralization in corporate ownership and control networks: A B-Var analysis," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 55-66.
    29. Herbert Dawid & Philipp Harting & Michael Neugart, 2014. "Cohesion Policy and Inequality Dynamics: Insights from a Heterogeneous Agents Macroeconomic Model," Gecomplexity Discussion Paper Series 5, Action IS1104 "The EU in the new complex geography of economic systems: models, tools and policy evaluation", revised Apr 2014.
    30. Di Guilmi, Corrado & Carvalho, Laura, 2017. "The dynamics of leverage in a demand-driven model with heterogeneous firms," Journal of Economic Behavior & Organization, Elsevier, vol. 140(C), pages 70-90.
    31. Caballero, Julian & Candelaria, Christopher & Hale, Galina, 2018. "Bank linkages and international trade," Journal of International Economics, Elsevier, vol. 115(C), pages 30-47.
    32. Russo, Alberto, 2017. "Dopo il keynesismo: teorie economiche per una (non-) politica economica [After Keynesianism: Economic Theories for a (non) Economic Policy]," MPRA Paper 83346, University Library of Munich, Germany.
    33. Ricetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial leverage in an agent based macroeconomic model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-44.
    34. Corrado Di Guilmi, 2017. "The Agent†Based Approach To Post Keynesian Macro†Modeling," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1183-1203, December.
    35. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    36. Emanuele Ciola & Enrico Turco & Andrea Gurgone & Davide Bazzana & Sergio Vergalli & Francesco Menoncin, 2022. "Charging the macroeconomy with an energy sector: an agent-based model," Working Papers 2022.09, Fondazione Eni Enrico Mattei.
    37. Deborah Noguera & Gabriel Montes-Rojas, 2023. "Minskyan model with credit rationing in a network economy," SN Business & Economics, Springer, vol. 3(3), pages 1-26, March.
    38. Michel Alexandre da Silva & Gilberto Tadeu Lima, 2015. "Combining Monetary Policy and Prudential Regulation: an agent-based modeling approach," Working Papers Series 394, Central Bank of Brazil, Research Department.
    39. Giovanni Dosi, 2023. "Why is economics the only discipline with so many curves going up and down? There is an alternative," LEM Papers Series 2023/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    40. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    41. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2012. "An Agent Based Decentralized Matching Macroeconomic Model," MPRA Paper 42211, University Library of Munich, Germany.
    42. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    43. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2022. "Energy price shocks and stabilization policies in a multi-agent macroeconomic model for the Euro Area," FEEM Working Papers 324171, Fondazione Eni Enrico Mattei (FEEM).
    44. Schasfoort, Joeri & Godin, Antoine & Bezemer, Dirk & Caiani, Alessandro & Kinsella, Stephen, 2017. "Monetary Policy Transmission in a Macroeconomic Agent-Based Model," Research Report 17010-GEM, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    45. Otto, C. & Willner, S.N. & Wenz, L. & Frieler, K. & Levermann, A., 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 232-269.
    46. Cardaci, Alberto, 2018. "Inequality, household debt and financial instability: An agent-based perspective," Journal of Economic Behavior & Organization, Elsevier, vol. 149(C), pages 434-458.
    47. Nikolaidi, Maria & Stockhammer, Engelbert, 2017. "Minsky models: a structured survey," Greenwich Papers in Political Economy 17739, University of Greenwich, Greenwich Political Economy Research Centre.
    48. Carl Chiarella & Corrado Di Guilmi, 2013. "Monetary Policy and Debt Deflation: Some Computational Experiments," CAMA Working Papers 2013-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    49. Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2016. "No Man is an Island: The Impact of Heterogeneity and Local Interactions on Macroeconomic Dynamics," Working Papers hal-03459315, HAL.
    50. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2019. "Winter is possibly not coming: mitigating financial instability in an agent-based model with interbank market," SciencePo Working papers Main hal-03403274, HAL.
    51. Vitali, Stefania & Battiston, Stefano & Gallegati, Mauro, 2016. "Financial fragility and distress propagation in a network of regions," Journal of Economic Dynamics and Control, Elsevier, vol. 62(C), pages 56-75.
    52. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2015. "Stock Market Dynamics, Leveraged Network-Based Financial Accelerator and Monetary Policy," MPRA Paper 63622, University Library of Munich, Germany.
    53. Yong Li & Ziyi Zhang & Tong Niu, 2022. "Two-Way Risk Spillover of Financial and Real Sectors in the Presence of Major Public Emergencies," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    54. Elena Deryugina & Alexey Ponomarenko, 2021. "Explaining the lead–lag pattern in the money–inflation relationship: a microsimulation approach," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1113-1128, September.
    55. Maeno, Yoshiharu, 2013. "Transient fluctuation of the prosperity of firms in a network economy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(16), pages 3351-3359.
    56. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2023. "Energy price shocks and stabilization policies in the MATRIX model," Energy Policy, Elsevier, vol. 177(C).
    57. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2012. "Income Distribution, Credit and Fiscal Policies in an Agent-Based Keynesian Model," Documents de Travail de l'OFCE 2012-06, Observatoire Francais des Conjonctures Economiques (OFCE).
    58. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2014. "Micro and Macro Policies in Keynes+Schumpeter Evolutionary Models," LEM Papers Series 2014/21, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    59. Mandel, Antoine & Landini, Simone & Gallegati, Mauro & Gintis, Herbert, 2015. "Price dynamics, financial fragility and aggregate volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 257-277.
    60. Carlos Madeira, 2019. "Measuring the Covariance Risk of Consumer Debt Portfolios," 2019 Meeting Papers 240, Society for Economic Dynamics.
    61. Pascal Seppecher & Isabelle Salle, 2015. "Deleveraging crises and deep recessions: a behavioural approach," Applied Economics, Taylor & Francis Journals, vol. 47(34-35), pages 3771-3790, July.
    62. Giovanni Dosi, 2022. "The Agenda for Evolutionary Economics: Results, Dead Ends, and Challenges Ahead," LEM Papers Series 2022/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    63. Simone Landini & Mauro Gallegati & Joseph Stiglitz, 2015. "Economies with heterogeneous interacting learning agents," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(1), pages 91-118, April.
    64. Levent Altinoglu, 2018. "The Origins of Aggregate Fluctuations in a Credit Network Economy," 2018 Meeting Papers 626, Society for Economic Dynamics.
    65. Szymon Chudziak, 2022. "On the sources of economic growth, structural consistency of agent-based models and mental-accounting consumer behaviour," KAE Working Papers 2022-073, Warsaw School of Economics, Collegium of Economic Analysis.
    66. Mattia Guerini & Francesco Lamperti & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2022. "Unconventional monetary policies in an agent-based model with mark-to-market standards," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 73-107, April.
    67. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2016. "The Short- and Long-Run Damages of Fiscal Austerity: Keynes beyond Schumpeter," International Economic Association Series, in: Joseph E. Stiglitz & Martin Guzman (ed.), Contemporary Issues in Macroeconomics, chapter 8, pages 79-100, Palgrave Macmillan.
    68. Yıldırım-Karaman, Seçil, 2018. "Uncertainty in financial markets and business cycles," Economic Modelling, Elsevier, vol. 68(C), pages 329-339.
    69. Michel Alexandre & Gilberto Tadeu Lima, 2019. "Macroeconomic Impacts of Trade Credit: An Agent-Based Modeling Exploration," Working Papers, Department of Economics 2019_31, University of São Paulo (FEA-USP).
    70. Steinbacher, Mitja & Raddant, Matthias & Karimi, Fariba & Camacho-Cuena, Eva & Alfarano, Simone & Iori, Giulia & Lux, Thomas, 2021. "Advances in the Agent-Based Modeling of Economic and Social Behavior," MPRA Paper 107317, University Library of Munich, Germany.
    71. Sui, Xin & Li, Liang, 2018. "Guarantee network model and risk contagion," Chaos, Solitons & Fractals, Elsevier, vol. 106(C), pages 323-329.
    72. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis: A New Tool for Economic and Policy Analysis," Sciences Po publications 3, Sciences Po.
    73. Stefan Ederer & Miriam Rehm, 2018. "Making sense of Piketty’s ‘fundamental laws’ in a Post-Keynesian framework," Working Papers PKWP1808, Post Keynesian Economics Society (PKES).
    74. Mauro Napoletano, 2018. "A short walk on the wild side : agent based models and their implications for macroeconomic analysis," SciencePo Working papers Main hal-03443471, HAL.
    75. Catullo, Ermanno & Gallegati, Mauro & Palestrini, Antonio, 2015. "Towards a credit network based early warning indicator for crises," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 78-97.
    76. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models," Post-Print hal-03461262, HAL.
    77. Mattia Guerini & Alessio Moneta & Mauro Napoletano & Andrea Roventini, 2017. "The Janus-faced nature of debt : results form a data driven cointegrated SVAR approach," Working Papers hal-03457555, HAL.
    78. Ilker Arslan & Eugenio Caverzasi & Mauro Gallegati & Alper Duman, 2016. "Long Term Impacts of Bank Behavior on Financial Stability. an Agent Based Modeling Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(1), pages 1-11.
    79. Alberto Russo & Luca Riccetti & Mauro Gallegati, 2016. "Increasing inequality, consumer credit and financial fragility in an agent based macroeconomic model," Journal of Evolutionary Economics, Springer, vol. 26(1), pages 25-47, March.
    80. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," EconomiX Working Papers 2012-17, University of Paris Nanterre, EconomiX.
    81. Gross, Marco, 2022. "Beautiful cycles: A theory and a model implying a curious role for interest," Economic Modelling, Elsevier, vol. 106(C).
    82. Martin Guzman & Peter Howitt, 2016. "Learning, Expectations, and the Financial Instability Hypothesis," International Economic Association Series, in: Joseph E. Stiglitz & Martin Guzman (ed.), Contemporary Issues in Macroeconomics, chapter 6, pages 50-60, Palgrave Macmillan.
    83. Ichiro Takahashi, 2021. "An Artificial Wicksell—Keynes Macroeconomy," Springer Books, Springer, number 978-981-16-6839-5, June.
    84. Michel Alexandre & Gilberto Tadeu Lima & Luca Riccetti & Alberto Russo, 2022. "The financial network channel of monetary policy transmission: An agent-based model," Working Papers 2022/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    85. Russo, Alberto & Zanini, Adelino, 2010. "On the expansion of finance and financialisation," MPRA Paper 26828, University Library of Munich, Germany.
    86. Alexandre, Michel & Silva, Thiago Christiano & Connaughton, Colm & Rodrigues, Francisco A., 2021. "The drivers of systemic risk in financial networks: a data-driven machine learning analysis," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
    87. Emanuele Russo, 2017. "Harrodian instability in decentralized economies: an agent-based approach," LEM Papers Series 2017/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    88. Antoine Godin & Stephen Kinsella, 2012. "Leverage, liquidity and crisis: A simulation study," ASSRU Discussion Papers 1205, ASSRU - Algorithmic Social Science Research Unit.
    89. Laivi Laidroo, 2014. "Lending Growth and Cyclicality in Central and Eastern European Banks," TUT Economic Research Series 13, Department of Finance and Economics, Tallinn University of Technology.
    90. Andrea Borsato, 2021. "Simple Matching Protocols for Agent-based Models," Working Papers of BETA 2021-35, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    91. Gian Paolo Clemente & Rosanna Grassi & Chiara Pederzoli, 2020. "Networks and market-based measures of systemic risk: the European banking system in the aftermath of the financial crisis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 159-181, January.
    92. Li, Zhinan & Pei, Shan & Li, Ting & Wang, Yu, 2023. "Risk spillover network in the supply chain system during the COVID-19 crisis: Evidence from China," Economic Modelling, Elsevier, vol. 126(C).
    93. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2014. "Fiscal and monetary policies in complex evolving economies," Working Papers hal-03460560, HAL.
    94. Russo, Alberto & Riccetti, Luca & Gallegati, Mauro, 2013. "Increasing Inequality and Financial Fragility in an An Agent Based Macroeconomic Model," MPRA Paper 51528, University Library of Munich, Germany.
    95. Wu, Xin & Bai, Xiao & Qi, Hanying & Lu, Lanxin & Yang, Mingyuan & Taghizadeh-Hesary, Farhad, 2023. "The impact of climate change on banking systemic risk," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 419-437.
    96. Leonardo Bargigli & Gabriele Tedeschi, 2013. "Major trends in agent-based economics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 211-217, October.
    97. Nathalie Lazaric & Silvano Cincotti & Wolfram Elsner & Anastasia Nesvetailova & Engelbert Stockhammer, 2020. "Towards an evolutionary political economy. Editorial to the inaugural issue of the Review of Evolutionary Political Economy REPE," Post-Print halshs-03000271, HAL.
    98. Rzeszutek, Marcin & Godin, Antoine & Szyszka, Adam & Augier, Stanislas, 2020. "Managerial overconfidence in initial public offering decisions and its impact on macrodynamics and financial stability: Analysis using an agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 118(C).
    99. Giammetti, Raffaele, 2019. "Tariffs, Domestic Import Substitution and Trade Diversion in Input-Output Production Networks: how to deal with Brexit," MPRA Paper 92835, University Library of Munich, Germany.
    100. Reissl, Severin, 2020. "Minsky from the bottom up – Formalising the two-price model of investment in a simple agent-based framework," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 109-142.
    101. Krug, Sebastian & Lengnick, Matthias & Wohltmann, Hans-Werner, 2014. "The impact of Basel III on financial (in)stability: An agent-based credit network approach," Economics Working Papers 2014-13, Christian-Albrechts-University of Kiel, Department of Economics.
    102. Emanuele Russo, 2021. "Harrodian instability in decentralized economies: an agent-based approach," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 539-567, July.
    103. Neveu, Andre R., 2013. "Fiscal policy and business cycle characteristics in a heterogeneous agent macro model," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 224-240.
    104. Kuhla, Kilian & Willner, Sven N & Otto, Christian & Levermann, Anders, 2023. "Resilience of international trade to typhoon-related supply disruptions," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    105. Gräbner, Claudius & Heimberger, Philipp & Kapeller, Jakob & Landesmann, Michael & Schütz, Bernhard, 2021. "The evolution of debtor-creditor relationships within a monetary union: Trade imbalances, excess reserves and economic policy," ifso working paper series 10, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    106. Hosszú, Zsuzsanna & Mérő, Bence, 2017. "Hitelciklusok és anticiklikus tőkepuffer egy ágensalapú keynesi modellben [Credit cycles and the counter-cyclical capital buffer in an agent-based Keynesian model]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 457-475.
    107. Hale, Galina, 2012. "Bank relationships, business cycles, and financial crises," Journal of International Economics, Elsevier, vol. 88(2), pages 312-325.
    108. Valentina Y. Guleva & Klavdiya O. Bochenina & Maria V. Skvorcova & Alexander V. Boukhanovsky, 2017. "A Simulation Tool for Exploring the Evolution of Temporal Interbank Networks," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(4), pages 1-15.
    109. Gaffeo Edoardo & Gobbi Lucio, 2021. "Achieving financial stability during a liquidity crisis: a multi-objective approach," Risk Management, Palgrave Macmillan, vol. 23(1), pages 48-74, June.
    110. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    111. Giovanni Dosi, 2012. "Economic Coordination and Dynamics: Some Elements of an Alternative "Evolutionary" Paradigm," LEM Papers Series 2012/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    112. Monasterolo,Irene & Mandel,Antoine & Battiston,Stefano & Mazzocchetti,Andrea & Oppermann,Klaus & Coony,Jonathan D'Entremont & Stretton,Stephen John & Stewart,Fiona Elizabeth & Dunz,Nepomuk Max Ferdina, 2022. "The Role of Green Financial Sector Initiatives in the Low-Carbon Transition : A Theoryof Change," Policy Research Working Paper Series 10181, The World Bank.
    113. Liang He & Shouwei Li, 2017. "Network Entropy and Systemic Risk in Dynamic Banking Systems," Complexity, Hindawi, vol. 2017, pages 1-7, November.
    114. Ciola, Emanuele & Gaffeo, Edoardo & Gallegati, Mauro, 2022. "Search for profits and business fluctuations: How does banks’ behaviour explain cycles?," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    115. Ashraf, Quamrul & Gershman, Boris & Howitt, Peter, 2017. "Banks, market organization, and macroeconomic performance: An agent-based computational analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 143-180.
    116. Burrows, Oliver & Cumming, Fergus, 2015. "Mapping the UK financial system," Bank of England Quarterly Bulletin, Bank of England, vol. 55(2), pages 114-129.
    117. Alberto Russo, 2014. "Elements of Novelty, Known Mechanisms, and the Fundamental Causes of the Recent Crisis," Journal of Economic Issues, Taylor & Francis Journals, vol. 48(3), pages 743-764.
    118. Alessandro Caiani & Alberto Russo & Mauro Gallegati, 2019. "Does inequality hamper innovation and growth? An AB-SFC analysis," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 177-228, March.
    119. Yuri Biondi & Feng Zhou, 2017. "Interbank Credit and the Money Manufacturing Process. A Systemic Perspective on Financial Stability," Papers 1702.08774, arXiv.org.
    120. Ferrari Minesso, Massimo, 2020. "Bank contagion in general equilibrium," Working Paper Series 2432, European Central Bank.
    121. Ichiro Takahashi, 2021. "Market Mechanism: Stabilizing or Destabilizing?," Springer Books, in: An Artificial Wicksell—Keynes Macroeconomy, chapter 0, pages 1-20, Springer.
    122. Brancaccio, Emiliano & Giammetti, Raffaele & Lopreite, Milena & Puliga, Michelangelo, 2018. "Centralization of capital and financial crisis: A global network analysis of corporate control," Structural Change and Economic Dynamics, Elsevier, vol. 45(C), pages 94-104.
    123. Xavier Timbeau & Signe Dahl & Georg Feigl & Xavier Timbeau & Xavier Timbeau & Andrew Watt, 2016. "The Elusive Recovery. Independent Annual Growth Survey (iAGS) 2017," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 164, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    124. He, Jianmin & Sui, Xin & Li, Shouwei, 2016. "An endogenous model of the credit network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 1-14.
    125. Levent Altinoglu, 2018. "The Origins of Aggregate Fluctuations in a Credit Network Economy," Finance and Economics Discussion Series 2018-031, Board of Governors of the Federal Reserve System (U.S.).
    126. Domenico Delli Gatti & Severin Reissl & Enrico Turco, 2021. "V for Vaccines and Variants," CESifo Working Paper Series 9291, CESifo.
    127. Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Thomas Theobald & Achim Truger &, 2016. "Macro economic trade-offs in the euro area: Chapter 4," Sciences Po publications info:hdl:2441/1hgg8g0cu68, Sciences Po.
      • Georg Feigl & Markus Marterbauer & Miriam Rehm & Matthias Schnetzer & Sepp Zuckerstätter & Lars Andersen & Thea Nissen & Signe Dahl & Peter Hohlfeld & Benjamin Lojak & Thomas Theobald & Achim Truger &, 2016. "The Elusive Recovery: iAGS 2017," Sciences Po publications info:hdl:2441/55823teuik9, Sciences Po.
    128. Assenza, Tiziana & Cardaci, Alberto & Delli Gatti, Domenico & Grazzini, Jakob, 2017. "Policy experiments in an agent-based model with credit networks," Economics Discussion Papers 2017-66, Kiel Institute for the World Economy (IfW Kiel).
    129. Papadopoulos, Georgios, 2020. "Probing the mechanism: lending rate setting in a data-driven agent-based model," MPRA Paper 102749, University Library of Munich, Germany.
    130. Di Guilmi, C. & Gallegati, M. & Landini, S. & Stiglitz, J.E., 2020. "An analytical solution for network models with heterogeneous and interacting agents," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 189-220.
    131. Lukáš Fiala & Petr Teplý, 2021. "The Use of Borrower-based Measures within Macroprudential Policy: Evidence from the European Economic Area," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2021(1), pages 71-91.
    132. Gurgone, Andrea & Iori, Giulia & Jafarey, Saqib, 2018. "The effects of interbank networks on efficiency and stability in a macroeconomic agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 257-288.
    133. Sui, Xin & Li, Liang & Chen, Xiaohui, 2020. "Risk contagion caused by interactions between credit and guarantee networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    134. Emanuele Ciola & Gabriele Tedeschi, 2021. "From interaction to business fluctuations: How credit network explain cycles," Working Papers 2021/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    135. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial factors in an agent-based macroeconomic model," Economics Discussion Papers 2013-9, Kiel Institute for the World Economy (IfW Kiel).
    136. Ichiro Takahashi & Isamu Okada, 2020. "An artificial Wicksell–Keynes economy integrating short-run business cycle and long-term cumulative trend," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 953-998, October.
    137. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046.
    138. Dawid, H. & Harting, P. & Neugart, M., 2014. "Economic convergence: Policy implications from a heterogeneous agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 44(C), pages 54-80.
    139. Alberto Cardaci & Francesco Saraceno, 2019. "Between Scylla And Charybdis: Income Distribution, Consumer Credit, And Business Cycles," Economic Inquiry, Western Economic Association International, vol. 57(2), pages 953-971, April.
    140. Ermanno Catullo & Antonio Palestrini & Ruggero Grilli & Mauro Gallegati, 2018. "Early warning indicators and macro-prudential policies: a credit network agent based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 81-115, April.
    141. Riccetti, Luca & Russo, Alberto & Mauro, Gallegati, 2013. "Financial Regulation in an Agent Based Macroeconomic Model," MPRA Paper 51013, University Library of Munich, Germany.
    142. Mitoko, Jeremiah, 2021. "Economics of Microcredit-From current crisis to new possibilities," MPRA Paper 108392, University Library of Munich, Germany.
    143. Terranova, Roberta & Turco, Enrico M., 2022. "Concentration, stagnation and inequality: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 569-595.
    144. Engelbert Stockhammer & Robert Calvert Jump & Karsten Kohler & Julian Cavallero, 2018. "Short and medium term financial-real cycles: An empirical assessment," FMM Working Paper 29-2018, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    145. Russo, Alberto, 2013. "Financial Fragility and Macroeconomic Instability in a Heterogeneous Interacting Agents Framework," MPRA Paper 46578, University Library of Munich, Germany.
    146. Andre R. Neveu, 2018. "A survey of network-based analysis and systemic risk measurement," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 241-281, July.
    147. Edoardo Gaffeo & Mauro Gallegati & Lucio Gobbi, 2022. "Endogenous clearinghouse formation in payment networks," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 109-136, April.
    148. Joseph E Stiglitz & Mauro Gallegati, 2011. "Heterogeneous Interacting Agent Models for Understanding Monetary Economies," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 6-12.
    149. Zhang, Minghui & He, Jianmin & Li, Shouwei, 2018. "Interbank lending, network structure and default risk contagion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 203-209.
    150. Ítalo Pedrosa & Dany Lang, 2021. "To what extent does aggregate leverage determine financial fragility? New insights from an agent-based stock-flow consistent model," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1221-1275, September.
    151. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    152. Curto, José Dias & Quinaz, Pedro Miguel Mateus Dias, 2016. "Prudential regulation in an artificial banking system," Economics Discussion Papers 2016-27, Kiel Institute for the World Economy (IfW Kiel).
    153. Deborah Noguera & Gabriel Montes-Rojas, 2022. "Credit-constrained fluctuations and uncertainty in a network economy," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(80), pages 5-52, November.
    154. Li, Shouwei & Sui, Xin, 2016. "Contagion risk in endogenous financial networks," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 591-597.
    155. Catullo, Ermanno & Gallegati, Mauro & Palestrini, Antonio, 2015. "Systemic risk and macro-prudential policies: A credit network-based approach," FinMaP-Working Papers 39, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    156. Daiki Asanuma, 2013. "Lending attitude as a financial accelerator in a credit network economy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 231-247, October.
    157. Bargigli, Leonardo & Gallegati, Mauro & Riccetti, Luca & Russo, Alberto, 2014. "Network analysis and calibration of the “leveraged network-based financial accelerator”," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 109-125.
    158. Caiani, Alessandro & Catullo, Ermanno & Gallegati, Mauro, 2019. "The effects of alternative wage regimes in a monetary union: A multi-country agent based-stock flow consistent model," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 389-416.

  86. Domenico Delli Gatti & Mauro Gallegati & Bruce Greenwald & Alberto Russo & Joseph Stiglitz, 2009. "Business fluctuations and bankruptcy avalanches in an evolving network economy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(2), pages 195-212, November.

    Cited by:

    1. ARATA Yoshiyuki, 2015. "Endogenous Business Cycles Caused by Nonconvex Costs and Interactions," Discussion papers 15085, Research Institute of Economy, Trade and Industry (RIETI).
    2. Salvador Pueyo, 2013. "Is it a power law distribution? The case of economic contractions," Papers 1310.2567, arXiv.org.
    3. Lv, Jiamin & Ben, Shenglin & Huang, Wenli & Xu, Yueling, 2023. "How to reduce the default contagion risk of intercorporate credit guarantee networks? Evidence from China," Emerging Markets Review, Elsevier, vol. 55(C).
    4. Xu, Yingying, 2020. "Will energy transitions impact financial systems?," Energy, Elsevier, vol. 194(C).
    5. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis," SciencePo Working papers Main hal-01070338, HAL.
    6. Ioana Maria BUCERZAN, 2015. "The Propagation Of Insolvency Among Business In Romania," EURINT, Centre for European Studies, Alexandru Ioan Cuza University, vol. 2, pages 64-79.
    7. Michele Caputo & Francesco Forte & Michela Mantovani, 2014. "Long-run and shorter-run criminal cycles in the public economics of public bads," Chapters, in: Francesco Forte & Ram Mudambi & Pietro Maria Navarra (ed.), A Handbook of Alternative Theories of Public Economics, chapter 22, pages 503-542, Edward Elgar Publishing.
    8. Roger Koppl & William Luther, 2012. "Hayek, Keynes, and modern macroeconomics," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 25(3), pages 223-241, September.
    9. Ricetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial leverage in an agent based macroeconomic model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-44.
    10. Cincotti, Silvano & Raberto, Marco & Teglio, Andrea, 2010. "Credit money and macroeconomic instability in the agent-based model and simulator Eurace," Economics Discussion Papers 2010-4, Kiel Institute for the World Economy (IfW Kiel).
    11. Michel Alexandre da Silva & Gilberto Tadeu Lima, 2015. "Combining Monetary Policy and Prudential Regulation: an agent-based modeling approach," Working Papers Series 394, Central Bank of Brazil, Research Department.
    12. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2012. "An Agent Based Decentralized Matching Macroeconomic Model," MPRA Paper 42211, University Library of Munich, Germany.
    13. Salvador Pueyo, 2014. "Ecological Econophysics for Degrowth," Sustainability, MDPI, vol. 6(6), pages 1-53, May.
    14. Joseph E. Stiglitz, 2011. "Rethinking Macroeconomics: What Failed, And How To Repair It," Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 591-645, August.
    15. Vitali, Stefania & Battiston, Stefano & Gallegati, Mauro, 2016. "Financial fragility and distress propagation in a network of regions," Journal of Economic Dynamics and Control, Elsevier, vol. 62(C), pages 56-75.
    16. Gabbi, Giampaolo & Iori, Giulia & Jafarey, Saqib & Porter, James, 2015. "Financial regulations and bank credit to the real economy," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 117-143.
    17. Luigi Bonatti & Andrea Fracasso & Roberto Tamborini, 2020. "COVID-19 and the Future of Quantitative Easing in the Euro Area: Three Scenarios with a Trilemma," DEM Working Papers 2020/11, Department of Economics and Management.
    18. Safarzyńska, Karolina & van den Bergh, Jeroen C.J.M., 2017. "Integrated crisis-energy policy: Macro-evolutionary modelling of technology, finance and energy interactions," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 119-137.
    19. Russo, Alberto, 2010. "Elementi di novità, meccanismi noti e cause di fondo della recente crisi [Elements of novelty, known mechanisms, and fundamental causes of the recent crisis]," MPRA Paper 21648, University Library of Munich, Germany.
    20. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis: A New Tool for Economic and Policy Analysis," Sciences Po publications 3, Sciences Po.
    21. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models," Post-Print hal-03461262, HAL.
    22. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2011. "Debt deleveraging and business cycles: An agent-based perspective," Economics Discussion Papers 2011-31, Kiel Institute for the World Economy (IfW Kiel).
    23. Marcus Box & Karl Gratzer & Xiang Lin, 2020. "Destructive entrepreneurship in the small business sector: bankruptcy fraud in Sweden, 1830–2010," Small Business Economics, Springer, vol. 54(2), pages 437-457, February.
    24. Ilker Arslan & Eugenio Caverzasi & Mauro Gallegati & Alper Duman, 2016. "Long Term Impacts of Bank Behavior on Financial Stability. an Agent Based Modeling Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(1), pages 1-11.
    25. Ichiro Takahashi, 2021. "An Artificial Wicksell—Keynes Macroeconomy," Springer Books, Springer, number 978-981-16-6839-5, June.
    26. Li, Zhinan & Pei, Shan & Li, Ting & Wang, Yu, 2023. "Risk spillover network in the supply chain system during the COVID-19 crisis: Evidence from China," Economic Modelling, Elsevier, vol. 126(C).
    27. Raffaella Calabrese & Galina Andreeva & Jake Ansell, 2019. "“Birds of a Feather” Fail Together: Exploring the Nature of Dependency in SME Defaults," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 71-84, January.
    28. C. Detotto & E. Otranto, 2010. "Cycles in Crime and Economy: Leading, Lagging and Coincident Behaviors," Working Paper CRENoS 201023, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    29. Yoshiyuki Arata, 2017. "Endogenous business cycles caused by nonconvex costs and interactions," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 367-391, July.
    30. Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Russo, Alberto & Stiglitz, Joseph E., 2010. "The financial accelerator in an evolving credit network," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1627-1650, September.
    31. C. Detotto & E. Otranto, 2011. "Cycles in Crime and Economy Revised," Working Paper CRENoS 201107, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    32. Domenico Gatti & Edoardo Gaffeo & Mauro Gallegati, 2010. "Complex agent-based macroeconomics: a manifesto for a new paradigm," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 5(2), pages 111-135, December.
    33. Liang He & Shouwei Li, 2017. "Network Entropy and Systemic Risk in Dynamic Banking Systems," Complexity, Hindawi, vol. 2017, pages 1-7, November.
    34. Kyu-Min Lee & Jae-Suk Yang & Gunn Kim & Jaesung Lee & Kwang-Il Goh & In-mook Kim, 2011. "Impact of the Topology of Global Macroeconomic Network on the Spreading of Economic Crises," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-11, March.
    35. Nadja König & Ingrid Größl, 2014. "Catching up with the Joneses and Borrowing Constraints: An Agent-based Analysis of Household Debt," Macroeconomics and Finance Series 201404, University of Hamburg, Department of Socioeconomics.
    36. Ichiro Takahashi, 2021. "Market Mechanism: Stabilizing or Destabilizing?," Springer Books, in: An Artificial Wicksell—Keynes Macroeconomy, chapter 0, pages 1-20, Springer.
    37. Brancaccio, Emiliano & Giammetti, Raffaele & Lopreite, Milena & Puliga, Michelangelo, 2018. "Centralization of capital and financial crisis: A global network analysis of corporate control," Structural Change and Economic Dynamics, Elsevier, vol. 45(C), pages 94-104.
    38. He, Jianmin & Sui, Xin & Li, Shouwei, 2016. "An endogenous model of the credit network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 1-14.
    39. Assenza, Tiziana & Cardaci, Alberto & Delli Gatti, Domenico & Grazzini, Jakob, 2017. "Policy experiments in an agent-based model with credit networks," Economics Discussion Papers 2017-66, Kiel Institute for the World Economy (IfW Kiel).
    40. Gurgone, Andrea & Iori, Giulia & Jafarey, Saqib, 2018. "The effects of interbank networks on efficiency and stability in a macroeconomic agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 257-288.
    41. Francesco Forte & Ram Mudambi & Pietro Maria Navarra (ed.), 2014. "A Handbook of Alternative Theories of Public Economics," Books, Edward Elgar Publishing, number 14898.
    42. Ichiro Takahashi & Isamu Okada, 2020. "An artificial Wicksell–Keynes economy integrating short-run business cycle and long-term cumulative trend," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 953-998, October.
    43. Poledna, Sebastian & Bochmann, Olaf & Thurner, Stefan, 2017. "Basel III capital surcharges for G-SIBs are far less effective in managing systemic risk in comparison to network-based, systemic risk-dependent financial transaction taxes," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 230-246.
    44. Passarella, Marco, 2011. "From the village fair to Wall Street. The Italian reception of Minsky’s economic thought," MPRA Paper 49593, University Library of Munich, Germany.
    45. Riccetti, Luca & Russo, Alberto & Mauro, Gallegati, 2013. "Financial Regulation in an Agent Based Macroeconomic Model," MPRA Paper 51013, University Library of Munich, Germany.
    46. Kyu-Min Lee & Jae-Suk Yang & Gunn Kim & Jaesung Lee & Kwang-Il Goh & In-mook Kim, 2010. "Impact of the topology of global macroeconomic network on the spreading of economic crises," Papers 1011.4336, arXiv.org, revised Apr 2011.
    47. Joseph E Stiglitz & Mauro Gallegati, 2011. "Heterogeneous Interacting Agent Models for Understanding Monetary Economies," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 6-12.
    48. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    49. Li, Shouwei & Sui, Xin, 2016. "Contagion risk in endogenous financial networks," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 591-597.
    50. Daiki Asanuma, 2013. "Lending attitude as a financial accelerator in a credit network economy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 231-247, October.
    51. Safarzyńska, Karolina & van den Bergh, Jeroen C.J.M., 2017. "Financial stability at risk due to investing rapidly in renewable energy," Energy Policy, Elsevier, vol. 108(C), pages 12-20.

  87. M. Gallegati & M. Gallegati & James B. Ramsey & Willi Semmler, 2009. "The US Wage Phillips Curve over Different Time Horizons," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 68(2), pages 113-148, July.

    Cited by:

    1. Gallegati, Marco & Ramsey, James B., 2013. "Bond vs stock market's Q: Testing for stability across frequencies and over time," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 138-150.

  88. G. Tedeschi & G. Iori & M. Gallegati, 2009. "The role of communication and imitation in limit order markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(4), pages 489-497, October.

    Cited by:

    1. Goldbaum, David, 2021. "The origins of influence," Economic Modelling, Elsevier, vol. 97(C), pages 380-396.
    2. Marko Petrovic & Bulent Ozel & Andrea Teglio & Marco Raberto & Silvano Cincotti, 2017. "Eurace Open: An agent-based multi-country model," Working Papers 2017/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    3. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    4. Fabio Della Rossa & Lorenzo Giannini & Pietro DeLellis, 2020. "Herding or wisdom of the crowd? Controlling efficiency in a partially rational financial market," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-16, September.
    5. Matthew Oldham, 2019. "Understanding How Short-Termism and a Dynamic Investor Network Affects Investor Returns: An Agent-Based Perspective," Complexity, Hindawi, vol. 2019, pages 1-21, July.
    6. Hernández, Juan Antonio & Benito, Rosa Marı´a & Losada, Juan Carlos, 2012. "An adaptive stochastic model for financial markets," Chaos, Solitons & Fractals, Elsevier, vol. 45(6), pages 899-908.
    7. Alessio Emanuele Biondo, 2020. "Information versus imitation in a real-time agent-based model of financial markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(3), pages 613-631, July.
    8. Wang, Guocheng & Wang, Yanyi, 2018. "Herding, social network and volatility," Economic Modelling, Elsevier, vol. 68(C), pages 74-81.
    9. Tedeschi, Gabriele & Iori, Giulia & Gallegati, Mauro, 2012. "Herding effects in order driven markets: The rise and fall of gurus," Journal of Economic Behavior & Organization, Elsevier, vol. 81(1), pages 82-96.
    10. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    11. Tóth, Bence & Palit, Imon & Lillo, Fabrizio & Farmer, J. Doyne, 2015. "Why is equity order flow so persistent?," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 218-239.
    12. Rocco Caferra & Gabriele Tedeschi & Andrea Morone, 2023. "Agents interaction and price dynamics: evidence from the laboratory," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 251-274, April.
    13. Simone Berardi & Gabriele Tedeschi, 2016. "How banks’ strategies influence financial cycles: An approach to identifying micro behavior," Working Papers 2016/24, Economics Department, Universitat Jaume I, Castellón (Spain).
    14. Recchioni, Maria Cristina & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "A calibration procedure for analyzing stock price dynamics in an agent-based framework," FinMaP-Working Papers 26, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    15. Ibrahim Filiz & Thomas Nahmer & Markus Spiwoks & Kilian Bizer, 2018. "Portfolio diversification: the influence of herding, status-quo bias, and the gambler’s fallacy," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 32(2), pages 167-205, May.
    16. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.
    17. Bence Toth & Imon Palit & Fabrizio Lillo & J. Doyne Farmer, 2011. "Why is order flow so persistent?," Papers 1108.1632, arXiv.org, revised Nov 2014.
    18. Sylvain Mignot & Gabriele Tedeschi & Annick Vignes, 2012. "An Agent Based Model of Switching: The Case of Boulogne S/mer Fish Market," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(2), pages 1-3.
    19. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046.
    20. Tedeschi, Gabriele & Gallegati, Mauro & Mignot, Sylvain & Vignes, Annick, 2012. "Lost in transactions: The case of the Boulogne s/mer fish market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1400-1407.
    21. David Vidal-Tomás & Rocco Caferra & Gabriele Tedeschi, 2022. "The day after tomorrow: financial repercussions of COVID-19 on systemic risk," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 169-192, April.
    22. Recchioni, Maria Cristina & Tedeschi, Gabriele & Berardi, Simone, 2014. "Bank's strategies during the financial crisis," FinMaP-Working Papers 25, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    23. Stefan, F.M. & Atman, A.P.F., 2015. "Is there any connection between the network morphology and the fluctuations of the stock market index?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 630-641.
    24. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    25. Maria Elvira Mancino & Maria Cristina Recchioni, 2015. "Fourier Spot Volatility Estimator: Asymptotic Normality and Efficiency with Liquid and Illiquid High-Frequency Data," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-33, September.

  89. Gallegati Mauro & Greenwald Bruce & Richiardi Matteo G & Stiglitz Joseph E., 2008. "The Asymmetric Effect of Diffusion Processes: Risk Sharing and Contagion," Global Economy Journal, De Gruyter, vol. 8(3), pages 1-22, September.
    See citations under working paper version above.
  90. Mauro Gallegati & Antonio Palestrini & Milena Petrini, 2008. "Cyclical Behavior Of Prices In The G7 Countries Through Wavelet Analysis," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 119-130.

    Cited by:

    1. António Rua & Luís Catela Nunes, 2012. "A wavelet-based assessment of market risk: The emerging markets case," Working Papers w201203, Banco de Portugal, Economics and Research Department.
    2. António Rua, 2010. "Measuring comovement in the time-frequency space," Working Papers w201001, Banco de Portugal, Economics and Research Department.
    3. António Rua & Artur Silva Lopes, 2015. "Cohesion within the euro area and the US: A wavelet-based view," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2014(2), pages 63-76.
    4. António Rua, 2011. "A wavelet approach for factor‐augmented forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(7), pages 666-678, November.
    5. Gazi Salah Uddin & Aviral Kumar Tiwari, 2013. "Measuring co-movement of oil price and exchange rate differential in Bangladesh," Economics Bulletin, AccessEcon, vol. 33(3), pages 1922-1930.

  91. D. Delli Gatti & C. Di Guilmi & M. Gallegati & E. Gaffeo & G. Giulioni & A. Palestrini, 2008. "Scaling Laws In The Macroeconomy," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 131-138.

    Cited by:

    1. Hernan Mondani, 2019. "Sector, industry and inter-organizational movement statistics in the Stockholm Region: informing organizational growth models," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 735-755, March.

  92. Di Guilmi, C. & Gallegati, M. & Landini, S., 2008. "Economic dynamics with financial fragility and mean-field interaction: A model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(15), pages 3852-3861.
    See citations under working paper version above.
  93. Edoardo Gaffeo & Domenico Delli Gatti & Saul Desiderio & Mauro Gallegati, 2008. "Adaptive Microfoundations for Emergent Macroeconomics," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 34(4), pages 441-463.
    See citations under working paper version above.
  94. Clementi, F. & Di Matteo, T. & Gallegati, M. & Kaniadakis, G., 2008. "The κ-generalized distribution: A new descriptive model for the size distribution of incomes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(13), pages 3201-3208.
    See citations under working paper version above.
  95. Bianchi, Carlo & Cirillo, Pasquale & Gallegati, Mauro & Vagliasindi, Pietro A., 2008. "Validation in agent-based models: An investigation on the CATS model," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 947-964, September.

    Cited by:

    1. Klabunde, Anna, 2014. "Computational Economic Modeling of Migration," Ruhr Economic Papers 471, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    2. Neugart, Michael & Richiardi, Matteo, 2018. "Agent-based models of the labor market," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 110862, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Giorgio Fagiolo & Paul Windrum & Alessio Moneta, 2006. "Empirical Validation of Agent Based Models: A Critical Survey," LEM Papers Series 2006/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Francesco Lamperti, 2018. "Empirical validation of simulated models through the GSL-div: an illustrative application," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 143-171, April.
    5. Guerini, Mattia & Moneta, Alessio, 2017. "A method for agent-based models validation," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 125-141.
    6. Francesco Lamperti, 2016. "Empirical Validation of Simulated Models through the GSL-div: an Illustrative Application," LEM Papers Series 2016/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Francesco Lamperti, 2015. "An Information Theoretic Criterion for Empirical Validation of Time Series Models," LEM Papers Series 2015/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    8. Pasquale Cirillo & Carlo Bianchi & Mauro Gallegati & Pietro Vagliasindi, 2006. "Validating and Calibrating Agent-based Models: a Case Study," Computing in Economics and Finance 2006 277, Society for Computational Economics.
    9. Fraccascia, Luca, 2020. "Quantifying the direct network effect for online platforms supporting industrial symbiosis: an agent-based simulation study," Ecological Economics, Elsevier, vol. 170(C).
    10. Siyan Chen & Saul Desiderio, 2022. "Calibration of Agent-Based Models by Means of Meta-Modeling and Nonparametric Regression," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1457-1478, December.
    11. Fraccascia, Luca & Yazan, Devrim Murat & Albino, Vito & Zijm, Henk, 2020. "The role of redundancy in industrial symbiotic business development: A theoretical framework explored by agent-based simulation," International Journal of Production Economics, Elsevier, vol. 221(C).
    12. Recchioni, Maria Cristina & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "A calibration procedure for analyzing stock price dynamics in an agent-based framework," FinMaP-Working Papers 26, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    13. Özge Dilaver & Robert Jump & Paul Levine, 2016. "Agent-based Macroeconomics and Dynamic Stochastic General Equilibrium Models: Where do we go from here?," School of Economics Discussion Papers 0116, School of Economics, University of Surrey.
    14. Jakob Grazzini & Matteo Richiardi, 2014. "Estimation of Ergodic Agent-Based Models by Simulated Minimum Distance," Economics Papers 2014-W07, Economics Group, Nuffield College, University of Oxford.
    15. Siyan Chen & Saul Desiderio, 2022. "A Regression-Based Calibration Method for Agent-Based Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 687-700, February.
    16. Grazzini, Jakob & Richiardi, Matteo, 2013. "Consistent Estimation of Agent-Based Models by Simulated Minimum Distance," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201335, University of Turin.
    17. Annalisa Fabretti, 2013. "On the problem of calibrating an agent based model for financial markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 277-293, October.
    18. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046.
    19. Pasquale Cirillo & Mauro Gallegati, 2012. "The Empirical Validation of an Agent-based Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 38(4), pages 525-547.
    20. Bargigli, Leonardo & Gallegati, Mauro & Riccetti, Luca & Russo, Alberto, 2014. "Network analysis and calibration of the “leveraged network-based financial accelerator”," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 109-125.

  96. Tola, Vincenzo & Lillo, Fabrizio & Gallegati, Mauro & Mantegna, Rosario N., 2008. "Cluster analysis for portfolio optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 235-258, January.
    See citations under working paper version above.
  97. C. Guilmi & F. Clementi & T. Matteo & M. Gallegati, 2008. "Social networks and labour productivity in Europe: an empirical investigation," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 3(1), pages 43-57, June.

    Cited by:

    1. Emanuele Pugliese & Lorenzo Napolitano & Andrea Zaccaria & Luciano Pietronero, 2019. "Coherent diversification in corporate technological portfolios," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-22, October.
    2. Roberto Ganau & Andres Rodriguez-Pose, 2023. "Firm-level productivity growth returns of social capital: Evidence from Western Europe," Papers in Evolutionary Economic Geography (PEEG) 2305, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Feb 2023.
    3. Anneli Kaasa, 2018. "Intangible factors and productivity: Evidence from Europe at the regional level," Business and Economic Horizons (BEH), Prague Development Center, vol. 14(2), pages 300-325, April.
    4. Finocchiaro Castro ,Massimo & Guccio, Calogero, 2023. "New wine in old bottle: Exploring the Corruption-inefficiency nexus using endogenous stochastic frontier approach," EconStor Preprints 275730, ZBW - Leibniz Information Centre for Economics.
    5. Roberto Ganau & Andrés Rodríguez‐Pose, 2023. "Firm‐level productivity growth returns of social capital: Evidence from Western Europe," Journal of Regional Science, Wiley Blackwell, vol. 63(3), pages 529-551, June.
    6. Rota, Mauro & Schettino, Francesco & Spinesi, Luca, 2017. "Key inventors, teams and firm performance: The Italian case," Structural Change and Economic Dynamics, Elsevier, vol. 42(C), pages 13-25.

  98. Gatti, Domenico Delli & Di Guilmi, Corrado & Gallegati, Mauro & Giulioni, Gianfranco, 2007. "Financial Fragility, Industrial Dynamics, And Business Fluctuations In An Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 11(S1), pages 62-79, November.

    Cited by:

    1. Gabriele Tedeschi & Amin Mazloumian & Mauro Gallegati & Dirk Helbing, 2012. "Bankruptcy Cascades in Interbank Markets," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-10, December.
    2. Corrado Di Guilmi, 2017. "The Agent†Based Approach To Post Keynesian Macro†Modeling," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1183-1203, December.
    3. Michel Alexandre da Silva & Gilberto Tadeu Lima, 2015. "Combining Monetary Policy and Prudential Regulation: an agent-based modeling approach," Working Papers Series 394, Central Bank of Brazil, Research Department.
    4. Döpke, J. & Funke, M. & Holly, S. & Weber, S., 2008. "The Cross-Section of Output and Inflation in a Dynamic Stochastic General Equilibrium Model with Sticky Prices," Cambridge Working Papers in Economics 0853, Faculty of Economics, University of Cambridge.
    5. Vitali, Stefania & Battiston, Stefano & Gallegati, Mauro, 2016. "Financial fragility and distress propagation in a network of regions," Journal of Economic Dynamics and Control, Elsevier, vol. 62(C), pages 56-75.
    6. Yıldırım-Karaman, Seçil, 2018. "Uncertainty in financial markets and business cycles," Economic Modelling, Elsevier, vol. 68(C), pages 329-339.
    7. Matteo Richiardi, 2003. "On the Use of Agent-Based Simulations," LABORatorio R. Revelli Working Papers Series 32, LABORatorio R. Revelli, Centre for Employment Studies.
    8. Michel Alexandre & Gilberto Tadeu Lima, 2019. "Macroeconomic Impacts of Trade Credit: An Agent-Based Modeling Exploration," Working Papers, Department of Economics 2019_31, University of São Paulo (FEA-USP).
    9. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    10. Ichiro Takahashi, 2021. "An Artificial Wicksell—Keynes Macroeconomy," Springer Books, Springer, number 978-981-16-6839-5, June.
    11. Michel Alexandre & Gilberto Tadeu Lima & Luca Riccetti & Alberto Russo, 2022. "The financial network channel of monetary policy transmission: An agent-based model," Working Papers 2022/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    12. Neveu, Andre R., 2013. "Fiscal policy and business cycle characteristics in a heterogeneous agent macro model," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 224-240.
    13. Ichiro Takahashi, 2021. "Market Mechanism: Stabilizing or Destabilizing?," Springer Books, in: An Artificial Wicksell—Keynes Macroeconomy, chapter 0, pages 1-20, Springer.
    14. J. Barkley Rosser Jr & Richard P.F. Holt & David Colander, 2010. "European Economics at a Crossroads," Books, Edward Elgar Publishing, number 13585.
    15. Edgardo Bucciarelli & Marcello Silvestri, 2013. "Hyman P. Minsky's unorthodox approach: recent advances in simulation techniques to develop his theoretical assumptions," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 36(2), pages 299-324.
    16. Ichiro Takahashi & Isamu Okada, 2020. "An artificial Wicksell–Keynes economy integrating short-run business cycle and long-term cumulative trend," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 953-998, October.
    17. Passarella, Marco, 2011. "From the village fair to Wall Street. The Italian reception of Minsky’s economic thought," MPRA Paper 49593, University Library of Munich, Germany.
    18. Barbara Dluhosch, 2011. "European Economics at a Crossroads, by J. Barkley Rosser, Jr., Richard P. F. Holt, and David Colander," Journal of Regional Science, Wiley Blackwell, vol. 51(3), pages 629-631, August.

  99. F. Clementi & M. Gallegati & G. Kaniadakis, 2007. "κ-generalized statistics in personal income distribution," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 57(2), pages 187-193, May.
    See citations under working paper version above.
  100. Carlo Bianchi & Pasquale Cirillo & Mauro Gallegati & Pietro Vagliasindi, 2007. "Validating and Calibrating Agent-Based Models: A Case Study," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 245-264, October.

    Cited by:

    1. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01499344, HAL.
    2. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    3. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    4. Francesco Lamperti, 2018. "Empirical validation of simulated models through the GSL-div: an illustrative application," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 143-171, April.
    5. Edoardo Gaffeo & Domenico Delli Gatti & Saul Desiderio & Mauro Gallegati, 2008. "Adaptive Microfoundations for Emergent Macroeconomics," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 34(4), pages 441-463.
    6. Iori, G. & Porter, J., 2012. "Agent-Based Modelling for Financial Markets," Working Papers 12/08, Department of Economics, City University London.
    7. Guerini, Mattia & Moneta, Alessio, 2017. "A method for agent-based models validation," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 125-141.
    8. Francesco Lamperti, 2016. "Empirical Validation of Simulated Models through the GSL-div: an Illustrative Application," LEM Papers Series 2016/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Mario Martinoli & Alessio Moneta & Gianluca Pallante, 2022. "Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search," LEM Papers Series 2022/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    10. Francesco Lamperti, 2015. "An Information Theoretic Criterion for Empirical Validation of Time Series Models," LEM Papers Series 2015/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. Bàrbara Llacay & Gilbert Peffer, 2018. "Using realistic trading strategies in an agent-based stock market model," Computational and Mathematical Organization Theory, Springer, vol. 24(3), pages 308-350, September.
    12. Bianchi, Carlo & Cirillo, Pasquale & Gallegati, Mauro & Vagliasindi, Pietro A., 2008. "Validation in agent-based models: An investigation on the CATS model," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 947-964, September.
    13. Garavaglia, Christian, 2010. "Modelling industrial dynamics with "History-friendly" simulations," Structural Change and Economic Dynamics, Elsevier, vol. 21(4), pages 258-275, November.
    14. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    15. Tobias Buchmann & Patrick Wolf & Stefan Fidaschek, 2021. "Stimulating E-Mobility Diffusion in Germany (EMOSIM): An Agent-Based Simulation Approach," Energies, MDPI, vol. 14(3), pages 1-25, January.
    16. Sylvain Barde & Ofce Observatoire Français Des Conjonctures Économiques, 2016. "Direct comparison of agent-based models of herding in financial markets," Post-Print hal-03604749, HAL.
    17. Crouse, Kristin N. & Desai, Nisarg P. & Cassidy, Kira A. & Stahler, Erin E. & Lehman, Clarence L. & Wilson, Michael L., 2022. "Larger territories reduce mortality risk for chimpanzees, wolves, and agents: Multiple lines of evidence in a model validation framework," Ecological Modelling, Elsevier, vol. 471(C).
    18. Siyan Chen & Saul Desiderio, 2022. "Calibration of Agent-Based Models by Means of Meta-Modeling and Nonparametric Regression," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1457-1478, December.
    19. Jakob Grazzini, 2011. "Consistent Estimation of Agent Based Models," LABORatorio R. Revelli Working Papers Series 110, LABORatorio R. Revelli, Centre for Employment Studies.
    20. Sylvain Barde, 2015. "Direct calibration and comparison of agent-based herding models of financial markets," Studies in Economics 1507, School of Economics, University of Kent.
    21. Alperen Bektas & Valentino Piana & René Schumann, 2021. "A meso-level empirical validation approach for agent-based computational economic models drawing on micro-data: a use case with a mobility mode-choice model," SN Business & Economics, Springer, vol. 1(6), pages 1-25, June.
    22. Donovan Platt, 2019. "A Comparison of Economic Agent-Based Model Calibration Methods," Papers 1902.05938, arXiv.org.
    23. Recchioni, Maria Cristina & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "A calibration procedure for analyzing stock price dynamics in an agent-based framework," FinMaP-Working Papers 26, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    24. D. Sornette, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based models," Papers 1404.0243, arXiv.org.
    25. Ge, Jiaqi, 2014. "Stepping into new territory: Three essays on agent-based computational economics and environmental economics," ISU General Staff Papers 201401010800004899, Iowa State University, Department of Economics.
    26. Didier SORNETTE, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based Models," Swiss Finance Institute Research Paper Series 14-25, Swiss Finance Institute.
    27. Stanislao Gualdi & Marco Tarzia & Francesco Zamponi & Jean-Philippe Bouchaud, 2017. "Monetary policy and dark corners in a stylized agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(3), pages 507-537, October.
    28. Jakob Grazzini & Matteo Richiardi, 2014. "Estimation of Ergodic Agent-Based Models by Simulated Minimum Distance," Economics Papers 2014-W07, Economics Group, Nuffield College, University of Oxford.
    29. Lamperti, Francesco, 2018. "An information theoretic criterion for empirical validation of simulation models," Econometrics and Statistics, Elsevier, vol. 5(C), pages 83-106.
    30. Jacky Mallett, 2015. "Threadneedle: An Experimental Tool for the Simulation and Analysis of Fractional Reserve Banking Systems," Papers 1502.06163, arXiv.org.
    31. Siyan Chen & Saul Desiderio, 2022. "A Regression-Based Calibration Method for Agent-Based Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 687-700, February.
    32. Grazzini, Jakob & Richiardi, Matteo, 2013. "Consistent Estimation of Agent-Based Models by Simulated Minimum Distance," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201335, University of Turin.
    33. Annalisa Fabretti, 2013. "On the problem of calibrating an agent based model for financial markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 277-293, October.
    34. Kotaro Ohori & Shingo Takahashi, 2012. "Market design for standardization problems with agent-based social simulation," Journal of Evolutionary Economics, Springer, vol. 22(1), pages 49-77, January.
    35. Kang Gao & Perukrishnen Vytelingum & Stephen Weston & Wayne Luk & Ce Guo, 2022. "Understanding intra-day price formation process by agent-based financial market simulation: calibrating the extended chiarella model," Papers 2208.14207, arXiv.org.
    36. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046.
    37. Grazzini Jakob, 2011. "Estimating Micromotives from Macrobehavior," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201111, University of Turin.
    38. Pasquale Cirillo & Mauro Gallegati, 2012. "The Empirical Validation of an Agent-based Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 38(4), pages 525-547.
    39. Olaru, Doina & Purchase, Sharon, 2014. "Rethinking validation: Efficient search of the space of parameters for an agent-based model," Australasian marketing journal, Elsevier, vol. 22(1), pages 60-68.
    40. Pau Segui-Gasco & Haris Ballis & Vittoria Parisi & David G. Kelsall & Robin J. North & Didac Busquets, 2019. "Simulating a rich ride-share mobility service using agent-based models," Transportation, Springer, vol. 46(6), pages 2041-2062, December.

  101. Russo, Alberto & Catalano, Michele & Gaffeo, Edoardo & Gallegati, Mauro & Napoletano, Mauro, 2007. "Industrial dynamics, fiscal policy and R&D: Evidence from a computational experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 64(3-4), pages 426-447.

    Cited by:

    1. Neugart, Michael & Richiardi, Matteo, 2018. "Agent-based models of the labor market," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 110862, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    3. Gallegati, Mauro & Kirman, Alan, 2019. "20 years of WEHIA: A journey in search of a safer road," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 5-14.
    4. Giovanni Dosi & Francesco Lamperti & Mariana Mazzucato & Mauro Napoletano & Andrea Roventini, 2021. "Mission-Oriented Policies and the "Entrepreneurial State" at Work: An Agent-Based Exploration," GREDEG Working Papers 2021-25, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    5. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    6. Dawid, H. & Harting, P. & Neugart, Michael, 2018. "Fiscal transfers and regional economic growth," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 110859, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    7. Chu, Zhuang & Yang, Biao & Ha, Chang Yong & Ahn, Kwangwon, 2018. "Modeling GDP fluctuations with agent-based model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 572-581.
    8. Lengnick, Matthias, 2011. "Agent-based macroeconomics - a baseline model," Economics Working Papers 2011-04, Christian-Albrechts-University of Kiel, Department of Economics.
    9. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    10. Antonio Acconcia & Sergio Beraldo & Carlo Capuano & Marco Stimolo, 2022. "Public subsidies and cooperation in research and development. Evidence from the lab," Working Papers 2022.02, Fondazione Eni Enrico Mattei.
    11. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis," SciencePo Working papers Main hal-01070338, HAL.
    12. Alan G. Isaac, 2019. "Exploring the Social-Architecture Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(4), pages 565-589, October.
    13. Chen, Siyan & Desiderio, Saul, 2017. "What moves the Beveridge curve and the Phillips curve: An agent-based analysis," Economics Discussion Papers 2017-65, Kiel Institute for the World Economy (IfW Kiel).
    14. Wei Zhao & Yi Lu & Genfu Feng, 2019. "How Many Agents are Rational in China’s Economy? Evidence from a Heterogeneous Agent-Based New Keynesian Model," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 575-611, August.
    15. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    16. Luca Eduardo Fierro & Federico Giri & Alberto Russo, 2023. "Inequality-Constrained Monetary Policy in a Financialized Economy," Working Papers 2023/02, Economics Department, Universitat Jaume I, Castellón (Spain).
    17. Ricetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial leverage in an agent based macroeconomic model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-44.
    18. Corrado Di Guilmi, 2017. "The Agent†Based Approach To Post Keynesian Macro†Modeling," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1183-1203, December.
    19. Giovanni Dosi, 2023. "Why is economics the only discipline with so many curves going up and down? There is an alternative," LEM Papers Series 2023/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    20. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    21. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2012. "An Agent Based Decentralized Matching Macroeconomic Model," MPRA Paper 42211, University Library of Munich, Germany.
    22. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    23. Catalano, Michele & Di Guilmi, Corrado, 2019. "Uncertainty, rationality and complexity in a multi-sectoral dynamic model: The dynamic stochastic generalized aggregation approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 117-144.
    24. Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2016. "No Man is an Island: The Impact of Heterogeneity and Local Interactions on Macroeconomic Dynamics," Working Papers hal-03459315, HAL.
    25. Lengnick, Matthias & Krug, Sebastian & Wohltmann, Hans-Werner, 2012. "Money creation and financial instability: An agent-based credit network approach," Economics Working Papers 2012-15, Christian-Albrechts-University of Kiel, Department of Economics.
    26. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Monetary policy and large crises in a financial accelerator agent-based model," FinMaP-Working Papers 65, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    27. Edoardo Gaffeo & Domenico Delli Gatti & Saul Desiderio & Mauro Gallegati, 2008. "Adaptive Microfoundations for Emergent Macroeconomics," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 34(4), pages 441-463.
    28. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2012. "Income Distribution, Credit and Fiscal Policies in an Agent-Based Keynesian Model," Documents de Travail de l'OFCE 2012-06, Observatoire Francais des Conjonctures Economiques (OFCE).
    29. Giovanni Dosi, 2022. "The Agenda for Evolutionary Economics: Results, Dead Ends, and Challenges Ahead," LEM Papers Series 2022/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    30. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2016. "The Short- and Long-Run Damages of Fiscal Austerity: Keynes beyond Schumpeter," International Economic Association Series, in: Joseph E. Stiglitz & Martin Guzman (ed.), Contemporary Issues in Macroeconomics, chapter 8, pages 79-100, Palgrave Macmillan.
    31. Gobbi, Alessandro & Grazzini, Jakob, 2019. "A basic New Keynesian DSGE model with dispersed information: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 101-116.
    32. Alessandro Caiani & Antoine Godin & Stefano Lucarelli, 2015. "Innovation and Finance: A Stock Flow Consistent Analysis of Great Surges of Development," Economic Complexity and Evolution, in: Andreas Pyka & John Foster (ed.), The Evolution of Economic and Innovation Systems, edition 127, pages 401-430, Springer.
    33. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis: A New Tool for Economic and Policy Analysis," Sciences Po publications 3, Sciences Po.
    34. Mauro Napoletano, 2018. "A short walk on the wild side : agent based models and their implications for macroeconomic analysis," SciencePo Working papers Main hal-03443471, HAL.
    35. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models," Post-Print hal-03461262, HAL.
    36. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," EconomiX Working Papers 2012-17, University of Paris Nanterre, EconomiX.
    37. Haber Gottfried, 2008. "Monetary and Fiscal Policy Analysis With an Agent-Based Macroeconomic Model," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 276-295, April.
    38. Neveu, Andre R., 2013. "Fiscal policy and business cycle characteristics in a heterogeneous agent macro model," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 224-240.
    39. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    40. Giovanni Dosi, 2012. "Economic Coordination and Dynamics: Some Elements of an Alternative "Evolutionary" Paradigm," LEM Papers Series 2012/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    41. Özge Dilaver & Robert Jump & Paul Levine, 2016. "Agent-based Macroeconomics and Dynamic Stochastic General Equilibrium Models: Where do we go from here?," School of Economics Discussion Papers 0116, School of Economics, University of Surrey.
    42. Igor Kheifets, 2011. "Goodness-of-fit testing (in Russian)," Quantile, Quantile, issue 9, pages 25-34, July.
    43. Shigeaki Ogibayashi & Kosei Takashima, 2017. "Influential factors responsible for the effect of tax reduction on GDP," Evolutionary and Institutional Economics Review, Springer, vol. 14(2), pages 431-449, December.
    44. Stefania VITALI & Gabriele TEDESCHI, 2011. "The impact of classes of innovators on Technology, Financial Fragility and Economic Growth," Working Papers 370, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    45. G. Fagiolo & A. Roventini, 2009. "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 6.
    46. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial factors in an agent-based macroeconomic model," Economics Discussion Papers 2013-9, Kiel Institute for the World Economy (IfW Kiel).
    47. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046.
    48. Riccetti, Luca & Russo, Alberto & Mauro, Gallegati, 2013. "Financial Regulation in an Agent Based Macroeconomic Model," MPRA Paper 51013, University Library of Munich, Germany.
    49. Pasquale Cirillo & Mauro Gallegati, 2012. "The Empirical Validation of an Agent-based Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 38(4), pages 525-547.
    50. Gabriele Tedeschi & Stefania Vitali & Mauro Gallegati, 2014. "The dynamic of innovation networks: a switching model on technological change," Journal of Evolutionary Economics, Springer, vol. 24(4), pages 817-834, September.
    51. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.
    52. Bargigli, Leonardo & Gallegati, Mauro & Riccetti, Luca & Russo, Alberto, 2014. "Network analysis and calibration of the “leveraged network-based financial accelerator”," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 109-125.

  102. Gallegati Marco & Gallegati Mauro, 2007. "Wavelet Variance Analysis of Output in G-7 Countries," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 11(3), pages 1-25, September.

    Cited by:

    1. Zainudin, Ahmad Danial & Mohamad, Azhar, 2021. "Cross hedging with stock index futures," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 128-144.
    2. António Rua & Luís Catela Nunes, 2012. "A wavelet-based assessment of market risk: The emerging markets case," Working Papers w201203, Banco de Portugal, Economics and Research Department.
    3. Krüger, Niclas, 2012. "Does infrastructure really cause growth?: the time scale dependent causality nexus between infrastructure investments and GDP," Working papers in Transport Economics 2012:15, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    4. Liu, Xueyong & An, Haizhong & Huang, Shupei & Wen, Shaobo, 2017. "The evolution of spillover effects between oil and stock markets across multi-scales using a wavelet-based GARCH–BEKK model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 374-383.
    5. Abid, Fathi & Kaffel, Bilel, 2018. "Time–frequency wavelet analysis of the interrelationship between the global macro assets and the fear indexes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1028-1045.
    6. Peter Martey Addo & Monica Billio & Dominique Guegan, 2012. "Alternative Methodology for Turning-Point Detection in Business Cycle : A Wavelet Approach," Post-Print halshs-00694420, HAL.
    7. Aguiar-Conraria, Luís & Wen, Yi, 2012. "OPEC's oil exporting strategy and macroeconomic (in)stability," Energy Economics, Elsevier, vol. 34(1), pages 132-136.
    8. Crowley, Patrick & Aaron, Schultz, 2010. "A New Approach to Analyzing Convergence and Synchronicity in Growth and Business Cycles: Cross Recurrence Plots and Quantification Analysis," MPRA Paper 23728, University Library of Munich, Germany.
    9. Chaker Aloui & Duc Khuong Nguyen, 2014. "On the detection of extreme movements and persistent behavior in Mediterranean stock markets: a wavelet-based approach," Working Papers 2014-184, Department of Research, Ipag Business School.
    10. Caraiani, Petre, 2012. "Money and output: New evidence based on wavelet coherence," Economics Letters, Elsevier, vol. 116(3), pages 547-550.
    11. Aguiar-Conraria, Luís & Martins, Manuel M.F. & Soares, Maria Joana, 2012. "The yield curve and the macro-economy across time and frequencies," Journal of Economic Dynamics and Control, Elsevier, vol. 36(12), pages 1950-1970.
    12. Aguiar-Conraria, Luís & Azevedo, Nuno & Soares, Maria Joana, 2008. "Using wavelets to decompose the time–frequency effects of monetary policy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2863-2878.
    13. Haven, Emmanuel & Liu, Xiaoquan & Shen, Liya, 2012. "De-noising option prices with the wavelet method," European Journal of Operational Research, Elsevier, vol. 222(1), pages 104-112.
    14. Sun, Qingru & Gao, Xiangyun & An, Haizhong & Guo, Sui & Liu, Xueyong & Wang, Ze, 2021. "Which time-frequency domain dominates spillover in the Chinese energy stock market?," International Review of Financial Analysis, Elsevier, vol. 73(C).
    15. João Martins, 2022. "Bond Yields Movement Similarities and Synchronization in the G7: A Time–Frequency Analysis," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(2), pages 189-214, July.
    16. Olaolu Richard Olayeni, 2016. "Causality in Continuous Wavelet Transform Without Spectral Matrix Factorization: Theory and Application," Computational Economics, Springer;Society for Computational Economics, vol. 47(3), pages 321-340, March.
    17. Liu, Xiaoquan & Cao, Yi & Ma, Chenghu & Shen, Liya, 2019. "Wavelet-based option pricing: An empirical study," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1132-1142.
    18. Caraiani, Petre, 2012. "Stylized facts of business cycles in a transition economy in time and frequency," Economic Modelling, Elsevier, vol. 29(6), pages 2163-2173.
    19. Yusoff, Yuzlizawati & Masih, Mansur, 2014. "Comovement of East and West Stock Market Indexes," MPRA Paper 58872, University Library of Munich, Germany.
    20. Crowley, Patrick M., 2010. "Long cycles in growth: explorations using new frequency domain techniques with US data," Bank of Finland Research Discussion Papers 6/2010, Bank of Finland.
    21. Caraiani, Petre, 2015. "Estimating DSGE models across time and frequency," Journal of Macroeconomics, Elsevier, vol. 44(C), pages 33-49.
    22. Krüger, Niclas A., 2012. "Estimating traffic demand risk – A multiscale analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1741-1751.
    23. Crowley, Patrick M. & Hudgins, David, 2015. "Euro area monetary and fiscal policy tracking design in the time-frequency domain," Bank of Finland Research Discussion Papers 12/2015, Bank of Finland.
    24. Mikael Svensson & Niclas Krüger, 2012. "Mortality and economic fluctuations," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(4), pages 1215-1235, October.
    25. Fernández Macho, Francisco Javier, 2011. "Wavelet multiple correlation and cross-correlation: A multiscale analysis of euro zone stock markets," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    26. Luís Aguiar-Conraria & Maria Soares, 2011. "Oil and the macroeconomy: using wavelets to analyze old issues," Empirical Economics, Springer, vol. 40(3), pages 645-655, May.
    27. Peter Martey Addo & Monica Billio & Dominique Guegan, 2012. "Studies in Nonlinear Dynamics and Wavelets for Business Cycle Analysis," Documents de travail du Centre d'Economie de la Sorbonne 12023r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Nov 2013.
    28. Haniff, Norazza Mohd & Masih, Mansur, 2016. "Shariah stocks as an inflation hedge in Malaysia," MPRA Paper 71681, University Library of Munich, Germany.
    29. Chakrabarti, Anindya S., 2016. "Stochastic Lotka–Volterra equations: A model of lagged diffusion of technology in an interconnected world," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 214-223.
    30. Dilip M. Nachane & Amlendu Dubey, 2021. "The Spectral Envelope: An Application to the Decoupling Problem in Economics," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 287-308, December.
    31. Erdost Torun & Afife Duygu Ayhan Akdeniz & Erhan Demireli & Simon Grima, 2022. "Long-Term US Economic Growth and the Carbon Dioxide Emissions Nexus: A Wavelet-Based Approach," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
    32. Bilgili, Faik & Kocak, Emrah & Kuskaya, Sevda & Bulut, Umit, 2022. "Co-movements and causalities between ethanol production and corn prices in the USA: New evidence from wavelet transform analysis," Energy, Elsevier, vol. 259(C).
    33. Stelios Bekiros & Duc Khuong Nguyen & Gazi Salah Uddin & Bo Sjö, 2014. "Business Cycle (De)Synchronization in the Aftermath of the Global Financial Crisis: Implications for the Euro Area," Working Papers 2014-437, Department of Research, Ipag Business School.
    34. Joanna Bruzda, 2011. "Business cycle synchronization according to wavelets – the case of Poland and the euro zone member countries," Bank i Kredyt, Narodowy Bank Polski, vol. 42(3), pages 5-32.
    35. Dilip Nachane & Amlendu Dubey, 2018. "India in the globalized economy : Growth spillovers & business cycle synchronization," International Economics and Economic Policy, Springer, vol. 15(1), pages 89-115, January.
    36. Aguiar-Conraria, Luis & Brinca, Pedro & Gudjonsson, Haukur & Soares, Joana, 2015. "Optimal currency area and business cycle synchronization across U.S. states," MPRA Paper 62125, University Library of Munich, Germany.
    37. Grané, Aurea & Veiga, Helena, 2010. "Wavelet-based detection of outliers in financial time series," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2580-2593, November.
    38. Magazzino, Cosimo & Mutascu, Mihai Ioan, 2022. "The Italian fiscal sustainability in a long-run perspective," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    39. Crowley, Patrick M. & Hughes Hallett, Andrew, 2015. "Great moderation or “Will o’ the Wisp”? A time–frequency decomposition of GDP for the US and UK," Journal of Macroeconomics, Elsevier, vol. 44(C), pages 82-97.
    40. Constantin Gurdgiev & Conor O’Riordan, 2021. "A Wavelet Perspective of Crisis Contagion between Advanced Economies and the BRIC Markets," JRFM, MDPI, vol. 14(10), pages 1-29, October.
    41. Mustapha Djennas & Mohamed Benbouziane & Meriem Djennas, 2013. "Business Cycle Synchronization in Euro Area and GCC Countries: A Wavelets-GA Approach," Working Papers 772, Economic Research Forum, revised Sep 2013.
    42. Mutascu, Mihai, 2018. "A time-frequency analysis of trade openness and CO2 emissions in France," Energy Policy, Elsevier, vol. 115(C), pages 443-455.
    43. Luís Aguiar-Conraria & Maria Joana Soares, 2014. "The Continuous Wavelet Transform: Moving Beyond Uni- And Bivariate Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 344-375, April.
    44. Feng, Sida & Huang, Shupei & Qi, Yabin & Liu, Xueyong & Sun, Qingru & Wen, Shaobo, 2018. "Network features of sector indexes spillover effects in China: A multi-scale view," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 461-473.
    45. Meinl Thomas & Sun Edward W., 2012. "A Nonlinear Filtering Algorithm based on Wavelet Transforms for High-Frequency Financial Data Analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(3), pages 1-24, September.
    46. Chakrabarti, Anindya S., 2015. "Stochastic Lotka-Volterra equations: A model of lagged diffusion of technology in an interconnected world," IIMA Working Papers WP2015-08-05, Indian Institute of Management Ahmedabad, Research and Publication Department.
    47. Gandjon Fankem, Gislain Stéphane & Fouda Mbesa, Lucien Cédric, 2023. "Business cycle synchronization and African monetary union: A wavelet analysis," Journal of Macroeconomics, Elsevier, vol. 77(C).
    48. Zainudin, Ahmad Danial & Mohamad, Azhar, 2021. "Financial contagion in the futures markets amidst global geo-economic events," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 288-308.

  103. Gaffeo, E. & Catalano, M. & Clementi, F. & Delli Gatti, D. & Gallegati, M. & Russo, A., 2007. "Reflections on modern macroeconomics: Can we travel along a safer road?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 89-97.
    See citations under working paper version above.
  104. Battiston, Stefano & Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Stiglitz, Joseph E., 2007. "Credit chains and bankruptcy propagation in production networks," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2061-2084, June.

    Cited by:

    1. Giulia De Masi & Giorgia Giovannetti & Giorgio Ricchiuti, 2010. "Network Analysis to Detect Common Strategies in the Italian Foreign Direct Investment," Working Papers - Economics wp2010_17.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    2. Fanny Henriet & Stéphane Hallegatte & Lionel Tabourier, 2012. "Firm-network characteristics and economic robustness to natural disasters," Post-Print hal-00716554, HAL.
    3. Salvador Pueyo, 2013. "Is it a power law distribution? The case of economic contractions," Papers 1310.2567, arXiv.org.
    4. Mizgier, Kamil J. & Wagner, Stephan M. & Holyst, Janusz A., 2012. "Modeling defaults of companies in multi-stage supply chain networks," International Journal of Production Economics, Elsevier, vol. 135(1), pages 14-23.
    5. Pawe{l} Sieczka & Didier Sornette & Janusz A. Ho{l}yst, 2010. "The Lehman Brothers Effect and Bankruptcy Cascades," Papers 1002.1070, arXiv.org, revised Sep 2011.
    6. Atushi Ishikawa & Shouji Fujimoto & Takayuki Mizuno & Tsutomu Watanabe, 2014. "Analytical Derivation of Power Laws in Firm Size Variables from Gibrat’s Law and Quasi-inversion Symmetry: A Geomorphological Approach," UTokyo Price Project Working Paper Series 019, University of Tokyo, Graduate School of Economics.
    7. Ogura, Yoshiaki & Okui, Ryo & Saito, Yukiko Umeno, 2015. "Network-Motivated Lending Decisions," HIT-REFINED Working Paper Series 29, Institute of Economic Research, Hitotsubashi University.
    8. INOUE Hiroyasu & TODO Yasuyuki, 2018. "Firm-level Simulation of Supply Chain Disruption Triggered by Actual and Predicted Earthquakes," Discussion papers 18013, Research Institute of Economy, Trade and Industry (RIETI).
    9. Gallegati, Mauro & Giammetti, Raffaele & Russo, Alberto, 2019. "Key sectors in Input-Output Production Networks: an application to Brexit," MPRA Paper 92559, University Library of Munich, Germany.
    10. Xu, Yingying, 2020. "Will energy transitions impact financial systems?," Energy, Elsevier, vol. 194(C).
    11. He, Fang & Chen, Xi, 2016. "Credit networks and systemic risk of Chinese local financing platforms: Too central or too big to fail?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 158-170.
    12. Giammetti, Raffaele, 2019. "Tariffs, Domestic Import Substitution and Trade Diversion in Input-Output Production Networks: how to deal with Brexit," MPRA Paper 93229, University Library of Munich, Germany.
    13. Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2020. "In and out of lockdown: Propagation of supply and demand shocks in a dynamic input-output model," INET Oxford Working Papers 2021-18, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised Feb 2021.
    14. Paulo Garrido & Pedro Campos & André Dias, 2015. "Balance Sheet Analysis Of Credit And Debt Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 18(05n06), pages 1-18, August.
    15. Antoine Mandel & Vipin Veetil, 2021. "Monetary dynamics in a network economy," PSE-Ecole d'économie de Paris (Postprint) halshs-03165773, HAL.
    16. Stanislao Gualdi & Antoine Mandel, 2015. "On the emergence of scale-free production networks," Documents de travail du Centre d'Economie de la Sorbonne 15060, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    17. Andrea Fracasso & Stefano Schiavo, 2009. "Trade-imbalances networks and exchange rate adjustments: the paradox of a new Plaza. The XIVth Spring Meeting of Young Economists (SMYE-2009), Istanbul, April 2009," Sciences Po publications info:hdl:2441/10028, Sciences Po.
    18. Michel Alexandre & Thiago Christiano Silva & Colm Connaughton & Francisco A. Rodrigues, 2021. "The Role of (non-)Topological Features as Drivers of Systemic Risk: a machine learning approach," Working Papers Series 556, Central Bank of Brazil, Research Department.
    19. Gabriele Tedeschi & Amin Mazloumian & Mauro Gallegati & Dirk Helbing, 2012. "Bankruptcy Cascades in Interbank Markets," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-10, December.
    20. Alexander Gutfraind, 2010. "Optimizing Topological Cascade Resilience Based on the Structure of Terrorist Networks," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-7, November.
    21. Göttlich, S. & Herty, M. & Ringhofer, C., 2010. "Optimization of order policies in supply networks," European Journal of Operational Research, Elsevier, vol. 202(2), pages 456-465, April.
    22. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    23. Takayuki Mizuno & Wataru Souma & Tsutomu Watanabe, 2014. "The Structure and Evolution of Buyer-Supplier Networks," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-10, July.
    24. Henry, Jérôme & Zimmermann, Maik & Leber, Miha & Kolb, Markus & Grodzicki, Maciej & Amzallag, Adrien & Vouldis, Angelos & Hałaj, Grzegorz & Pancaro, Cosimo & Gross, Marco & Baudino, Patrizia & Sydow, , 2013. "A macro stress testing framework for assessing systemic risks in the banking sector," Occasional Paper Series 152, European Central Bank.
    25. Mizuno, Takayuki & Souma, Wataru & Watanabe, Tsutomu, 2014. "The Structure and Evolution of Buyer-Supplier Networks," Working Paper Series 27, Center for Interfirm Network, Institute of Economic Research, Hitotsubashi University.
    26. Antoine Mandel & Vipin Veetil, 2020. "The Economic Cost of COVID Lockdowns: An Out-of-Equilibrium Analysis," Post-Print halshs-03043350, HAL.
    27. Spiros Bougheas & Alan Kirman, 2015. "Complex Financial Networks and Systemic Risk: A Review," Post-Print hal-01505785, HAL.
    28. Javier Reyes & Giorgio Fagiolo & Stefano Schiavo, 2008. "Using a complex weighted-network approach to assess the evolution of international economic integration: The cases of East Asia and Latin America," LEM Papers Series 2008/10, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    29. Joseph E. Stiglitz, 2013. "Stable Growth in an Era of Crises; Learning from Economic Theory and History," Ekonomi-tek - International Economics Journal, Turkish Economic Association, vol. 2(1), pages 1-39, January.
    30. Salvador Pueyo, 2014. "Ecological Econophysics for Degrowth," Sustainability, MDPI, vol. 6(6), pages 1-53, May.
    31. Anna Ferragina & Fernanda Mazzotta, 2015. "Agglomeration economies in Italy: impact on heterogeneous firms’ exit in a multilevel framework," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 42(4), pages 395-440, December.
    32. Giorgio Fagiolo & Javier Reyes & Stefano Schiavo, 2007. "Using Complex Network Analysis to Assess the Evolution of International Economic Integration: The cases of East Asia and Latin America," Sciences Po publications 2007/25, Sciences Po.
    33. Stéphane Hallegatte, 2014. "Modeling the Role of Inventories and Heterogeneity in the Assessment of the Economic Costs of Natural Disasters," Post-Print hal-01239785, HAL.
    34. MIZUNO Takayuki & SOUMA Wataru & WATANABE Tsutomu, 2015. "Buyer-Supplier Networks and Aggregate Volatility," Discussion papers 15056, Research Institute of Economy, Trade and Industry (RIETI).
    35. Jan Lorenz & Stefano Battiston & Frank Schweitzer, "undated". "Systemic Risk in a Unifying Framework for Cascading Processes on Networks," Working Papers CCSS-09-011, ETH Zurich, Chair of Systems Design.
    36. Joseph E. Stiglitz, 2011. "Rethinking Macroeconomics: What Failed, And How To Repair It," Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 591-645, August.
    37. Stef, Nicolae, 2022. "How does legal design affect the initiation of a firm's bankruptcy?," Economic Modelling, Elsevier, vol. 114(C).
    38. Vitali, Stefania & Battiston, Stefano & Gallegati, Mauro, 2016. "Financial fragility and distress propagation in a network of regions," Journal of Economic Dynamics and Control, Elsevier, vol. 62(C), pages 56-75.
    39. Stanislao Gualdi & Antoine Mandel, 2019. "Endogenous growth in production networks," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 91-117, March.
    40. Chih-Yang Tsai, 2017. "The impact of cost structure on supply chain cash flow risk," International Journal of Production Research, Taylor & Francis Journals, vol. 55(22), pages 6624-6637, November.
    41. Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2022. "Forecasting the propagation of pandemic shocks with a dynamic input-output model," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    42. Takayuki Mizuno & Wataru Souma & Tsutomu Watanabe, 2014. "Buyer-Supplier Networks and Aggregate Volatility," UTokyo Price Project Working Paper Series 033, University of Tokyo, Graduate School of Economics.
    43. Simone LENZU & Gabriele TEDESCHI, 2012. "Systemic risk on different interbank network topologies," Working Papers 375, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    44. Mandel, Antoine & Landini, Simone & Gallegati, Mauro & Gintis, Herbert, 2015. "Price dynamics, financial fragility and aggregate volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 257-277.
    45. Safarzyńska, Karolina & van den Bergh, Jeroen C.J.M., 2017. "Integrated crisis-energy policy: Macro-evolutionary modelling of technology, finance and energy interactions," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 119-137.
    46. Carlos Madeira, 2019. "Measuring the Covariance Risk of Consumer Debt Portfolios," 2019 Meeting Papers 240, Society for Economic Dynamics.
    47. Zhen Chen & Jun Zhang & Wen-Bo Du & Oriol Lordan & Jiangjun Tang, 2015. "Optimal Allocation of Node Capacity in Cascade-Robustness Networks," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-12, October.
    48. Berloco, Claudia & Argiento, Raffaele & Montagna, Silvia, 2023. "Forecasting short-term defaults of firms in a commercial network via Bayesian spatial and spatio-temporal methods," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1065-1077.
    49. Hazama, Makoto & Uesugi, Iichiro, 2012. "Measuring the Systemic Risk in Interfirm Transaction Networks," Working Paper Series 20, Center for Interfirm Network, Institute of Economic Research, Hitotsubashi University.
    50. Charles Brummitt & Kenan Huremović & Paolo Pin & Matthew Bonds & Fernando Vega-Redondo, 2017. "Contagious disruptions and complexity traps in economic development," Post-Print hal-03589004, HAL.
    51. Błażej Prusak, 2018. "Review of Research into Enterprise Bankruptcy Prediction in Selected Central and Eastern European Countries," IJFS, MDPI, vol. 6(3), pages 1-28, June.
    52. Takayuki Mizuno & Wataru Souma & Tsutomu Watanabe, 2014. "Buyer-Supplier Networks and Aggregate Volatility," CARF F-Series CARF-F-353, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    53. Beaver, William H & Cascino, Stefano & Correia, Maria & McNichols, Maureen F., 2023. "Bankruptcy in groups," LSE Research Online Documents on Economics 118590, London School of Economics and Political Science, LSE Library.
    54. Michel Alexandre & Gilberto Tadeu Lima, 2019. "Macroeconomic Impacts of Trade Credit: An Agent-Based Modeling Exploration," Working Papers, Department of Economics 2019_31, University of São Paulo (FEA-USP).
    55. Weisbuch, Gérard & Battiston, Stefano, 2007. "From production networks to geographical economics," Journal of Economic Behavior & Organization, Elsevier, vol. 64(3-4), pages 448-469.
    56. Silvano Cincotti & Marco Raberto & Andrea Teglio, 2022. "Why do we need agent-based macroeconomics?," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 5-29, April.
    57. Guido Caldarelli & Matthieu Cristelli & Andrea Gabrielli & Luciano Pietronero & Antonio Scala & Andrea Tacchella, 2012. "A Network Analysis of Countries’ Export Flows: Firm Grounds for the Building Blocks of the Economy," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-11, October.
    58. Aymeric Vié & Alfredo J. Morales, 2021. "How Connected is Too Connected? Impact of Network Topology on Systemic Risk and Collapse of Complex Economic Systems," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1327-1351, April.
    59. Stef, Nicolae & Bissieux, Jean-Joachim, 2022. "Resolution of corporate insolvency during COVID-19 pandemic. Evidence from France," International Review of Law and Economics, Elsevier, vol. 70(C).
    60. Farmer, J. Doyne & Kleinnijenhuis, Alissa & Wetzer, Thom & Aymanns, Christopher, 2018. "Models of Financial Stability and Their Application in Stress Tests," INET Oxford Working Papers 2018-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    61. Alexandre, Michel & Silva, Thiago Christiano & Connaughton, Colm & Rodrigues, Francisco A., 2021. "The drivers of systemic risk in financial networks: a data-driven machine learning analysis," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
    62. Hazan, Aurélien, 2017. "Volume of the steady-state space of financial flows in a monetary stock-flow-consistent model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 589-602.
    63. Frank Schweitzer & Giorgio Fagiolo & Didier Sornette & Fernando Vega-Redondo & Douglas R. White, "undated". "Economic Networks: What do we know and what do we need to know?," Working Papers CCSS-09-010, ETH Zurich, Chair of Systems Design.
    64. Gräbner, Claudius & Heinrich, Torsten & Kudic, Muhamed, 2016. "Structuration processes in complex dynamic systems - an overview and reassessment," MPRA Paper 69095, University Library of Munich, Germany.
    65. Sudarshan Kumar & Tiziana Di Matteo & Anindya S. Chakrabarti, 2020. "Disentangling shock diffusion on complex networks: Identification through graph planarity," Papers 2001.01518, arXiv.org.
    66. Nishihara, Michi & Shibata, Takashi, 2021. "Optimal capital structure and simultaneous bankruptcy of firms in corporate networks," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    67. Nathalie Lazaric & Silvano Cincotti & Wolfram Elsner & Anastasia Nesvetailova & Engelbert Stockhammer, 2020. "Towards an evolutionary political economy. Editorial to the inaugural issue of the Review of Evolutionary Political Economy REPE," Post-Print halshs-03000271, HAL.
    68. Berardi, Simone & Tedeschi, Gabriele, 2015. "From banks' strategies to financial (in)stability," FinMaP-Working Papers 47, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    69. Giammetti, Raffaele, 2019. "Tariffs, Domestic Import Substitution and Trade Diversion in Input-Output Production Networks: how to deal with Brexit," MPRA Paper 92835, University Library of Munich, Germany.
    70. Srhoj, Stjepan & Kovač, Dejan & Shapiro, Jacob N. & Filer, Randall K., 2023. "The impact of delay: Evidence from formal out-of-court restructuring," Journal of Corporate Finance, Elsevier, vol. 78(C).
    71. Edgar J. Sánchez Carrera & Vanesa Avalos-Gaytán & Yajaira Cardona Valdés, 2019. "Synchronization of globalized economies," Working Papers 1909, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2019.
    72. Neveu, Andre R., 2013. "Fiscal policy and business cycle characteristics in a heterogeneous agent macro model," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 224-240.
    73. Wong, Kacheng & Zhao, Longkai, 2023. "Customer–supplier relationships and non-linear financial policy response," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 180-205.
    74. Bougheas, Spiros, 2022. "Contagion in networks: Stability and efficiency," Mathematical Social Sciences, Elsevier, vol. 115(C), pages 64-77.
    75. G. De Masi & M. Gallegati, 2012. "Bank–firms topology in Italy," Empirical Economics, Springer, vol. 43(2), pages 851-866, October.
    76. Vivien Lefebvre, 2021. "Business group affiliation in rural contexts: Do small firms grow faster through working capital management?," Growth and Change, Wiley Blackwell, vol. 52(4), pages 2453-2476, December.
    77. Van Cauwenberge, Annelies & Vancauteren, Mark & Braekers, Roel & Vandemaele, Sigrid, 2019. "International trade, foreign direct investments, and firms’ systemic risk : Evidence from the Netherlands," Economic Modelling, Elsevier, vol. 81(C), pages 361-386.
    78. Heinrich, Torsten & Dai, Shuanping, 2016. "Diversity of firm sizes, complexity, and industry structure in the Chinese economy," Structural Change and Economic Dynamics, Elsevier, vol. 37(C), pages 90-106.
    79. Sengupta, Abhijit & Greetham, Danica Vukadinovic, 2010. "Dynamics of brand competition: Effects of unobserved social networks," Journal of Economic Dynamics and Control, Elsevier, vol. 34(12), pages 2391-2406, December.
    80. Gabriele Tedeschi & Fabio Caccioli & Maria Cristina Recchioni, 2020. "Taming financial systemic risk: models, instruments and early warning indicators," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 1-7, January.
    81. Nadja König & Ingrid Größl, 2014. "Catching up with the Joneses and Borrowing Constraints: An Agent-based Analysis of Household Debt," Macroeconomics and Finance Series 201404, University of Hamburg, Department of Socioeconomics.
    82. Rémi Stellian & Gabriel I. Penagos & Jenny P. Danna-Buitrago, 2021. "Firms in financial distress: evidence from inter-firm payment networks with volatility driven by ‘animal spirits’," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 59-101, January.
    83. Andrew G. Haldane & Arthur E. Turrell, 2019. "Drawing on different disciplines: macroeconomic agent-based models," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 39-66, March.
    84. Firano, Zakaria & Filali adib, Fatine, 2019. "Intersectorial contagion risk in Morocco," MPRA Paper 95343, University Library of Munich, Germany.
    85. Richters, Oliver, 2015. "Integrating Energy Use into Macroeconomic Stock-Flow Consistent Models," EconStor Theses, ZBW - Leibniz Information Centre for Economics, number 154764, October.
    86. Chiarella Carl & Di Guilmi Corrado & Zhi Tianhao, 2020. "“Animal spirits” and bank’s lending behaviour, a disequilibrium approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-21, April.
    87. Joseph E. Stiglitz, 2015. "Towards a General Theory of Deep Downturns," NBER Working Papers 21444, National Bureau of Economic Research, Inc.
    88. Hazan, Aurélien, 2019. "A maximum entropy network reconstruction of macroeconomic models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 1-17.
    89. Di Guilmi, C. & Gallegati, M. & Landini, S. & Stiglitz, J.E., 2020. "An analytical solution for network models with heterogeneous and interacting agents," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 189-220.
    90. Carl Chiarella & Corrado Di Guilmi & Tianhao Zhi, 2015. "Modelling the "Animal Spirits" of Bank's Lending Behaviour," Working Paper Series 183, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    91. Henriet, Fanny & Hallegatte, Stephane, 2008. "Assessing the Consequences of Natural Disasters on Production Networks: A Disaggregated Approach," Coalition Theory Network Working Papers 46657, Fondazione Eni Enrico Mattei (FEEM).
    92. Hallegatte, Stephane, 2012. "Modeling the roles of heterogeneity, substitution, and inventories in the assessment of natural disaster economic costs," Policy Research Working Paper Series 6047, The World Bank.
    93. Hiroyasu Inoue & Yasuyuki Todo, 2019. "Propagation of negative shocks across nation-wide firm networks," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-17, March.
    94. J. Barkley Rosser Jr & Richard P.F. Holt & David Colander, 2010. "European Economics at a Crossroads," Books, Edward Elgar Publishing, number 13585.
    95. FUJIWARA Yoshi & TERAI Masaaki & FUJITA Yuji & SOUMA Wataru, 2016. "DebtRank Analysis of Financial Distress Propagation on a Production Network in Japan," Discussion papers 16046, Research Institute of Economy, Trade and Industry (RIETI).
    96. Aur'elien Hazan, 2016. "Volume of the steady-state space of financial flows in a monetary stock-flow-consistent model," Papers 1601.00822, arXiv.org, revised Jan 2017.
    97. Hayato Goto & Hideki Takayasu & Misako Takayasu, 2017. "Estimating risk propagation between interacting firms on inter-firm complex network," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-12, October.
    98. Heinrich, Torsten, 2016. "The Narrow and the Broad Approach to Evolutionary Modeling in Economics," MPRA Paper 75797, University Library of Munich, Germany.
    99. Anna Maria Ferragina & Fernanda Mazzotta, 2014. "Agglomeration economies and global activities: impact on firm survival," ERSA conference papers ersa14p348, European Regional Science Association.
    100. Francisco Louçã & Alexandre Abreu & Gonçalo Pessa Costa, 2021. "Disarray at the headquarters: Economists and Central bankers tested by the subprime and the COVID recessions [Forward guidance without common knowledge]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(2), pages 273-296.
    101. Takayuki Mizuno & Wataru Souma & Tsutomu Watanabe, 2014. "The Structure and Evolution of Buyer-Supplier Networks," CARF F-Series CARF-F-339, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    102. Domenico Delli Gatti & Elisa Grugni, 2021. "Breaking Bad: Supply Chain Disruptions in a Streamlined Agent Based Model," CESifo Working Paper Series 9029, CESifo.
    103. Stiglitz Joseph E., 2010. "Contagion, Liberalization, and the Optimal Structure of Globalization," Journal of Globalization and Development, De Gruyter, vol. 1(2), pages 1-47, December.
    104. Hallegatte, Stephane, 2014. "Economic resilience: definition and measurement," Policy Research Working Paper Series 6852, The World Bank.
    105. Yiping Fang & Nicola Pedroni & Enrico Zio, 2015. "Optimization of Cascade‐Resilient Electrical Infrastructures and its Validation by Power Flow Modeling," Risk Analysis, John Wiley & Sons, vol. 35(4), pages 594-607, April.
    106. Joseph E Stiglitz & Mauro Gallegati, 2011. "Heterogeneous Interacting Agent Models for Understanding Monetary Economies," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 6-12.
    107. Barbara Dluhosch, 2011. "European Economics at a Crossroads, by J. Barkley Rosser, Jr., Richard P. F. Holt, and David Colander," Journal of Regional Science, Wiley Blackwell, vol. 51(3), pages 629-631, August.
    108. Jacobson, Tor & von Schedvin, Erik, 2012. "Trade Credit and the Propagation of Corporate Failure: An Empirical Analysis," Working Paper Series 263, Sveriges Riksbank (Central Bank of Sweden).
    109. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    110. Rémi Stellian & Jenny P. Danna‐Buitrago, 2020. "Financial distress, free cash flow, and interfirm payment network: Evidence from an agent‐based model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 598-616, October.
    111. Tianhao Zhi, 2016. "Animal Spirits and Financial Instability - A Disequilibrium Macroeconomic Perspective," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2016.
    112. Hiroyasu Inoue, 2021. "Propagation of International Supply-Chain Disruptions between Firms in a Country," JRFM, MDPI, vol. 14(10), pages 1-14, October.
    113. Bernardo A. Furtado & Miguel A. Fuentes & Claudio J. Tessone, 2019. "Policy Modeling and Applications: State-of-the-Art and Perspectives," Complexity, Hindawi, vol. 2019, pages 1-11, February.
    114. Aymeric Vi'e & Alfredo J. Morales, 2019. "How connected is too connected? Impact of network topology on systemic risk and collapse of complex economic systems," Papers 1912.09814, arXiv.org.
    115. Beaver, William & Cascino, Stefano & Correia, Maria & McNichols, Maureen, 2018. "Bankruptcy in groups," LSE Research Online Documents on Economics 118925, London School of Economics and Political Science, LSE Library.

  105. Scalas, Enrico & Gallegati, Mauro & Guerci, Eric & Mas, David & Tedeschi, Alessandra, 2006. "Growth and allocation of resources in economics: The agent-based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 86-90.
    See citations under working paper version above.
  106. Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Russo, Alberto & Stiglitz, Joseph E., 2006. "Business fluctuations in a credit-network economy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 68-74.
    See citations under working paper version above.
  107. Bischi, Gian-Italo & Gallegati, Mauro & Gardini, Laura & Leombruni, Roberto & Palestrini, Antonio, 2006. "Herd Behavior And Nonfundamental Asset Price Fluctuations In Financial Markets," Macroeconomic Dynamics, Cambridge University Press, vol. 10(4), pages 502-528, September.

    Cited by:

    1. Blaurock, Ivonne & Schmitt, Noemi & Westerhoff, Frank, 2018. "Market entry waves and volatility outbursts in stock markets," Journal of Economic Behavior & Organization, Elsevier, vol. 153(C), pages 19-37.
    2. Mine Caglar, 2011. "Stock Price Processes with Infinite Source Poisson Agents," Papers 1106.6300, arXiv.org.
    3. Ilaria Foroni & Anna Agliari, 2008. "Complex Price Dynamics in a Financial Market with Imitation," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 21-36, September.
    4. Giovanni Campisi & Silvia Muzzioli & Fabio Tramontana, 2021. "Uncertainty about fundamental, pessimistic and overconfident traders: a piecewise-linear maps approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 707-726, December.
    5. Roy Cerqueti & Giulia Rotundo, 2015. "A review of aggregation techniques for agent-based models: understanding the presence of long-term memory," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1693-1717, July.
    6. Mignot, Sarah & Tramontana, Fabio & Westerhoff, Frank H., 2021. "Speculative asset price dynamics and wealth taxes," BERG Working Paper Series 169, Bamberg University, Bamberg Economic Research Group.
    7. Roberto Dieci & Xue-Zhong He, 2021. "Cross-section instability in financial markets: impatience, extrapolation, and switching," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 727-754, December.
    8. Emilio Barucci & Marco Tolotti, 2009. "The dynamics of social interaction with agents’ heterogeneity," Working Papers 189, Department of Applied Mathematics, Università Ca' Foscari Venezia.
    9. Damian Smug & Peter Ashwin & Didier Sornette, 2018. "Predicting financial market crashes using ghost singularities," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-20, March.
    10. Harras, Georges & Sornette, Didier, 2011. "How to grow a bubble: A model of myopic adapting agents," Journal of Economic Behavior & Organization, Elsevier, vol. 80(1), pages 137-152.
    11. Bowden, Mark P., 2012. "Information contagion within small worlds and changes in kurtosis and volatility in financial prices," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 553-566.
    12. Giovanni Campisi & Silvia Muzzioli & Fabio Tramontana, 2021. "Uncertainty about fundamental and pessimistic traders: a piecewise-linear maps approach," Department of Economics 0186, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    13. Gallegati, Mauro & Palestrini, Antonio & Rosser, J. Barkley, 2011. "The Period Of Financial Distress In Speculative Markets: Interacting Heterogeneous Agents And Financial Constraints," Macroeconomic Dynamics, Cambridge University Press, vol. 15(1), pages 60-79, February.
    14. Fabio Tramontana, 2013. "The role of cognitively biased imitators in a small scale agent-based financial market," DEM Working Papers Series 029, University of Pavia, Department of Economics and Management.
    15. Ehsan Ahmed & J. Barkley Rosser Jr. & Jamshed Y. Uppal, 2010. "Emerging Markets and Stock Market Bubbles: Nonlinear Speculation?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 46(4), pages 23-40, January.

  108. Gallegati, Mauro & Keen, Steve & Lux, Thomas & Ormerod, Paul, 2006. "Worrying trends in econophysics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 1-6.

    Cited by:

    1. Jennifer Jhun & Patricia Palacios & James Owen Weatherall, 2017. "Market Crashes as Critical Phenomena? Explanation, Idealization, and Universality in Econophysics," Papers 1704.02392, arXiv.org.
    2. Damien Challet, 2016. "Regrets, learning and wisdom," Post-Print hal-01312973, HAL.
    3. Schinckus, Christophe, 2010. "Is econophysics a new discipline? The neopositivist argument," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(18), pages 3814-3821.
    4. Angle, John & Nielsen, Francois & Scalas, Enrico, 2009. "The Kuznets Curve and the Inequality Process," MPRA Paper 16058, University Library of Munich, Germany, revised 29 Jun 2009.
    5. Slanina, Frantisek, 2013. "Essentials of Econophysics Modelling," OUP Catalogue, Oxford University Press, number 9780199299683, Decembrie.
    6. Siew Ann Cheong, 2013. "Econophysics: An Experimental Course for Advanced Undergraduates in the Nanyang Technological University," IIM Kozhikode Society & Management Review, , vol. 2(2), pages 79-99, July.
    7. Mimkes, Jürgen, 2010. "Stokes integral of economic growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(8), pages 1665-1676.
    8. Drakopoulos, Stavros A. & Katselidis, Ioannis, 2013. "From Edgeworth to Econophysics: A Methodological Perspective," MPRA Paper 46975, University Library of Munich, Germany.
    9. Rosser Jr., J. Barkley, 2010. "Is a transdisciplinary perspective on economic complexity possible?," Journal of Economic Behavior & Organization, Elsevier, vol. 75(1), pages 3-11, July.
    10. Deborah Noguera & Gabriel Montes-Rojas, 2023. "Minskyan model with credit rationing in a network economy," SN Business & Economics, Springer, vol. 3(3), pages 1-26, March.
    11. Jovanovic, Franck & Schinckus, Christophe, 2016. "Breaking down the barriers between econophysics and financial economics," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 256-266.
    12. Gajic, Nenad & Budinski-Petkovic, Ljuba, 2013. "Ups and downs of economics and econophysics — Facebook forecast," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(1), pages 208-214.
    13. Sylvain Barde, 2012. "Back to the future: economic rationality and maximum entropy prediction," Studies in Economics 1202, School of Economics, University of Kent.
    14. Angle, John, 2013. "How To Win Acceptance Of The Inequality Process As Economics?," MPRA Paper 52887, University Library of Munich, Germany.
    15. Bucsa, G. & Jovanovic, F. & Schinckus, C., 2011. "A unified model for price return distributions used in econophysics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(20), pages 3435-3443.
    16. Nikolaos Th. Chatzarakis, 2021. "Revisiting the role and consequences of Econophysics from a Marxian perspective," Bulletin of Political Economy, Bulletin of Political Economy, vol. 15(1), pages 45-68, June.
    17. Geoff Willis, 2011. "Why Money Trickles Up - Wealth & Income Distributions," Papers 1105.2122, arXiv.org, revised May 2011.
    18. Z. Eisler & J. Kertész, 2006. "Size matters: some stylized facts of the stock market revisited," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 51(1), pages 145-154, May.
    19. Yuri Biondi & Simone Righi, 2019. "Inequality, mobility and the financial accumulation process: a computational economic analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(1), pages 93-119, March.
    20. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    21. D. S. Quevedo & C. J. Quimbay, 2019. "Piketty's second fundamental law of capitalism as an emergent property in a kinetic wealth-exchange model of economic growth," Papers 1903.00952, arXiv.org, revised Mar 2019.
    22. Eduardo Barberis & Daniela Freddi & Raffaele Giammetti & Paolo Polidori & D?sir?e Teobaldelli & Elena Vigan?, 2020. "Trade Relationships in the European Pork Value Chain: a Network Analysis," Economia agro-alimentare, FrancoAngeli Editore, vol. 22(1), pages 1-23.
    23. Denis M. Filatov & Maksim A. Vanyarkho, 2014. "An Unconventional Attempt to Tame Mandelbrot's Grey Swans," Papers 1406.5718, arXiv.org.
    24. Kakarot-Handtke, Egmont, 2013. "Toolism! A Critique of Econophysics," MPRA Paper 46630, University Library of Munich, Germany.
    25. Brodbeck, Karl-Heinz, 2019. "Die Illusion der Identität und die Krise der Wissenschaften," Working Paper Series Ök-47, Cusanus Hochschule für Gesellschaftsgestaltung, Institut für Ökonomie.
    26. Frank Schweitzer & Giorgio Fagiolo & Didier Sornette & Fernando Vega-Redondo & Douglas R. White, "undated". "Economic Networks: What do we know and what do we need to know?," Working Papers CCSS-09-010, ETH Zurich, Chair of Systems Design.
    27. McCauley, Joseph L., 2006. "Response to worrying trends in econophysics," MPRA Paper 2129, University Library of Munich, Germany.
    28. E. Scalas & U. Garibaldi & S. Donadio, 2007. "Statistical equilibrium in simple exchange games I," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 60(2), pages 271-272, November.
    29. Fix, Blair, 2017. "Evidence for a Power Theory of Personal Income Distribution," SocArXiv qgwus, Center for Open Science.
    30. Wang, Yougui & Stanley, H.E., 2009. "Statistical approach to partial equilibrium analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(7), pages 1173-1180.
    31. Soriano-Hernández, P. & del Castillo-Mussot, M. & Córdoba-Rodríguez, O. & Mansilla-Corona, R., 2017. "Non-stationary individual and household income of poor, rich and middle classes in Mexico," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 403-413.
    32. Barrio, Rafael A. & Govezensky, Tzipe & Ruiz-Gutiérrez, Élfego & Kaski, Kimmo K., 2017. "Modelling trading networks and the role of trust," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 68-79.
    33. Milen Velchev Velev, 2021. "Entropy and free-energy based interpretation of the laws of supply and demand," SN Business & Economics, Springer, vol. 1(1), pages 1-16, January.
    34. J. R. Iglesias & R. M. C. de Almeida, 2011. "Entropy and equilibrium state of free market models," Papers 1108.5725, arXiv.org.
    35. Lux, Thomas, 2008. "Stochastic behavioral asset pricing models and the stylized facts," Kiel Working Papers 1426, Kiel Institute for the World Economy (IfW Kiel).
    36. Lux, Thomas, 2008. "Stochastic behavioral asset pricing models and the stylized facts," Economics Working Papers 2008-08, Christian-Albrechts-University of Kiel, Department of Economics.
    37. Christophe Schinckus, 2011. "What can econophysics contribute to financial economics?," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 58(2), pages 147-163, June.
    38. Antonio Doria, Francisco, 2011. "J.B. Rosser Jr. , Handbook of Research on Complexity, Edward Elgar, Cheltenham, UK--Northampton, MA, USA (2009) 436 + viii pp., index, ISBN 978 1 84542 089 5 (cased)," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 196-204, April.
    39. Hernan Mondani, 2019. "Sector, industry and inter-organizational movement statistics in the Stockholm Region: informing organizational growth models," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 735-755, March.
    40. Guseo, Renato & Guidolin, Mariangela, 2010. "Cellular Automata with network incubation in information technology diffusion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(12), pages 2422-2433.
    41. Richters, Oliver, 2015. "Integrating Energy Use into Macroeconomic Stock-Flow Consistent Models," EconStor Theses, ZBW - Leibniz Information Centre for Economics, number 154764, October.
    42. Chakrabarti, Anindya S. & Chakrabarti, Bikas K., 2010. "Statistical theories of income and wealth distribution," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 4, pages 1-31.
    43. Săvoiu, Gheorghe, 2008. "The scientific way of thinking in statistics, statistical physics and quantum mechanics," MPRA Paper 14093, University Library of Munich, Germany.
    44. Jovanovic, Franck & Schinckus, Christophe, 2017. "Econophysics and Financial Economics: An Emerging Dialogue," OUP Catalogue, Oxford University Press, number 9780190205034, Decembrie.
    45. F. Chami Figueira & N. J. Moura Jr & Marcelo B. Ribeiro, 2010. "The Gompertz-Pareto Income Distribution," Papers 1010.1994, arXiv.org.
    46. Venkatasubramanian, Venkat & Luo, Yu & Sethuraman, Jay, 2015. "How much inequality in income is fair? A microeconomic game theoretic perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 435(C), pages 120-138.
    47. J. Barkley Rosser Jr & Richard P.F. Holt & David Colander, 2010. "European Economics at a Crossroads," Books, Edward Elgar Publishing, number 13585.
    48. Fix, Blair, 2017. "Evidence for a Power Theory of Personal Income Distribution," Working Papers on Capital as Power 2017/03, Capital As Power - Toward a New Cosmology of Capitalism.
    49. Manhire, J. T, 2017. "The Action Principle in Market Mechanics," LawArXiv 29c7s, Center for Open Science.
    50. Schinckus, C., 2013. "Between complexity of modelling and modelling of complexity: An essay on econophysics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(17), pages 3654-3665.
    51. G. Dimarco & L. Pareschi & G. Toscani & M. Zanella, 2020. "Wealth distribution under the spread of infectious diseases," Papers 2004.13620, arXiv.org.
    52. Cem Çağrı Dönmez & Abdulkadir Atalan, 2019. "Developing Statistical Optimization Models for Urban Competitiveness Index: Under the Boundaries of Econophysics Approach," Complexity, Hindawi, vol. 2019, pages 1-11, November.
    53. Ellis Scharfenaker, 2022. "Statistical Equilibrium Methods In Analytical Political Economy," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 276-309, April.
    54. Barbara Dluhosch, 2011. "European Economics at a Crossroads, by J. Barkley Rosser, Jr., Richard P. F. Holt, and David Colander," Journal of Regional Science, Wiley Blackwell, vol. 51(3), pages 629-631, August.
    55. Shu-Heng Chen & Sai-Ping Li, 2011. "Econophysics: Bridges over a Turbulent Current," Papers 1107.5373, arXiv.org.
    56. Venkat Venkatasubramanian, 2010. "What is Fair Pay for Executives? An Information Theoretic Analysis of Wage Distributions," Papers 1002.2269, arXiv.org.
    57. Schinckus, Christophe, 2009. "Economic uncertainty and econophysics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(20), pages 4415-4423.
    58. Deborah Noguera & Gabriel Montes-Rojas, 2022. "Credit-constrained fluctuations and uncertainty in a network economy," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(80), pages 5-52, November.
    59. Tomson Ogwang, 2011. "Power laws in top wealth distributions: evidence from Canada," Empirical Economics, Springer, vol. 41(2), pages 473-486, October.
    60. Victor M. Yakovenko & J. Barkley Rosser, 2009. "Colloquium: Statistical mechanics of money, wealth, and income," Papers 0905.1518, arXiv.org, revised Dec 2009.

  109. Agliari, Anna & Gatti, Domenico Delli & Gallegati, Mauro & Lenci, Stefano, 2006. "The complex dynamics of financially constrained heterogeneous firms," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 784-803, December.

    Cited by:

    1. Wei Zhao & Yi Lu & Genfu Feng, 2019. "How Many Agents are Rational in China’s Economy? Evidence from a Heterogeneous Agent-Based New Keynesian Model," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 575-611, August.
    2. Xu, Xiaoyan & Cheng, Xiaoying & Sun, Yanhong, 2015. "Coordination contracts for outsourcing supply chain with financial constraint," International Journal of Production Economics, Elsevier, vol. 162(C), pages 134-142.
    3. Susan Schroeder, 2009. "Defining and detecting financial fragility: New Zealand's experience," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 36(3), pages 287-307, February.

  110. Clementi, F. & Di Matteo, T. & Gallegati, M., 2006. "The power-law tail exponent of income distributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 49-53.
    See citations under working paper version above.
  111. M. Gallegati & A. Palestrini & D. Gatti & E. Scalas, 2006. "Aggregation of Heterogeneous Interacting Agents: The Variant Representative Agent Framework," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 1(1), pages 5-19, May.

    Cited by:

    1. Lengnick, Matthias, 2011. "Agent-based macroeconomics - a baseline model," Economics Working Papers 2011-04, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Corrado Di Guilmi & Mauro Gallegati & Simone Landini, 2007. "Economic dynamics with financial fragility and mean-field interaction: a model," Papers 0709.2083, arXiv.org.
    3. Tiziana Assenza & Domenico Delli Gatti & Mauro Gallegati, 2010. "Financial Instability and Agents’ Heterogenity: A Post Minskyan Research Agenda," Chapters, in: Dimitri B. Papadimitriou & L. Randall Wray (ed.), The Elgar Companion to Hyman Minsky, chapter 10, Edward Elgar Publishing.
    4. Jan Toporowski, 2013. "The Elgar Companion to Hyman Minsky," Review of Political Economy, Taylor & Francis Journals, vol. 25(1), pages 175-177, January.
    5. Chen, Shu-Heng, 2012. "Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 1-25.
    6. Chen, Shu-Heng & Chang, Chia-Ling & Tseng, Yi-Heng, 2014. "Social networks, social interaction and macroeconomic dynamics: How much could Ernst Ising help DSGE?," Research in International Business and Finance, Elsevier, vol. 30(C), pages 312-335.
    7. Gaffeo, E. & Catalano, M. & Clementi, F. & Delli Gatti, D. & Gallegati, M. & Russo, A., 2007. "Reflections on modern macroeconomics: Can we travel along a safer road?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 89-97.
    8. Leonardo Bargigli & Luca Riccetti & Alberto Russo & Mauro Gallegati, 2016. "Network Calibration and Metamodeling of a Financial Accelerator Agent Based Model," Working Papers - Economics wp2016_01.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    9. Domenico Colucci & Matteo Vigna & Vincenzo Valori, 2022. "Large and uncertain heterogeneity of expectations: stability of equilibrium from a policy maker standpoint," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(1), pages 319-348, January.
    10. Simone Landini & Mariacristina Uberti, 2008. "A Statistical Mechanic View of Macro-dynamics in Economics," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 121-146, September.
    11. Simone Landini & Mauro Gallegati, 2014. "Heterogeneity, interaction and emergence: effects of composition," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 4(3/4), pages 339-361.
    12. Assenza, T. & Delli Gatti, D., 2012. "E Pluribus Unum: Macroeconomic Modelling for Multi-agent Economies," CeNDEF Working Papers 12-08, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    13. Tiziana Assenza & Domenico Delli Gatti, 2019. "The financial transmission of shocks in a simple hybrid macroeconomic agent based model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 265-297, March.
    14. Assenza, T. & Delli Gatti, D. & Gallegati, M., 2007. "Heterogeneity and Aggregation in a Financial Accelerator Model," CeNDEF Working Papers 07-13, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    15. Ibrahim Ari & Muammer Koc, 2019. "Sustainable Financing for Sustainable Development: Agent-Based Modeling of Alternative Financing Models for Clean Energy Investments," Sustainability, MDPI, vol. 11(7), pages 1-34, April.
    16. Domenico Delli Gatti & Corrado Di Guilmi & Mauro Gallegati & Simone Landini, 2012. "Reconstructing Aggregate Dynamics in Heterogeneous Agents Models. A Markovian Approach," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 117-146.

  112. Di Guilmi, C. & Gaffeo, E. & Gallegati, M. & Palestrini, A., 2005. "International Evidence on Business Cycle Magnitude Dependence: An Analyisis of 16 Industrialized Countries, 1881-2000," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(1), pages 5-16.

    Cited by:

    1. Di Guilmi, Corrado & Carvalho, Laura, 2017. "The dynamics of leverage in a demand-driven model with heterogeneous firms," Journal of Economic Behavior & Organization, Elsevier, vol. 140(C), pages 70-90.
    2. Corrado Di Guilmi & Laura Carvalho, 2015. "The dynamics of leverage in a Minskyan model with heterogenous firms," Working Paper Series 28, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Carl Chiarella & Corrado Di Guilmi, 2013. "Monetary Policy and Debt Deflation: Some Computational Experiments," CAMA Working Papers 2013-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Carl Chiarella & Corrado Di Guilmi, 2010. "The Financial Instability Hypothesis: A Stochastic Microfoundation Framework," Research Paper Series 273, Quantitative Finance Research Centre, University of Technology, Sydney.
    5. Corrado DI GUILMI, 2008. "Financial Determinants of Firms Profitability: A Hazard Function Investigation," Working Papers 315, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

  113. Edoardo Gaffeo & Marco Gallegati & Mauro Gallegati, 2005. "Requiem for the unit root in per capita real GDP? Additional evidence from historical data," Empirical Economics, Springer, vol. 30(1), pages 37-63, January.

    Cited by:

    1. Liddle, Brantley & Messinis, George, 2014. "Revisiting carbon Kuznets curves with endogenous breaks modeling: Evidence of decoupling and saturation (but few inverted-Us) for individual OECD countries," MPRA Paper 59566, University Library of Munich, Germany.
    2. David Grreasley, 2010. "Cliometrics and Time Series Econometrics: Some Theory and Applications," Working Papers in Economics 10/56, University of Canterbury, Department of Economics and Finance.
    3. Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2008. "Are output growth-rate distributions fat-tailed? some evidence from OECD countries," Post-Print hal-03417062, HAL.
    4. Vasudeva N. R. Murthy & Emmanuel Anoruo, 2009. "Are Per Capita Real GDP Series in African Countries Non-stationary or Non-linear? What does Empirical Evidence Reveal?," Economics Bulletin, AccessEcon, vol. 29(4), pages 2492-2504.
    5. Jonathan Hill & Liang Peng, 2014. "Unified Interval Estimation For Random Coefficient Autoregressive Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(3), pages 282-297, May.
    6. Russo, Emanuele & Foster-McGregor, Neil & Verspagen, Bart, 2019. "Characterizing growth instability: new evidence on unit roots and structural breaks in long run time series," MERIT Working Papers 2019-026, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    7. Dergiades, Theologos & Martinopoulos, Georgios & Tsoulfidis, Lefteris, 2013. "Energy consumption and economic growth: Parametric and non-parametric causality testing for the case of Greece," Energy Economics, Elsevier, vol. 36(C), pages 686-697.
    8. Sakiru Adebola Solarin & Gema Lopez & Luis A. Gil‐Alana, 2022. "Persistence analysis of research intensity in OECD countries since 1870," Australian Economic Papers, Wiley Blackwell, vol. 61(4), pages 738-750, December.
    9. Kauko, Karlo, 2010. "The feasibility of through-the-cycle ratings," Bank of Finland Research Discussion Papers 14/2010, Bank of Finland.
    10. Liddle, Brantley & Messinis, George, 2014. "Revisiting sulfur Kuznets curves with endogenous breaks modeling: Substantial evidence of inverted-Us/Vs for individual OECD countries," MPRA Paper 59565, University Library of Munich, Germany.
    11. Emanuele Russo & Neil Foster-McGregor, 2022. "Characterizing growth instability: new evidence on unit roots and structural breaks in countries’ long run trajectories," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 713-756, April.
    12. Paresh Narayan, 2008. "Is Asian per capita GDP panel stationary?," Empirical Economics, Springer, vol. 34(3), pages 439-449, June.

  114. T. Di Matteo & T. Aste & M. Gallegati, 2005. "Innovation flow through social networks: productivity distribution in France and Italy," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 47(3), pages 459-466, October.

    Cited by:

    1. C. Guilmi & F. Clementi & T. Matteo & M. Gallegati, 2008. "Social networks and labour productivity in Europe: an empirical investigation," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 3(1), pages 43-57, June.
    2. Annika Birch & Tomaso Aste, 2014. "Systemic Losses Due to Counter Party Risk in a Stylized Banking System," Papers 1402.3688, arXiv.org.
    3. Keiichi Kishi, 2014. "A patentability requirement and industries targeted by R&D," Discussion Papers in Economics and Business 14-27, Osaka University, Graduate School of Economics.
    4. Bertotti, M.L. & Brunner, J. & Modanese, G., 2016. "The Bass diffusion model on networks with correlations and inhomogeneous advertising," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 55-63.
    5. Michael Koenig & Jan Lorenz & Fabrizio Zilibotti, 2012. "Innovation vs. Imitation and the Evolution of Productivity Distributions," Discussion Papers 11-008, Stanford Institute for Economic Policy Research.
    6. Chakrabarti, Anindya S., 2016. "Stochastic Lotka–Volterra equations: A model of lagged diffusion of technology in an interconnected world," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 214-223.
    7. Geraldine Henningsen & Arne Henningsen & Christian Henning, 2015. "Transaction costs and social networks in productivity measurement," Empirical Economics, Springer, vol. 48(1), pages 493-515, February.
    8. Chakrabarti, Anindya S., 2015. "Stochastic Lotka-Volterra equations: A model of lagged diffusion of technology in an interconnected world," IIMA Working Papers WP2015-08-05, Indian Institute of Management Ahmedabad, Research and Publication Department.

  115. Gatti, Domenico Delli & Guilmi, Corrado Di & Gaffeo, Edoardo & Giulioni, Gianfranco & Gallegati, Mauro & Palestrini, Antonio, 2005. "A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 489-512, April.

    Cited by:

    1. de Grauwe, Paul & Ji, Yuemei, 2018. "Behavioural economics is useful also in macroeconomics : the role of animal spirits," LSE Research Online Documents on Economics 87286, London School of Economics and Political Science, LSE Library.
    2. Fanny Henriet & Stéphane Hallegatte & Lionel Tabourier, 2012. "Firm-network characteristics and economic robustness to natural disasters," Post-Print hal-00716554, HAL.
    3. Paul De Grauwe, 2012. "Booms and busts: New Keynesian and behavioural explanations," Chapters, in: Robert M. Solow & Jean-Philippe Touffut (ed.), What’s Right with Macroeconomics?, chapter 6, pages 149-180, Edward Elgar Publishing.
    4. G. Fagiolo & C. Birchenhall & P. Windrum, 2007. "Empirical Validation in Agent-based Models: Introduction to the Special Issue," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 189-194, October.
    5. Neugart, Michael & Richiardi, Matteo, 2018. "Agent-based models of the labor market," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 110862, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2017. "Inequality, Redistributive Policies and Multiplier Dynamics in an Agent-Based Model with Credit Rationing," LEM Papers Series 2017/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," Working Papers hal-03459508, HAL.
    8. Mizgier, Kamil J. & Wagner, Stephan M. & Holyst, Janusz A., 2012. "Modeling defaults of companies in multi-stage supply chain networks," International Journal of Production Economics, Elsevier, vol. 135(1), pages 14-23.
    9. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    10. Thomas Brenner & Matthias Duschl, 2014. "Modelling Firm and Market Dynamics - A Flexible Model Reproducing Existing Stylized Facts," Working Papers on Innovation and Space 2014-07, Philipps University Marburg, Department of Geography.
    11. Gallegati, Mauro & Kirman, Alan, 2019. "20 years of WEHIA: A journey in search of a safer road," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 5-14.
    12. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    13. Aßmuth, Pascal, 2015. "Stock price related financial fragility and growth patterns," Center for Mathematical Economics Working Papers 539, Center for Mathematical Economics, Bielefeld University.
    14. Jorg Dopke & Sebastian Weber, 2010. "The within-distribution business cycle dynamics of German firms," Applied Economics, Taylor & Francis Journals, vol. 42(29), pages 3789-3802.
    15. INOUE Hiroyasu & TODO Yasuyuki, 2018. "Firm-level Simulation of Supply Chain Disruption Triggered by Actual and Predicted Earthquakes," Discussion papers 18013, Research Institute of Economy, Trade and Industry (RIETI).
    16. Chu, Zhuang & Yang, Biao & Ha, Chang Yong & Ahn, Kwangwon, 2018. "Modeling GDP fluctuations with agent-based model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 572-581.
    17. Ítalo Pedrosa & Dany Lang, 2018. "Heterogeneity, distribution and financial fragility of non-financial firms: an agent-based stock-flow consistent (AB-SFC) model," CEPN Working Papers hal-01937186, HAL.
    18. Dosi, Giovanni & Fagiolo, Giorgio & Roventini, Andrea, 2010. "Schumpeter meeting Keynes: A policy-friendly model of endogenous growth and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1748-1767, September.
    19. Alfarano, Simone & Milaković, Mishael, 2008. "Does Classical Competition Explain the Statistical Features of Firm Growth?," Economics Working Papers 2008-03, Christian-Albrechts-University of Kiel, Department of Economics.
    20. Jean-Luc Gaffard & Mauro Napoletano, 2018. "Hétérogénéité des agents, interconnexions financières et politique monétaire : une approche non-conventionnelle," Sciences Po publications info:hdl:2441/1gb0ntthu59, Sciences Po.
    21. Corrado Di Guilmi & Mauro Gallegati & Simone Landini, 2007. "Economic dynamics with financial fragility and mean-field interaction: a model," Papers 0709.2083, arXiv.org.
    22. Otto, Christian & Willner, Sven Norman & Wenz, Leonie & Frieler, Katja & Levermann, Anders, 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," OSF Preprints 7yyhd, Center for Open Science.
    23. Domenico Delli Gatti & Edoardo Gaffeo & Mauro Gallegati, 2008. "A look at the relationship between industrial dynamics and aggregate fluctuations," Department of Economics Working Papers 0803, Department of Economics, University of Trento, Italia.
    24. Hosseiny, Ali, 2017. "A geometrical imaging of the real gap between economies of China and the United States," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 151-161.
    25. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    26. Mauro Napoletano & Jean-Luc Gaffard & Andrea Roventini, 2014. "Outside the corridor: fiscal multipliers and business cycles into an agent-based model with liquidity constraints," Working Papers hal-03460253, HAL.
    27. Napoletano, Mauro & Roventini, Andrea & Gaffard, Jean Luc, 2017. "Time-varying fiscal multipliers in an agent-based model with credit rationing," Economics Discussion Papers 2017-112, Kiel Institute for the World Economy (IfW Kiel).
    28. Wei Zhao & Yi Lu & Genfu Feng, 2019. "How Many Agents are Rational in China’s Economy? Evidence from a Heterogeneous Agent-Based New Keynesian Model," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 575-611, August.
    29. Gérard Ballot & Antoine Mandel & Annick Vignes, 2015. "Agent-based modeling and economic theory: where do we stand?," PSE-Ecole d'économie de Paris (Postprint) halshs-01296643, HAL.
    30. Lojak, Benjamin & Makarewicz, Tomasz & Proaño, Christian R., 2023. "Low interest rates, bank’s search-for-yield behavior and financial portfolio management," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    31. Giorgio Fagiolo & Paul Windrum & Alessio Moneta, 2006. "Empirical Validation of Agent Based Models: A Critical Survey," LEM Papers Series 2006/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    32. Gabriele Tedeschi & Amin Mazloumian & Mauro Gallegati & Dirk Helbing, 2012. "Bankruptcy Cascades in Interbank Markets," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-10, December.
    33. Di Guilmi, Corrado & Carvalho, Laura, 2017. "The dynamics of leverage in a demand-driven model with heterogeneous firms," Journal of Economic Behavior & Organization, Elsevier, vol. 140(C), pages 70-90.
    34. Wright, Ian, 2005. "The social architecture of capitalism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 346(3), pages 589-620.
    35. Ricetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial leverage in an agent based macroeconomic model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-44.
    36. Corrado Di Guilmi, 2017. "The Agent†Based Approach To Post Keynesian Macro†Modeling," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1183-1203, December.
    37. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    38. Elizabeth Jane Casabianca & Alessia Lo Turco & Daniela Maggioni, 2021. "Migration And The Structure Of Manufacturing Production. A View From Italian Provinces," Working Papers 448, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    39. Dawid, Herbert & Gemkow, Simon & Harting, Philipp & Kabus, Kordian & Neugart, Michael & Wersching, Klaus, 2008. "Skills, innovation, and growth: an agent-based policy analysis," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57260, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    40. Giovanni Dosi, 2023. "Why is economics the only discipline with so many curves going up and down? There is an alternative," LEM Papers Series 2023/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    41. Antoine Mandel & Vipin Veetil, 2020. "The Economic Cost of COVID Lockdowns: An Out-of-Equilibrium Analysis," Post-Print halshs-03043350, HAL.
    42. Ali Hosseiny & Mohammad Bahrami & Antonio Palestrini & Mauro Gallegati, 2016. "Metastable Features of Economic Networks and Responses to Exogenous Shocks," Papers 1608.00275, arXiv.org.
    43. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2012. "An Agent Based Decentralized Matching Macroeconomic Model," MPRA Paper 42211, University Library of Munich, Germany.
    44. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," Post-Print hal-03399574, HAL.
    45. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    46. Catalano, Michele & Di Guilmi, Corrado, 2019. "Uncertainty, rationality and complexity in a multi-sectoral dynamic model: The dynamic stochastic generalized aggregation approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 117-144.
    47. Marco Raberto & Andrea Teglio & Silvano Cincotti, 2012. "Macroprudential policies in an agent-based artificial economy," Working Papers 2012/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    48. Matthew Oldham, 2019. "Understanding How Short-Termism and a Dynamic Investor Network Affects Investor Returns: An Agent-Based Perspective," Complexity, Hindawi, vol. 2019, pages 1-21, July.
    49. Otto, C. & Willner, S.N. & Wenz, L. & Frieler, K. & Levermann, A., 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 232-269.
    50. Nikolaidi, Maria & Stockhammer, Engelbert, 2017. "Minsky models: a structured survey," Greenwich Papers in Political Economy 17739, University of Greenwich, Greenwich Political Economy Research Centre.
    51. Corrado Di Guilmi & Laura Carvalho, 2015. "The dynamics of leverage in a Minskyan model with heterogenous firms," Working Paper Series 28, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    52. Carl Chiarella & Corrado Di Guilmi, 2010. "The Financial Instability Hypothesis: A Stochastic Microfoundation Framework," Research Paper Series 273, Quantitative Finance Research Centre, University of Technology, Sydney.
    53. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2019. "Winter is possibly not coming: mitigating financial instability in an agent-based model with interbank market," SciencePo Working papers Main hal-03403274, HAL.
    54. Vitali, Stefania & Battiston, Stefano & Gallegati, Mauro, 2016. "Financial fragility and distress propagation in a network of regions," Journal of Economic Dynamics and Control, Elsevier, vol. 62(C), pages 56-75.
    55. Yuemei Ji, 2023. "Shock Therapy in Transition Countries: A Behavioral Macroeconomic Approach," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 65(3), pages 483-510, September.
    56. De Grauwe, Paul & Ji, Yuemei, 2016. "Inflation Targets And The Zero Lower Bound In A Behavioral Macroeconomic Model," CEPR Discussion Papers 11320, C.E.P.R. Discussion Papers.
    57. Herbert Dawid & Philipp Harting, 2012. "Capturing Firm Behavior in Agent-based Models of Industry Evolution and Macroeconomic Dynamics," Chapters, in: Guido Buenstorf (ed.), Evolution, Organization and Economic Behavior, chapter 6, Edward Elgar Publishing.
    58. Yeh, Kuo-chun, 2017. "Asset price targeting in an open economy with cognitive limitations: The best for macroeconomic and financial stability?," The North American Journal of Economics and Finance, Elsevier, vol. 39(C), pages 288-299.
    59. Mauro Napoletano & Giovanni Dosi & Giorgio Fagiolo & Andrea Roventini, 2012. "Wage formation investment behavior and growth regimes: an agent-based analysis," SciencePo Working papers Main hal-01024669, HAL.
    60. Schoder, Christian, 2017. "Are Dynamic Stochastic Disequilibrium models Keynesian or neoclassical?," Structural Change and Economic Dynamics, Elsevier, vol. 40(C), pages 46-63.
    61. Paola D’Orazio & Marco Valente, 2018. "Do Financial Constraints Hamper Environmental Innovation Diffusion? An Agent-Based Approach," SPRU Working Paper Series 2018-10, SPRU - Science Policy Research Unit, University of Sussex Business School.
    62. Simone LENZU & Gabriele TEDESCHI, 2012. "Systemic risk on different interbank network topologies," Working Papers 375, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    63. Iori, G. & Porter, J., 2012. "Agent-Based Modelling for Financial Markets," Working Papers 12/08, Department of Economics, City University London.
    64. Arturo Ramos, 2017. "Are the log-growth rates of city sizes distributed normally? Empirical evidence for the USA," Empirical Economics, Springer, vol. 53(3), pages 1109-1123, November.
    65. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2012. "Income Distribution, Credit and Fiscal Policies in an Agent-Based Keynesian Model," Documents de Travail de l'OFCE 2012-06, Observatoire Francais des Conjonctures Economiques (OFCE).
    66. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2014. "Micro and Macro Policies in Keynes+Schumpeter Evolutionary Models," LEM Papers Series 2014/21, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    67. Mandel, Antoine & Landini, Simone & Gallegati, Mauro & Gintis, Herbert, 2015. "Price dynamics, financial fragility and aggregate volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 257-277.
    68. Andrea Vandin & Daniele Giachini & Francesco Lamperti & Francesca Chiaromonte, 2021. "Automated and Distributed Statistical Analysis of Economic Agent-Based Models," Papers 2102.05405, arXiv.org, revised Nov 2023.
    69. Julian di Giovanni & Andrei A. Levchenko, 2011. "Country Size, International Trade, and Aggregate Fluctuations in Granular Economies," NBER Working Papers 17335, National Bureau of Economic Research, Inc.
    70. Giovanni Dosi, 2022. "The Agenda for Evolutionary Economics: Results, Dead Ends, and Challenges Ahead," LEM Papers Series 2022/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    71. Dawid, Herbert & Gemkow, Simon & Harting, Philipp & Neugart, Michael, 2013. "Labor market integration policies and the convergence of regions: the role of skills and technology diffusion," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 63664, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    72. Battiston, Stefano & Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Stiglitz, Joseph E., 2007. "Credit chains and bankruptcy propagation in production networks," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2061-2084, June.
    73. Corrado DI GUILMI & FUJIWARA Yoshi, 2022. "Does the Supply Network Shape the Firm Size Distribution? The Japanese case," Discussion papers 22082, Research Institute of Economy, Trade and Industry (RIETI).
    74. Alberto Russo, 2009. "On the evolution of the Italian bank branch distribution," Economics Bulletin, AccessEcon, vol. 29(3), pages 2063-2078.
    75. Erlingsson, Einar Jón & Alfarano, Simone & Raberto, Marco & Stefánsson, Hlynur, 2012. "On the distributional properties of size, pro fit and growth of Icelandic firms," MPRA Paper 35857, University Library of Munich, Germany.
    76. Julian di Giovanni & Andrei A. Levchenko, 2009. "International Trade and Aggregate Fluctuations in Granular Economies," Working Papers 585, Research Seminar in International Economics, University of Michigan.
    77. Domenico Delli Gatti & Mauro Gallegati, 2004. "Weird Ties? : Growth, Cycles and Firms Dynamics in an Agent Based-Model with Financial Market Imperfections," Computing in Economics and Finance 2004 288, Society for Computational Economics.
    78. Teglio, Andrea, 2020. "On the typicality of the representative agent," MPRA Paper 105407, University Library of Munich, Germany.
    79. Aßmuth, Pascal, 2017. "Stock price related financial fragility and growth patterns," Economics Discussion Papers 2017-108, Kiel Institute for the World Economy (IfW Kiel).
    80. Gobbi, Alessandro & Grazzini, Jakob, 2019. "A basic New Keynesian DSGE model with dispersed information: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 101-116.
    81. De Grauwe, Paul & Ji, Yuemei, 2020. "Structural reforms, animal spirits and monetary policies," LSE Research Online Documents on Economics 103502, London School of Economics and Political Science, LSE Library.
    82. Antonio Palestrini, 2015. "Firm Size Distribution and the Survival Bias," Economics Bulletin, AccessEcon, vol. 35(3), pages 1630-1637.
    83. Weisbuch, Gérard & Battiston, Stefano, 2007. "From production networks to geographical economics," Journal of Economic Behavior & Organization, Elsevier, vol. 64(3-4), pages 448-469.
    84. Carolina Castaldi & Giovanni Dosi, 2009. "The patterns of output growth of firms and countries: Scale invariances and scale specificities," Empirical Economics, Springer, vol. 37(3), pages 475-495, December.
    85. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    86. Mauro Napoletano, 2018. "A short walk on the wild side : agent based models and their implications for macroeconomic analysis," SciencePo Working papers Main hal-03443471, HAL.
    87. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2011. "Debt deleveraging and business cycles: An agent-based perspective," Economics Discussion Papers 2011-31, Kiel Institute for the World Economy (IfW Kiel).
    88. Dan Farhat, 2014. "Information Processing, Pattern Transmission and Aggregate Consumption Patterns in New Zealand:," Working Papers 1405, University of Otago, Department of Economics, revised Mar 2014.
    89. Mauro Napoletano & Andrea Roventini & Jean Luc Gaffard, 2015. "Toward a low carbon growth in Mexico : is a double dividend possible ? A dynamic general equilibrium assessment," Documents de Travail de l'OFCE 2015-25, Observatoire Francais des Conjonctures Economiques (OFCE).
    90. Datta, Bikramaditya & Sethi, Rajiv, 2023. "The dynamics of leverage and the belief distribution of wealth," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 20-31.
    91. Chorowski, Michał & Kutner, Ryszard, 2021. "Critical phenomena in the market of competing firms induced by state interventionism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
    92. Gross, Marco, 2022. "Beautiful cycles: A theory and a model implying a curious role for interest," Economic Modelling, Elsevier, vol. 106(C).
    93. Ichiro Takahashi, 2021. "An Artificial Wicksell—Keynes Macroeconomy," Springer Books, Springer, number 978-981-16-6839-5, June.
    94. Giulio Bottazzi, 2007. "On the Irreconcilability of Pareto and Gibrat Laws," LEM Papers Series 2007/10, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    95. Ахмадеев Б.А.* & Макаров В.Л.**, 2019. "Система Оценки Проектов На Основе Комбинированных Методов Компьютерной Оптимизации," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 55(2), pages 5-23, апрель.
    96. Fabio Caccioli & Tiziana Di Matteo & Giulia Iori & Saqib Jafarey & Giacomo Livan & Simone Righi, 2022. "Introduction to the special issue on the 24th annual Workshop on Economic science with Heterogeneous Interacting Agents, London, 2019 (WEHIA 2019)," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 401-404, April.
    97. Bianchi, Carlo & Cirillo, Pasquale & Gallegati, Mauro & Vagliasindi, Pietro A., 2008. "Validation in agent-based models: An investigation on the CATS model," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 947-964, September.
    98. Dan Farhat, 2012. "Artificial Neural Networks and Aggregate Consumption Patterns in New Zealand," Working Papers 1205, University of Otago, Department of Economics, revised Dec 2012.
    99. Andrea Borsato, 2021. "Simple Matching Protocols for Agent-based Models," Working Papers of BETA 2021-35, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    100. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2014. "Fiscal and monetary policies in complex evolving economies," Working Papers hal-03460560, HAL.
    101. Aßmuth, Pascal, 2020. "Stock price related financial fragility and growth patterns," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-34.
    102. Mauro Napoletano & Eric Guerci & Nobuyuki Hanaki, 2018. "Recent advances in financial networks and agent-based model validation," Post-Print hal-02299235, HAL.
    103. Andrea Borsato, 2021. "An Agent-based Model for Secular Stagnation in the USA: Theory and Empirical Evidence," LEM Papers Series 2021/09, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    104. Leonardo Bargigli & Gabriele Tedeschi, 2013. "Major trends in agent-based economics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 211-217, October.
    105. Heinrich, Torsten, 2015. "A Discontinuity Model of Technological Change: Catastrophe Theory and Network Structure," MPRA Paper 68089, University Library of Munich, Germany.
    106. Nathalie Lazaric & Silvano Cincotti & Wolfram Elsner & Anastasia Nesvetailova & Engelbert Stockhammer, 2020. "Towards an evolutionary political economy. Editorial to the inaugural issue of the Review of Evolutionary Political Economy REPE," Post-Print halshs-03000271, HAL.
    107. Saman Banafti & Tae-Hwy Lee, 2023. "Inferential Theory for Granular Instrumental Variables in High Dimensions," Working Papers 202308, University of California at Riverside, Department of Economics.
    108. Carolina Castaldi & Giovanni Dosi, 2007. "The patterns of output growth of firms and countries: new evidence on scale invariances and scale specificities," LEM Papers Series 2007/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    109. Gatti, Domenico Delli & Di Guilmi, Corrado & Gallegati, Mauro & Giulioni, Gianfranco, 2007. "Financial Fragility, Industrial Dynamics, And Business Fluctuations In An Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 11(S1), pages 62-79, November.
    110. Pasquale Cirillo & Carlo Bianchi & Mauro Gallegati & Pietro Vagliasindi, 2006. "Validating and Calibrating Agent-based Models: a Case Study," Computing in Economics and Finance 2006 277, Society for Computational Economics.
    111. De Grauwe, Paul & Ji, Yuemei, 2017. "Structural Reforms and Monetary Policies in a Behavioural Macroeconomic Model," CEPR Discussion Papers 12336, C.E.P.R. Discussion Papers.
    112. Catullo, Ermanno & Giri, Federico & Gallegati, Mauro, 2021. "Macro- And Microprudential Policies: Sweet And Lowdown In A Credit Network Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 25(5), pages 1227-1246, July.
    113. Corrado Di Guilmi & Mauro Gallegati & Simone Landini, 2010. "Financial Fragility, Mean-field Interaction and Macroeconomic Dynamics: A Stochastic Model," Chapters, in: Neri Salvadori (ed.), Institutional and Social Dynamics of Growth and Distribution, chapter 13, Edward Elgar Publishing.
    114. Kuhla, Kilian & Willner, Sven N & Otto, Christian & Levermann, Anders, 2023. "Resilience of international trade to typhoon-related supply disruptions," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    115. Neveu, Andre R., 2013. "Fiscal policy and business cycle characteristics in a heterogeneous agent macro model," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 224-240.
    116. Domenico Delli Gatti & Mauro Gallegati & Bruce C. Greenwald & Alberto Russo & Joseph E. Stiglitz, 2008. "Financially Constrained Fluctuations in an Evolving Network Economy," NBER Working Papers 14112, National Bureau of Economic Research, Inc.
    117. B. Coluzzi & M. Ghil & S. Hallegatte & G. Weisbuch, 2010. "Boolean delay equations on networks: An application to economic damage propagation," Papers 1003.0793, arXiv.org.
    118. Gräbner, Claudius & Heimberger, Philipp & Kapeller, Jakob & Landesmann, Michael & Schütz, Bernhard, 2021. "The evolution of debtor-creditor relationships within a monetary union: Trade imbalances, excess reserves and economic policy," ifso working paper series 10, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    119. Gerard Weisbuch & Stefano Battiston, 2005. "Production networks and failure avalanches," Papers physics/0507101, arXiv.org.
    120. Dessertaine, Théo & Moran, José & Benzaquen, Michael & Bouchaud, Jean-Philippe, 2022. "Out-of-equilibrium dynamics and excess volatility in firm networks," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    121. Paul De Grauwe & Yuemei Ji, 2017. "Analyzing Structural Reforms Using a Behavioral Macroeconomic Model," CESifo Working Paper Series 6518, CESifo.
    122. Giovanni Dosi, 2012. "Economic Coordination and Dynamics: Some Elements of an Alternative "Evolutionary" Paradigm," LEM Papers Series 2012/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    123. Massing, Till & Puente-Ajovín, Miguel & Ramos, Arturo, 2020. "On the parametric description of log-growth rates of cities’ sizes of four European countries and the USA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    124. Halvarsson, Daniel, 2013. "Identifying High-Growth Firms," Ratio Working Papers 215, The Ratio Institute.
    125. Lilit Popoyan, 2020. "Macroprudential Policy: a Blessing or a Curse?," Review of Economics and Institutions, Università di Perugia, vol. 11(1-2).
    126. Heinrich, Torsten & Dai, Shuanping, 2016. "Diversity of firm sizes, complexity, and industry structure in the Chinese economy," Structural Change and Economic Dynamics, Elsevier, vol. 37(C), pages 90-106.
    127. Simone Berardi & Gabriele Tedeschi, 2016. "How banks’ strategies influence financial cycles: An approach to identifying micro behavior," Working Papers 2016/24, Economics Department, Universitat Jaume I, Castellón (Spain).
    128. Jean-Luc Gaffard & Mauro Napoletano, 2018. "Market disequilibrium, monetary policy, and financial markets : insights from new tools," Documents de Travail de l'OFCE 2018-21, Observatoire Francais des Conjonctures Economiques (OFCE).
    129. Delli Gatti, Domenico & Di Guilmi, Corrado & Gaffeo, Edoardo & Gallegati, Mauro, 2004. "Bankruptcy as an exit mechanism for systems with a variable number of components," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(1), pages 8-13.
    130. Özge Dilaver & Robert Jump & Paul Levine, 2016. "Agent-based Macroeconomics and Dynamic Stochastic General Equilibrium Models: Where do we go from here?," School of Economics Discussion Papers 0116, School of Economics, University of Surrey.
    131. D. Sornette, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based models," Papers 1404.0243, arXiv.org.
    132. Hosseiny, Ali & Gallegati, Mauro, 2017. "Role of intensive and extensive variables in a soup of firms in economy to address long run prices and aggregate data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 51-59.
    133. Ciola, Emanuele & Gaffeo, Edoardo & Gallegati, Mauro, 2022. "Search for profits and business fluctuations: How does banks’ behaviour explain cycles?," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    134. Bahrami, Mohammad & Chinichian, Narges & Hosseiny, Ali & Jafari, Gholamreza & Ausloos, Marcel, 2020. "Optimization of the post-crisis recovery plans in scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    135. Vandin, Andrea & Giachini, Daniele & Lamperti, Francesco & Chiaromonte, Francesca, 2022. "Automated and distributed statistical analysis of economic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    136. Ashraf, Quamrul & Gershman, Boris & Howitt, Peter, 2017. "Banks, market organization, and macroeconomic performance: An agent-based computational analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 143-180.
    137. Greg Hannsgen & Tai Young-Taft, 2015. "Inside Money in a Kaldor-Kalecki-Steindl Fiscal Policy Model: The Unit of Account, Inflation, Leverage, and Financial Fragility," Economics Working Paper Archive wp_839, Levy Economics Institute.
    138. Dan Farhat, 2014. "Artificial Neural Networks and Aggregate Consumption Patterns in New Zealand:," Working Papers 1404, University of Otago, Department of Economics, revised Mar 2014.
    139. Nadja König & Ingrid Größl, 2014. "Catching up with the Joneses and Borrowing Constraints: An Agent-based Analysis of Household Debt," Macroeconomics and Finance Series 201404, University of Hamburg, Department of Socioeconomics.
    140. Torsten Heinrich, 2018. "A Discontinuity Model of Technological Change: Catastrophe Theory and Network Structure," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 407-425, March.
    141. Tiziana Assenza & Domenico Delli Gatti, 2019. "The financial transmission of shocks in a simple hybrid macroeconomic agent based model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 265-297, March.
    142. Ichiro Takahashi, 2021. "Market Mechanism: Stabilizing or Destabilizing?," Springer Books, in: An Artificial Wicksell—Keynes Macroeconomy, chapter 0, pages 1-20, Springer.
    143. Domenico Delli Gatti & Mauro Gallegati & Bruce Greenwald & Alberto Russo & Joseph E. Stiglitz, 2010. "Business fluctuations in a credit-network economy," Papers 1006.3521, arXiv.org.
    144. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.
    145. Paul De Grauwe, 2010. "Top-Down versus Bottom-Up Macroeconomics," CESifo Economic Studies, CESifo Group, vol. 56(4), pages 465-497, December.
    146. Didier SORNETTE, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based Models," Swiss Finance Institute Research Paper Series 14-25, Swiss Finance Institute.
    147. Tedeschi, Gabriele & Vidal-Tomás, David & Delli-Gatti, Domenico & Gallegati, Mauro, 2021. "The macroeconomic effects of default and debt restructuring: An agent based exploration," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 1146-1163.
    148. Leopoldo S'anchez-Cant'u & Carlos Arturo Soto-Campos & Andriy Kryvko, 2016. "Evidence of Self-Organization in Time Series of Capital Markets," Papers 1604.03996, arXiv.org, revised Mar 2017.
    149. Jakob Grazzini & Matteo Richiardi, 2014. "Estimation of Ergodic Agent-Based Models by Simulated Minimum Distance," Economics Papers 2014-W07, Economics Group, Nuffield College, University of Oxford.
    150. Stefania VITALI & Gabriele TEDESCHI, 2011. "The impact of classes of innovators on Technology, Financial Fragility and Economic Growth," Working Papers 370, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    151. Di Guilmi, C. & Gallegati, M. & Landini, S. & Stiglitz, J.E., 2020. "An analytical solution for network models with heterogeneous and interacting agents," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 189-220.
    152. Assenza, T. & Delli Gatti, D. & Gallegati, M., 2007. "Heterogeneity and Aggregation in a Financial Accelerator Model," CeNDEF Working Papers 07-13, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    153. Henriet, Fanny & Hallegatte, Stephane, 2008. "Assessing the Consequences of Natural Disasters on Production Networks: A Disaggregated Approach," Coalition Theory Network Working Papers 46657, Fondazione Eni Enrico Mattei (FEEM).
    154. Maziarz Mariusz, 2019. "A disequilibrium mechanism: When managerial decisions cause macroeconomic instability," Economics and Business Review, Sciendo, vol. 5(1), pages 79-92, March.
    155. Paul De Grauwe, 2014. "Booms and Busts in Economic Activity: A Behavioral Explanation," World Scientific Book Chapters, in: Exchange Rates and Global Financial Policies, chapter 19, pages 521-556, World Scientific Publishing Co. Pte. Ltd..
    156. Paul Windrum & Giorgio Fagiolo & Alessio Moneta, 2007. "Empirical Validation of Agent-Based Models: Alternatives and Prospects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-8.
    157. Heinrich, Torsten, 2016. "The Narrow and the Broad Approach to Evolutionary Modeling in Economics," MPRA Paper 75797, University Library of Munich, Germany.
    158. Emanuele Ciola & Gabriele Tedeschi, 2021. "From interaction to business fluctuations: How credit network explain cycles," Working Papers 2021/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    159. Edgardo Bucciarelli & Marcello Silvestri, 2013. "Hyman P. Minsky's unorthodox approach: recent advances in simulation techniques to develop his theoretical assumptions," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 36(2), pages 299-324.
    160. Ichiro Takahashi & Isamu Okada, 2020. "An artificial Wicksell–Keynes economy integrating short-run business cycle and long-term cumulative trend," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 953-998, October.
    161. Neri Salvadori (ed.), 2010. "Institutional and Social Dynamics of Growth and Distribution," Books, Edward Elgar Publishing, number 13365.
    162. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046.
    163. Poledna, Sebastian & Bochmann, Olaf & Thurner, Stefan, 2017. "Basel III capital surcharges for G-SIBs are far less effective in managing systemic risk in comparison to network-based, systemic risk-dependent financial transaction taxes," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 230-246.
    164. Oldham, Matthew, 2020. "Quantifying the concerns of Dimon and Buffett with data and computation," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    165. Ermanno Catullo & Antonio Palestrini & Ruggero Grilli & Mauro Gallegati, 2018. "Early warning indicators and macro-prudential policies: a credit network agent based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 81-115, April.
    166. Di Guilmi, Corrado & Gallegati, Mauro & Landini, Simone, 2008. "Modeling Maximum Entropy and Mean-Field Interaction in Macroeconomics," Economics Discussion Papers 2008-36, Kiel Institute for the World Economy (IfW Kiel).
    167. Paul De Grauwe, 2012. "Lectures on Behavioral Macroeconomics," Economics Books, Princeton University Press, edition 1, volume 1, number 9891.
    168. Mosetti, Giancarlo & Jug, Giancarlo & Scalas, Enrico, 2007. "Power laws from randomly sampled continuous-time random walks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 375(1), pages 233-238.
    169. Thomas Brenner & Matthias Duschl, 2018. "Modeling Firm and Market Dynamics: A Flexible Model Reproducing Existing Stylized Facts on Firm Growth," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 745-772, October.
    170. Susan Schroeder, 2009. "Defining and detecting financial fragility: New Zealand's experience," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 36(3), pages 287-307, February.
    171. Pasquale Cirillo & Mauro Gallegati, 2012. "The Empirical Validation of an Agent-based Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 38(4), pages 525-547.
    172. Emanuele Ciola & Edoardo Gaffeo & Mauro Gallegati, 2021. "Search for Profits and Business Fluctuations: How Banks' Behaviour Explain Cycles?," Working Papers 450, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    173. Guilmi, Corrado Di & Gallegati, Mauro & Ormerod, Paul, 2004. "Scaling invariant distributions of firms’ exit in OECD countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 334(1), pages 267-273.
    174. Palestrini, Antonio, 2007. "Analysis of industrial dynamics: A note on the relationship between firms' size and growth rate," Economics Letters, Elsevier, vol. 94(3), pages 367-371, March.
    175. Xu, Yan & Wang, Yougui & Tao, Xiaobo & Ližbetinová, Lenka, 2017. "Evidence of Chinese income dynamics and its effects on income scaling law," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 487(C), pages 143-152.
    176. Joseph E Stiglitz & Mauro Gallegati, 2011. "Heterogeneous Interacting Agent Models for Understanding Monetary Economies," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 6-12.
    177. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    178. Deborah Noguera & Gabriel Montes-Rojas, 2022. "Credit-constrained fluctuations and uncertainty in a network economy," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(80), pages 5-52, November.
    179. Hiroyasu Inoue, 2021. "Propagation of International Supply-Chain Disruptions between Firms in a Country," JRFM, MDPI, vol. 14(10), pages 1-14, October.
    180. Catullo, Ermanno & Gallegati, Mauro & Palestrini, Antonio, 2015. "Systemic risk and macro-prudential policies: A credit network-based approach," FinMaP-Working Papers 39, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    181. Bernardo A. Furtado & Miguel A. Fuentes & Claudio J. Tessone, 2019. "Policy Modeling and Applications: State-of-the-Art and Perspectives," Complexity, Hindawi, vol. 2019, pages 1-11, February.
    182. Domenico Delli Gatti & Corrado Di Guilmi & Mauro Gallegati & Simone Landini, 2012. "Reconstructing Aggregate Dynamics in Heterogeneous Agents Models. A Markovian Approach," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 117-146.
    183. Giorgio Fagiolo & Alessio Moneta & Paul Windrum, 2007. "A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 195-226, October.
    184. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.
    185. Daiki Asanuma, 2013. "Lending attitude as a financial accelerator in a credit network economy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 231-247, October.
    186. Arturo, Ramos, 2019. "Have the log-population processes stationary and independent increments? Empirical evidence for Italy, Spain and the USA along more than a century," MPRA Paper 93562, University Library of Munich, Germany.

  116. Clementi, F. & Gallegati, M., 2005. "Power law tails in the Italian personal income distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 350(2), pages 427-438.
    See citations under working paper version above.
  117. Gatti, Domenico Delli & Gallegati, Marco & Gallegati, Mauro, 2005. "On the nature and causes of business fluctuations in Italy, 1861-2000," Explorations in Economic History, Elsevier, vol. 42(1), pages 81-100, January.

    Cited by:

    1. Almeida, Pedro Cameira de & Fuinhas, José Alberto & Marques, António Cardoso, 2011. "A assimetria dos ciclos económicos: Evidência internacional usando o teste triples [The asymmetry of business cycles: International evidence using triples test]," MPRA Paper 35208, University Library of Munich, Germany.
    2. Bartoletto, Silvana & Chiarini, Bruno & Marzano, Elisabetta & Piselli, Paolo, 2019. "Business cycles, credit cycles, and asymmetric effects of credit fluctuations: Evidence from Italy for the period of 1861–2013," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    3. Sella, Lisa & Marchionatti, Roberto & Cassata, Francesco, 2010. "Economic Growth and Cycles in Italy, 1881-1913 Luigi Einaudi’s Interpretation Revisited," CESMEP Working Papers 201005, University of Turin.

  118. Domenico Delli Gatti & Edoardo Gaffeo & Mauro Gallegati & Antonio Palestrini, 2005. "The Apprentice Wizard: Montetary Policy, Complexity And Learning," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 109-128.

    Cited by:

    1. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Monetary policy and large crises in a financial accelerator agent-based model," FinMaP-Working Papers 65, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.

  119. Domenico Delli Gatti & Corrado Di Guilmi & Edoardo Gaffeo & Gianfranco Giulioni & Mauro Gallegati & Antonio Palestrini, 2004. "Business Cycle Fluctuations And Firms' Size Distribution Dynamics," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 223-240.

    Cited by:

    1. Irina Bashkirtseva & Alexander Pisarchik & Lev Ryashko & Tatyana Ryazanova, 2016. "Excitability And Complex Mixed-Mode Oscillations In Stochastic Business Cycle Model," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(01n02), pages 1-16, February.
    2. Matteo Richiardi, 2006. "Toward a Non-Equilibrium Unemployment Theory," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 421-446, November.
    3. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).

  120. Fujiwara, Yoshi & Di Guilmi, Corrado & Aoyama, Hideaki & Gallegati, Mauro & Souma, Wataru, 2004. "Do Pareto–Zipf and Gibrat laws hold true? An analysis with European firms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 335(1), pages 197-216.
    See citations under working paper version above.
  121. Delli Gatti, Domenico & Di Guilmi, Corrado & Gaffeo, Edoardo & Gallegati, Mauro, 2004. "Bankruptcy as an exit mechanism for systems with a variable number of components," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(1), pages 8-13.

    Cited by:

    1. Pierpaolo Andriani & Bill McKelvey, 2007. "Beyond Gaussian averages: redirecting international business and management research toward extreme events and power laws," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 38(7), pages 1212-1230, December.
    2. Caiani, Alessandro & Godin, Antoine & Caverzasi, Eugenio & Gallegati, Mauro & Kinsella, Stephen & Stiglitz, Joseph E., 2016. "Agent based-stock flow consistent macroeconomics: Towards a benchmark model," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 375-408.
    3. Gatti, Domenico Delli & Di Guilmi, Corrado & Gallegati, Mauro & Giulioni, Gianfranco, 2007. "Financial Fragility, Industrial Dynamics, And Business Fluctuations In An Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 11(S1), pages 62-79, November.
    4. Corrado DI GUILMI, 2008. "Financial Determinants of Firms Profitability: A Hazard Function Investigation," Working Papers 315, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    5. Wright, Ian, 2008. "Implicit Microfoundations for Macroeconomics," Economics Discussion Papers 2008-41, Kiel Institute for the World Economy (IfW Kiel).
    6. Michael I.C. Nwogugu, 2019. "Complex Systems, Multi-Sided Incentives and Risk Perception in Companies," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-137-44704-3, December.

  122. Bischi, Gian Italo & Gatti, Domenico Delli & Gallegati, Mauro, 2004. "Financial conditions, strategic interaction and complex dynamics: a game-theoretic model of financially driven fluctuations," Journal of Economic Behavior & Organization, Elsevier, vol. 53(2), pages 145-171, February.

    Cited by:

    1. Sean Holly & Emiliano Santoro, 2007. "Financial Fragility, Heterogeneous Firms and the Cross Section of the Business Cycle," Money Macro and Finance (MMF) Research Group Conference 2006 96, Money Macro and Finance Research Group.

  123. Fujiwara, Yoshi & Aoyama, Hideaki & Di Guilmi, Corrado & Souma, Wataru & Gallegati, Mauro, 2004. "Gibrat and Pareto–Zipf revisited with European firms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(1), pages 112-116.

    Cited by:

    1. Julian di Giovanni & Andrei A. Levchenko, 2009. "Firm Entry, Trade, and Welfare in Zipf's World," Working Papers 591, Research Seminar in International Economics, University of Michigan.
    2. Cirillo, Pasquale & Hüsler, Jürg, 2009. "On the upper tail of Italian firms’ size distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1546-1554.
    3. Beare, Brendan K & Toda, Alexis Akira, 2020. "On the emergence of a power law in the distribution of COVID-19 cases," University of California at San Diego, Economics Working Paper Series qt9k5027d0, Department of Economics, UC San Diego.
    4. Junho Na & Jeong-dong Lee & Chulwoo Baek, 2017. "Is the service sector different in size heterogeneity?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(1), pages 95-120, April.
    5. Kang, Sang Hoon & Jiang, Zhuhua & Cheong, Chongcheul & Yoon, Seong-Min, 2011. "Changes of firm size distribution: The case of Korea," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(2), pages 319-327.
    6. Kuscsik, Zoltán & Horváth, Denis & Gmitra, Martin, 2007. "The critical properties of the agent-based model with environmental–economic interactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(1), pages 199-206.
    7. Misako Takayasu & Hayafumi Watanabe & Hideki Takayasu, 2013. "Generalised central limit theorems for growth rate distribution of complex systems," Papers 1301.2728, arXiv.org, revised Jan 2014.
    8. Ikeda, Yuichi & Aoyama, Hideaki & Iyetomi, Hiroshi & Fujiwara, Yoshi & Souma, Wataru & Kaizoji, Taisei, 2007. "Response of firm agent network to exogenous shock," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 138-148.
    9. Guo, Jinzhong & Xu, Qi & Chen, Qinghua & Wang, Yougui, 2013. "Firm size distribution and mobility of the top 500 firms in China, the United States and the world," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(13), pages 2903-2914.
    10. Hideaki Aoyama & Yoshi Fujiwara & Yuichi Ikeda & Hiroshi Iyetomi & Wataru Souma, 2010. "Econophysics on Real Economy -The First Decade of the Kyoto Econophysics Group-," Papers 1006.5587, arXiv.org, revised Jul 2010.
    11. Ishikawa, Atushi, 2006. "Annual change of Pareto index dynamically deduced from the law of detailed quasi-balance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 371(2), pages 525-535.
    12. A. Saichev & Y. Malevergne & D. Sornette, 2008. "Theory of Zipf's Law and of General Power Law Distributions with Gibrat's law of Proportional Growth," Papers 0808.1828, arXiv.org.
    13. Ma, Qi & Chen, Yongwang & Tong, Hui & Di, Zengru, 2008. "Production, depreciation and the size distribution of firms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(13), pages 3209-3217.
    14. Sun, Churen & Zhang, Tao, 2012. "Export, Productivity Pattern, and Firm Size Distribution," MPRA Paper 36742, University Library of Munich, Germany.
    15. Ishikawa, Atushi, 2006. "Pareto index induced from the scale of companies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(2), pages 367-376.
    16. Wang Dahui & Zhou Li & Di Zengru, 2005. "Bipartite Producer-Consumer Networks and the Size Distribution of Firms," Papers physics/0507163, arXiv.org.
    17. Ishikawa, Atushi, 2006. "Derivation of the distribution from extended Gibrat's law," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 367(C), pages 425-434.
    18. Kočišová, J. & Horváth, D. & Brutovský, B., 2009. "The efficiency of individual optimization in the conditions of competitive growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(17), pages 3585-3592.

  124. Guilmi, Corrado Di & Gallegati, Mauro & Ormerod, Paul, 2004. "Scaling invariant distributions of firms’ exit in OECD countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 334(1), pages 267-273.

    Cited by:

    1. Caiani, Alessandro & Godin, Antoine & Caverzasi, Eugenio & Gallegati, Mauro & Kinsella, Stephen & Stiglitz, Joseph E., 2016. "Agent based-stock flow consistent macroeconomics: Towards a benchmark model," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 375-408.
    2. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Joseph E. Stiglitz & Tania Treibich, 2020. "Rational Heuristics? Expectations And Behaviors In Evolving Economies With Heterogeneous Interacting Agents," Economic Inquiry, Western Economic Association International, vol. 58(3), pages 1487-1516, July.
    3. Junho Na & Jeong-dong Lee & Chulwoo Baek, 2017. "Is the service sector different in size heterogeneity?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(1), pages 95-120, April.
    4. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2012. "Income Distribution, Credit and Fiscal Policies in an Agent-Based Keynesian Model," Documents de Travail de l'OFCE 2012-06, Observatoire Francais des Conjonctures Economiques (OFCE).
    5. Dahui, Wang & Li, Zhou & Zengru, Di, 2006. "Bipartite producer–consumer networks and the size distribution of firms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(2), pages 359-366.
    6. Ormerod, Paul, 2015. "The economics of radical uncertainty," Economics Discussion Papers 2015-40, Kiel Institute for the World Economy (IfW Kiel).
    7. Gao, Baojun & Chan, Wai Kin (Victor) & Li, Hongyi, 2015. "On the increasing inequality in size distribution of China's listed companies," China Economic Review, Elsevier, vol. 36(C), pages 25-41.
    8. Andrew G. Haldane & Arthur E. Turrell, 2019. "Drawing on different disciplines: macroeconomic agent-based models," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 39-66, March.
    9. Ma, Qi & Chen, Yongwang & Tong, Hui & Di, Zengru, 2008. "Production, depreciation and the size distribution of firms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(13), pages 3209-3217.
    10. Bridget Rosewell & Paul Ormerod, 2004. "How much can firms know?," Computing in Economics and Finance 2004 44, Society for Computational Economics.
    11. Wang Dahui & Zhou Li & Di Zengru, 2005. "Bipartite Producer-Consumer Networks and the Size Distribution of Firms," Papers physics/0507163, arXiv.org.

  125. Marco Gallegati & Mauro Gallegati & Wolfgang Polasek, 2004. "Business Cycle Fluctuations in Mediterranean Countries (1960-2000)," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 40(6), pages 28-47, November.

    Cited by:

    1. Dionysios K. Solomos & Dimitrios N. Koumparoulis, 2013. "Financial Sector and Business Cycles Determinants in the EMU: An Empirical Approach (1996-2011)," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 34-58.
    2. Almeida, Pedro Cameira de & Fuinhas, José Alberto & Marques, António Cardoso, 2011. "A assimetria dos ciclos económicos: Evidência internacional usando o teste triples [The asymmetry of business cycles: International evidence using triples test]," MPRA Paper 35208, University Library of Munich, Germany.
    3. Chakrabarti, Anindya S., 2016. "Stochastic Lotka–Volterra equations: A model of lagged diffusion of technology in an interconnected world," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 214-223.
    4. Solomos, Dionysios & Papageorgiou, Theofanis & Koumparoulis, Dimitrios, 2012. "Financial Sector and Business Cycles Determinants in the EMU context: An Empirical Approach (1996-2011)," MPRA Paper 43858, University Library of Munich, Germany.
    5. Chakrabarti, Anindya S., 2015. "Stochastic Lotka-Volterra equations: A model of lagged diffusion of technology in an interconnected world," IIMA Working Papers WP2015-08-05, Indian Institute of Management Ahmedabad, Research and Publication Department.

  126. Di Guilmi, Corrado & Gaffeo, Edoardo & Gallegati, Mauro, 2004. "Empirical results on the size distribution of business cycle phases," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 333(C), pages 325-334.

    Cited by:

    1. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    2. Gatti, Domenico Delli & Guilmi, Corrado Di & Gaffeo, Edoardo & Giulioni, Gianfranco & Gallegati, Mauro & Palestrini, Antonio, 2005. "A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 489-512, April.
    3. Campolieti, Michele, 2019. "The durations of recession and prosperity: What distribution do they follow?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    4. Funashima, Yoshito, 2016. "Governmentally amplified output volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 469-478.
    5. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    6. Gatti, Domenico Delli & Di Guilmi, Corrado & Gallegati, Mauro & Giulioni, Gianfranco, 2007. "Financial Fragility, Industrial Dynamics, And Business Fluctuations In An Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 11(S1), pages 62-79, November.
    7. Neveu, Andre R., 2013. "Fiscal policy and business cycle characteristics in a heterogeneous agent macro model," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 224-240.
    8. Edgardo Bucciarelli & Marcello Silvestri, 2013. "Hyman P. Minsky's unorthodox approach: recent advances in simulation techniques to develop his theoretical assumptions," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 36(2), pages 299-324.
    9. Guilmi, Corrado Di & Gallegati, Mauro & Ormerod, Paul, 2004. "Scaling invariant distributions of firms’ exit in OECD countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 334(1), pages 267-273.
    10. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    11. Fabio Clementi & Marco Gallegati & Mauro Gallegati, 2015. "Growth and Cycles of the Italian Economy Since 1861: The New Evidence," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 1(1), pages 25-59, March.

  127. Gaffeo, Edoardo & Gallegati, Mauro & Giulioni, Gianfranco & Palestrini, Antonio, 2003. "Power laws and macroeconomic fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 408-416.

    Cited by:

    1. Campolieti, Michele, 2019. "The durations of recession and prosperity: What distribution do they follow?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    2. Mauro Gallegati & Gianfranco Giulioni, 2003. "Complex Dynamics and Financial Fragility in an Agent Based Model," Computing in Economics and Finance 2003 86, Society for Computational Economics.
    3. Neveu, Andre R., 2013. "Fiscal policy and business cycle characteristics in a heterogeneous agent macro model," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 224-240.
    4. Paul Ormerod & Amy Heineike, 2009. "Global recessions as a cascade phenomenon with interacting agents," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(1), pages 15-26, June.
    5. Delli Gatti, Domenico & Di Guilmi, Corrado & Gaffeo, Edoardo & Gallegati, Mauro, 2004. "Bankruptcy as an exit mechanism for systems with a variable number of components," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(1), pages 8-13.
    6. Edgardo Bucciarelli & Marcello Silvestri, 2013. "Hyman P. Minsky's unorthodox approach: recent advances in simulation techniques to develop his theoretical assumptions," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 36(2), pages 299-324.
    7. Guilmi, Corrado Di & Gallegati, Mauro & Ormerod, Paul, 2004. "Scaling invariant distributions of firms’ exit in OECD countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 334(1), pages 267-273.
    8. Di Guilmi, Corrado & Gaffeo, Edoardo & Gallegati, Mauro, 2004. "Empirical results on the size distribution of business cycle phases," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 333(C), pages 325-334.
    9. Michał Brzeziński, 2013. "Robust estimation of the Pareto index: A Monte Carlo Analysis," Working Papers 2013-32, Faculty of Economic Sciences, University of Warsaw.
    10. Fabio Clementi & Marco Gallegati & Mauro Gallegati, 2015. "Growth and Cycles of the Italian Economy Since 1861: The New Evidence," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 1(1), pages 25-59, March.

  128. Carl Chiarella & Mauro Gallegati & Roberto Leombruni & Antonio Palestrini, 2003. "Asset Price Dynamics among Heterogeneous Interacting Agents," Computational Economics, Springer;Society for Computational Economics, vol. 22(2), pages 213-223, October.
    See citations under working paper version above.
  129. Gallegati, M. & Gardini, L. & Puu, T. & Sushko, I., 2003. "Hicks’ trade cycle revisited: cycles and bifurcations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 63(6), pages 505-527.

    Cited by:

    1. Tramontana, Fabio & Gardini, Laura & Puu, Tönu, 2009. "Cournot duopoly when the competitors operate multiple production plants," Journal of Economic Dynamics and Control, Elsevier, vol. 33(1), pages 250-265, January.
    2. Puu, Tonu & Gardini, Laura & Sushko, Irina, 2005. "A Hicksian multiplier-accelerator model with floor determined by capital stock," Journal of Economic Behavior & Organization, Elsevier, vol. 56(3), pages 331-348, March.
    3. Zhusubaliyev, Zhanybai T. & Soukhoterin, Evgeniy & Mosekilde, Erik, 2007. "Quasiperiodicity and torus breakdown in a power electronic dc/dc converter," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 73(6), pages 364-377.

  130. Delli Gatti, Domenico & Gallegati, Mauro & Giulioni, Gianfranco & Palestrini, Antonio, 2003. "Financial fragility, patterns of firms' entry and exit and aggregate dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 51(1), pages 79-97, May.
    See citations under working paper version above.
  131. Corrado Di Guilmi & Mauro Gallegati & Edoardo Gaffeo, 2003. "Power Law Scaling in the World Income Distribution," Economics Bulletin, AccessEcon, vol. 15(6), pages 1-7.

    Cited by:

    1. Blair Fix, 2018. "Hierarchy and the power-law income distribution tail," Journal of Computational Social Science, Springer, vol. 1(2), pages 471-491, September.
    2. Andrea Monaco & Matteo Ghio & Adamaria Perrotta, 2024. "Wealth dynamics in a multi-aggregate closed monetary system," Papers 2401.09871, arXiv.org.
    3. Podobnik, Boris & Dabić, Marina & Wild, Dorian & Di Matteo, Tiziana, 2023. "The impact of STEM on the growth of wealth at varying scales, ranging from individuals to firms and countries: The performance of STEM firms during the pandemic across different markets," Technology in Society, Elsevier, vol. 72(C).
    4. Diego Garlaschelli & Maria I. Loffredo, 2007. "Effects of network topology on wealth distributions," Papers 0711.4710, arXiv.org, revised Jan 2008.
    5. Roki Iwahashi & Tomohiro Machikita, 2004. "A new empirical regularity in world income distribution dynamics, 1960-2001," Economics Bulletin, AccessEcon, vol. 6(19), pages 1-15.
    6. Fix, Blair, 2021. "Redistributing Income Through Hierarchy," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue 98, pages 58-86.
    7. Shana M. Sundstrom & David G. Angeler & Ahjond S. Garmestani & Jorge H. García & Craig R. Allen, 2014. "Transdisciplinary Application of Cross-Scale Resilience," Sustainability, MDPI, vol. 6(10), pages 1-24, October.
    8. Anirban Ghatak & Sudarshan Iyengar, 2014. "Corruption Breeds Corruption," Studies in Microeconomics, , vol. 2(1), pages 121-132, June.
    9. D. Garlaschelli & T. Di Matteo & T. Aste & G. Caldarelli & M. I. Loffredo, 2007. "Interplay between topology and dynamics in the World Trade Web," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 57(2), pages 159-164, May.
    10. D'Orazio, Paola, 2019. "Income inequality, consumer debt, and prudential regulation: An agent-based approach to study the emergence of crises and financial instability," Economic Modelling, Elsevier, vol. 82(C), pages 308-331.
    11. G. Fagiolo & M. Napoletano & A. Roventini, 2007. "How do output growth-rate distributions look like? Some cross-country, time-series evidence," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 57(2), pages 205-211, May.
    12. Bianchi, Carlo & Cirillo, Pasquale & Gallegati, Mauro & Vagliasindi, Pietro A., 2008. "Validation in agent-based models: An investigation on the CATS model," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 947-964, September.
    13. Davide Provenzano, 2017. "On the World Distribution of Income," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(1), pages 189-196, March.
    14. Pasquale Cirillo & Carlo Bianchi & Mauro Gallegati & Pietro Vagliasindi, 2006. "Validating and Calibrating Agent-based Models: a Case Study," Computing in Economics and Finance 2006 277, Society for Computational Economics.
    15. Rafael González-Val & Marcos Sanso-Navarro, 2010. "Gibrat’s law for countries," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(4), pages 1371-1389, September.
    16. Biggiero, Lucio & Angelini, Pier Paolo, 2015. "Hunting scale-free properties in R&D collaboration networks: Self-organization, power-law and policy issues in the European aerospace research area," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 21-43.
    17. Jia Shao & Plamen Ch. Ivanov & Boris Podobnik & H. Eugene Stanley, 2007. "Quantitative relations between corruption and economic factors," Papers 0705.0161, arXiv.org.
    18. Pasquale Cirillo & Mauro Gallegati, 2012. "The Empirical Validation of an Agent-based Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 38(4), pages 525-547.
    19. Alexander M. Petersen & Boris Podobnik & Davor Horvatic & H. Eugene Stanley, 2010. "Scale invariant properties of public debt growth," Papers 1002.2491, arXiv.org.
    20. Hernández-Ramírez, E. & del Castillo-Mussot, M. & Hernández-Casildo, J., 2021. "World per capita gross domestic product measured nominally and across countries with purchasing power parity: Stretched exponential or Boltzmann–Gibbs distribution?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 568(C).
    21. Tomson Ogwang, 2011. "Power laws in top wealth distributions: evidence from Canada," Empirical Economics, Springer, vol. 41(2), pages 473-486, October.

  132. Mauro Gallegati & Gianfranco Giulioni & Nozomi Kichiji, 2003. "Complex Dynamics And Financial Fragility In An Agent-Based Model," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 267-282.
    See citations under working paper version above.
  133. Gaffeo, Edoardo & Gallegati, Mauro & Palestrini, Antonio, 2003. "On the size distribution of firms: additional evidence from the G7 countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 117-123.

    Cited by:

    1. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2023. "Enter the MATRIX model:a Multi-Agent model for Transition Risks with application to energy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    2. Thomas Brenner & Matthias Duschl, 2014. "Modelling Firm and Market Dynamics - A Flexible Model Reproducing Existing Stylized Facts," Working Papers on Innovation and Space 2014-07, Philipps University Marburg, Department of Geography.
    3. Wenzhi Zheng & Yuting Lou & Yu Chen, 2019. "On the Unsustainable Macroeconomy with Increasing Inequality of Firms Induced by Excessive Liquidity," Sustainability, MDPI, vol. 11(11), pages 1-22, May.
    4. Gallegati, Mauro & Kirman, Alan, 2019. "20 years of WEHIA: A journey in search of a safer road," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 5-14.
    5. Blair Fix, 2021. "How the rich are different: hierarchical power as the basis of income size and class," Journal of Computational Social Science, Springer, vol. 4(2), pages 403-454, November.
    6. Fix, Blair, 2020. "Economic Development and the Death of the Free Market," Working Papers on Capital as Power 2020/01, Capital As Power - Toward a New Cosmology of Capitalism.
    7. Blair Fix, 2018. "Hierarchy and the power-law income distribution tail," Journal of Computational Social Science, Springer, vol. 1(2), pages 471-491, September.
    8. Boari, Cristina & Fioretti, Guido & Odorici, Vincenza, 2008. "Rivalry and Learning Among Clustered and Isolated Firms," MPRA Paper 13066, University Library of Munich, Germany.
    9. Domenico Delli Gatti & Edoardo Gaffeo & Mauro Gallegati, 2008. "A look at the relationship between industrial dynamics and aggregate fluctuations," Department of Economics Working Papers 0803, Department of Economics, University of Trento, Italia.
    10. Antonio Palestrini, 2008. "Common Components in Firms' Growth and the Sectors Scaling Puzzle," Economics Bulletin, AccessEcon, vol. 12(35), pages 1-8.
    11. Petra Štamfestová & Lukáš Sobíšek & Jiří Hnilica, 2023. "Firm Size Distribution in the Central European Context," Central European Business Review, Prague University of Economics and Business, vol. 2023(5), pages 151-175.
    12. Fix, Blair, 2020. "Economic Development and the Death of the Free Market," SocArXiv g86am, Center for Open Science.
    13. Jakob Grazzini & Domenico Massaro, 2016. "Dispersed Information and the Origins of Aggregate Fluctuations," CESifo Working Paper Series 5957, CESifo.
    14. Wright, Ian, 2005. "The social architecture of capitalism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 346(3), pages 589-620.
    15. Montebruno, Piero & Bennett, Robert J. & van Lieshout, Carry & Smith, Harry, 2019. "A tale of two tails: Do Power Law and Lognormal models fit firm-size distributions in the mid-Victorian era?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 858-875.
    16. Emanuele Ciola & Enrico Turco & Andrea Gurgone & Davide Bazzana & Sergio Vergalli & Francesco Menoncin, 2022. "Charging the macroeconomy with an energy sector: an agent-based model," Working Papers 2022.09, Fondazione Eni Enrico Mattei.
    17. Ying Fan & Menghui Li & Zengru Di, 2004. "Increasing Returns to Scale, Dynamics of Industrial Structure and Size Distribution of Firms," Papers cond-mat/0407383, arXiv.org.
    18. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2022. "Energy price shocks and stabilization policies in a multi-agent macroeconomic model for the Euro Area," FEEM Working Papers 324171, Fondazione Eni Enrico Mattei (FEEM).
    19. Heinrich, Torsten & Yang, Jangho & Dai, Shuanping, 2021. "Growth, development, and structural change at the firm level: The example of the PR China," Working Papers on East Asian Studies 128/2021, University of Duisburg-Essen, Institute of East Asian Studies IN-EAST.
    20. Carl Chiarella & Corrado Di Guilmi, 2013. "Monetary Policy and Debt Deflation: Some Computational Experiments," CAMA Working Papers 2013-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    21. Fix, Blair, 2019. "Energy, Hierarchy and the Origin of Inequality," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14(4, April), pages 1-32.
    22. Hongduo Cao & Ying Li & Yong Tan, 2014. "The synchronization club: classification of global economic groups by inequality," Applied Economics, Taylor & Francis Journals, vol. 46(21), pages 2502-2510, July.
    23. Carl Chiarella & Corrado Di Guilmi, 2010. "The Financial Instability Hypothesis: A Stochastic Microfoundation Framework," Research Paper Series 273, Quantitative Finance Research Centre, University of Technology, Sydney.
    24. Pedro Mazeda Gil & Fernanda Figueiredo, 2011. "Firm Size Distribution under Horizontal and Vertical Innovation," DEGIT Conference Papers c016_065, DEGIT, Dynamics, Economic Growth, and International Trade.
    25. Junho Na & Jeong-dong Lee & Chulwoo Baek, 2017. "Is the service sector different in size heterogeneity?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(1), pages 95-120, April.
    26. M. Gallegati & A. Palestrini & D. Gatti & E. Scalas, 2006. "Aggregation of Heterogeneous Interacting Agents: The Variant Representative Agent Framework," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 1(1), pages 5-19, May.
    27. Guido Fioretti, 2005. "The Production Function," Papers physics/0511191, arXiv.org.
    28. Gatti, Domenico Delli & Guilmi, Corrado Di & Gaffeo, Edoardo & Giulioni, Gianfranco & Gallegati, Mauro & Palestrini, Antonio, 2005. "A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 489-512, April.
    29. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2023. "Energy price shocks and stabilization policies in the MATRIX model," Energy Policy, Elsevier, vol. 177(C).
    30. Fix, Blair, 2016. "Energy and Institution Size," Working Papers on Capital as Power 2016/04, Capital As Power - Toward a New Cosmology of Capitalism.
    31. Mário Augusto & Rui Pascoal & Ana Margarida Monteiro, 2015. "Size Distribution of Portuguese Firms between 2006 and 2012," GEMF Working Papers 2015-04, GEMF, Faculty of Economics, University of Coimbra.
    32. Emiliano Santoro, 2006. "Macroeconomic fluctuations and the firms' rate of growth distribution: evidence from UK and US quoted companies," Department of Economics Working Papers 0606, Department of Economics, University of Trento, Italia.
    33. Kang, Sang Hoon & Jiang, Zhuhua & Cheong, Chongcheul & Yoon, Seong-Min, 2011. "Changes of firm size distribution: The case of Korea," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(2), pages 319-327.
    34. Geoff Willis, 2011. "Why Money Trickles Up - Wealth & Income Distributions," Papers 1105.2122, arXiv.org, revised May 2011.
    35. Fix, Blair, 2019. "How the rich are different: Hierarchical power as the basis of income and class," Working Papers on Capital as Power 2019/02, Capital As Power - Toward a New Cosmology of Capitalism.
    36. Coad, Alex, 2010. "Investigating the exponential age distribution of firms," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 4, pages 1-30.
    37. Andrew T. Balthrop, 2021. "Gibrat’s law in the trucking industry," Empirical Economics, Springer, vol. 61(1), pages 339-354, July.
    38. Roy Cerqueti & C. Lupi & F. Pietrovito & A. F. Pozzolo, 2022. "Rank-size distributions for banks: A cross-country analysis," Post-Print hal-03789180, HAL.
    39. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    40. Fix, Blair, 2018. "The Growth of US Top Income Inequality: A Hierarchical Redistribution Hypothesis," SocArXiv suqnk, Center for Open Science.
    41. Damdinsuren, Erdenebulgan & Zaharieva, Anna, 2018. "Expectation Formation and Learning in the Labour Market with On-the-Job Search and Nash Bargaining," Center for Mathematical Economics Working Papers 604, Center for Mathematical Economics, Bielefeld University.
    42. Gallegati, M. & Palestrini, A., 2010. "The complex behavior of firms' size dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 75(1), pages 69-76, July.
    43. Blair Fix, 2019. "Energy, hierarchy and the origin of inequality," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-32, April.
    44. Blair Fix, 2017. "Energy and institution size," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-22, February.
    45. Andreas Hefti & Julia Lareida, 2021. "Competitive attention, Superstars and the Long Tail," ECON - Working Papers 383, Department of Economics - University of Zurich.
    46. Hernández-Pérez, R. & Angulo-Brown, F. & Tun, Dionisio, 2006. "Company size distribution for developing countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 359(C), pages 607-618.
    47. Lyócsa, Štefan & Výrost, Tomáš, 2018. "Scale-free distribution of firm-size distribution in emerging economies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 501-505.
    48. Bartolozzi, M. & Leinweber, D.B. & Thomas, A.W., 2006. "Symbiosis in the Bak–Sneppen model for biological evolution with economic applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 365(2), pages 499-508.
    49. Pierpaolo Andriani & Bill McKelvey, 2009. "Perspective ---From Gaussian to Paretian Thinking: Causes and Implications of Power Laws in Organizations," Organization Science, INFORMS, vol. 20(6), pages 1053-1071, December.
    50. Mauro Gallegati & Gianfranco Giulioni, 2003. "Complex Dynamics and Financial Fragility in an Agent Based Model," Computing in Economics and Finance 2003 86, Society for Computational Economics.
    51. Hernan Mondani & Petter Holme & Fredrik Liljeros, 2014. "Fat-Tailed Fluctuations in the Size of Organizations: The Role of Social Influence," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-9, July.
    52. Blair Fix, 2022. "Economic development and the death of the free market," Evolutionary and Institutional Economics Review, Springer, vol. 19(1), pages 1-46, April.
    53. Gatti, Domenico Delli & Di Guilmi, Corrado & Gallegati, Mauro & Giulioni, Gianfranco, 2007. "Financial Fragility, Industrial Dynamics, And Business Fluctuations In An Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 11(S1), pages 62-79, November.
    54. Guo, Jinzhong & Xu, Qi & Chen, Qinghua & Wang, Yougui, 2013. "Firm size distribution and mobility of the top 500 firms in China, the United States and the world," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(13), pages 2903-2914.
    55. Fix, Blair, 2019. "How the rich are different: Hierarchical power as the basis of income size and class," Working Papers on Capital as Power 2019/02 (v.2), Capital As Power - Toward a New Cosmology of Capitalism.
    56. Juan Manuel Torres Rojo & David B. Bray & Octavio S. Magaña, 2008. "The Role of Scale in Mexican Community Forest Management," Working papers DTE 451, CIDE, División de Economía.
    57. Corrado Di Guilmi & Mauro Gallegati & Edoardo Gaffeo, 2003. "Power Law Scaling in the World Income Distribution," Economics Bulletin, AccessEcon, vol. 15(6), pages 1-7.
    58. Domenico Delli Gatti & Mauro Gallegati & Bruce C. Greenwald & Alberto Russo & Joseph E. Stiglitz, 2008. "Financially Constrained Fluctuations in an Evolving Network Economy," NBER Working Papers 14112, National Bureau of Economic Research, Inc.
    59. D’Orazio, Paola & Valente, Marco, 2019. "The role of finance in environmental innovation diffusion: An evolutionary modeling approach," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 417-439.
    60. Wright, Ian, 2008. "Implicit Microfoundations for Macroeconomics," Economics Discussion Papers 2008-41, Kiel Institute for the World Economy (IfW Kiel).
    61. Giulia Rotundo & Anna D’Arcangelis, 2014. "Network of companies: an analysis of market concentration in the Italian stock market," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 1893-1910, July.
    62. Matteo Richiardi, 2006. "Toward a Non-Equilibrium Unemployment Theory," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 421-446, November.
    63. Atushi Ishikawa & Shouji Fujimoto & Takayuki Mizuno & Tsutomu Watanabe, 2017. "Dependence of the decay rate of firm activities on firm age," Evolutionary and Institutional Economics Review, Springer, vol. 14(2), pages 351-362, December.
    64. Fujimoto, Shouji & Ishikawa, Atushi & Mizuno, Takayuki & Watanabe, Tsutomu, 2011. "A new method for measuring tail exponents of firm size distributions," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 5, pages 1-20.
    65. Fix, Blair, 2018. "The growth of US top income inequality: A hierarchical redistribution hypothesis," Working Papers on Capital as Power 2018/05, Capital As Power - Toward a New Cosmology of Capitalism.
    66. Heinrich, Torsten & Dai, Shuanping, 2016. "Diversity of firm sizes, complexity, and industry structure in the Chinese economy," Structural Change and Economic Dynamics, Elsevier, vol. 37(C), pages 90-106.
    67. Wang, Yuanjun & You, Shibing, 2016. "An alternative method for modeling the size distribution of top wealth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 443-453.
    68. Bahrami, Mohammad & Chinichian, Narges & Hosseiny, Ali & Jafari, Gholamreza & Ausloos, Marcel, 2020. "Optimization of the post-crisis recovery plans in scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    69. Alex Coad, 2008. "The exponential age distribution and the Pareto firm size distribution," Jena Economics Research Papers 2008-072, Friedrich-Schiller-University Jena.
    70. David Vidal-Tomás & Alba Ruiz-Buforn & Omar Blanco-Arroyo & Simone Alfarano, 2022. "A Cross-Sectional Analysis of Growth and Profit Rate Distribution: The Spanish Case," Mathematics, MDPI, vol. 10(6), pages 1-20, March.
    71. Cortés, Lina M. & Mora-Valencia, Andrés & Perote, Javier, 2017. "Measuring firm size distribution with semi-nonparametric densities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 485(C), pages 35-47.
    72. Murat ATAN & Emre BOZDAĞ, 2011. "Avrupa Karbonatlı İçecekler Piyasasında Firma Büyüklüğü Ve Büyüklük Genişleme Oranı İlişkisi," Ekonomik Yaklasim, Ekonomik Yaklasim Association, vol. 22(80), pages 19-38.
    73. A. Saichev & Y. Malevergne & D. Sornette, 2008. "Theory of Zipf's Law and of General Power Law Distributions with Gibrat's law of Proportional Growth," Papers 0808.1828, arXiv.org.
    74. Fujimoto, S. & Ishikawa, A. & Mizuno, T. & Watanabe, T. & 渡辺, 努 & ワタナベ, ツトム, 2011. "A New Method for Measuring Tail Exponents of Firm Size Distributions," Working Paper Series 7, Center for Interfirm Network, Institute of Economic Research, Hitotsubashi University.
    75. Stefania VITALI & Gabriele TEDESCHI, 2011. "The impact of classes of innovators on Technology, Financial Fragility and Economic Growth," Working Papers 370, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    76. Sun, Churen & Zhang, Tao, 2012. "Export, Productivity Pattern, and Firm Size Distribution," MPRA Paper 36742, University Library of Munich, Germany.
    77. A. A. Blokhin & A. A. Likhachev, 2021. "Institutional Barriers for Fast Growing Companies," Studies on Russian Economic Development, Springer, vol. 32(4), pages 364-373, July.
    78. Fujimoto, Shouji & Ishikawa, Atushi & Mizuno, Takayuki & Watanabe, Tsutomu, 2011. "A new method for measuring tail exponents of firm size distributions," Economics Discussion Papers 2011-29, Kiel Institute for the World Economy (IfW Kiel).
    79. Ian Wright, 2004. "A conjecture on the distribution of firm profit," Papers cond-mat/0407687, arXiv.org, revised Mar 2011.
    80. Heinrich, Torsten, 2016. "The Narrow and the Broad Approach to Evolutionary Modeling in Economics," MPRA Paper 75797, University Library of Munich, Germany.
    81. Emanuele Ciola & Gabriele Tedeschi, 2021. "From interaction to business fluctuations: How credit network explain cycles," Working Papers 2021/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    82. Elsa de Morais Sarmento & Alcina Nunes, 2012. "The Dynamics of Employer Entreprise Creation in Portugal Over the Last Two Decades: A Firm Size, Regional and Sectoral Perspective," Notas Económicas, Faculty of Economics, University of Coimbra, issue 36, pages 6-22, December.
    83. Zhang, Qi, 2017. "The Balassa–Samuelson relationship: services, manufacturing and product quality," LSE Research Online Documents on Economics 68705, London School of Economics and Political Science, LSE Library.
    84. Hernández-Pérez, R., 2010. "An analogy of the size distribution of business firms with Bose–Einstein statistics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(18), pages 3837-3843.
    85. Thomas Brenner & Matthias Duschl, 2018. "Modeling Firm and Market Dynamics: A Flexible Model Reproducing Existing Stylized Facts on Firm Growth," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 745-772, October.
    86. Domenico Delli Gatti & Mauro Gallegati & Bruce Greenwald & Alberto Russo & Joseph Stiglitz, 2009. "Business fluctuations and bankruptcy avalanches in an evolving network economy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(2), pages 195-212, November.
    87. Palestrini, Antonio, 2007. "Analysis of industrial dynamics: A note on the relationship between firms' size and growth rate," Economics Letters, Elsevier, vol. 94(3), pages 367-371, March.
    88. Ji, Guseon & Dai, Bingcun & Park, Sung-Pil & Ahn, Kwangwon, 2020. "The origin of collective phenomena in firm sizes," Chaos, Solitons & Fractals, Elsevier, vol. 136(C).
    89. Fix, Blair, 2019. "How the Rich Are Different: Hierarchical Power as the Basis of Income Size and Class," SocArXiv t8muy, Center for Open Science.
    90. John Stachurski, 2019. "Firm Entry and Exit with Unbounded Productivity Growth," Papers 1910.14023, arXiv.org, revised Feb 2024.
    91. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    92. Zhang, Qi, 2017. "The Balassa–Samuelson relationship: Services, manufacturing and product quality," Journal of International Economics, Elsevier, vol. 106(C), pages 55-82.

  134. Stanca, Luca & Gallegati, Mauro, 1999. "The Dynamic Relation between Financial Positions and Investment: Evidence from Company Account Data," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 8(3), pages 551-572, September.

    Cited by:

    1. Daniel BELINGHER, 2015. "A PVAR MODEL BUILT ON THE RICARDIAN APPROACH TO DEFICITS IN CENTRAL AND EASTERN EUROPE Abstract : In the current times, the issue of the deficits became very problematic for the economists, as well as," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 4(Special I), pages 1-41, august.
    2. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    3. Gabriele Tedeschi & Amin Mazloumian & Mauro Gallegati & Dirk Helbing, 2012. "Bankruptcy Cascades in Interbank Markets," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-10, December.
    4. Tuomas A. Peltonen & Ricardo M. Sousa & Isabel S. Vansteenkiste, 2011. "Fundamentals, Financial Factors, and the Dynamics of Investment in Emerging Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(0), pages 88-105, May.
    5. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    6. Lips, Johannes, 2018. "Debt and the Oil Industry - Analysis on the Firm and Production Level," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181504, Verein für Socialpolitik / German Economic Association.
    7. Love, Inessa & Zicchino, Lea, 2002. "Financial development and dynamic investment behavior : evidence from panel vector autoregression," Policy Research Working Paper Series 2913, The World Bank.
    8. Domenico Delli Gatti, Mauro Gallegati, Gianfranco Giulioni, Antonio Palestrini, -DISCUSSANT: Thomas Brenner, 2000. "Financial Fragility, Patterns Of Firms' Entry And Exit And Aggregate Dynamics," Computing in Economics and Finance 2000 282, Society for Computational Economics.
    9. Mark Anderson & Soonchul Hyun & Hussein Warsame, 2024. "Corporate social responsibility, earnings management and firm performance: evidence from panel VAR estimation," Review of Quantitative Finance and Accounting, Springer, vol. 62(1), pages 341-364, January.
    10. Stefania VITALI & Gabriele TEDESCHI, 2011. "The impact of classes of innovators on Technology, Financial Fragility and Economic Growth," Working Papers 370, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    11. Alexander Coad, 2007. "Disentangling the firm growth process: evidence from a recursive panel VAR," Papers on Economics and Evolution 2007-15, Philipps University Marburg, Department of Geography.
    12. Love, Inessa & Zicchino, Lea, 2006. "Financial development and dynamic investment behavior: Evidence from panel VAR," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(2), pages 190-210, May.
    13. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).

  135. G.‐I. Bischi & M. Gallegati & A. Naimzada, 1999. "Symmetry‐breaking bifurcations and representativefirm in dynamic duopoly games," Annals of Operations Research, Springer, vol. 89(0), pages 252-271, January.

    Cited by:

    1. Gori, Luca & Sodini, Mauro, 2017. "Price competition in a nonlinear differentiated duopoly," Chaos, Solitons & Fractals, Elsevier, vol. 104(C), pages 557-567.
    2. Xie, Lei & Hou, Pengwen & Han, Hongshuai, 2021. "Implications of government subsidy on the vaccine product R&D when the buyer is risk averse," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    3. Agiza, H.N. & Elsadany, A.A., 2003. "Nonlinear dynamics in the Cournot duopoly game with heterogeneous players," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 320(C), pages 512-524.
    4. Askar, S.S. & Elettreby, M.F., 2017. "The impact of cost uncertainty on Cournot oligopoly games," Applied Mathematics and Computation, Elsevier, vol. 312(C), pages 169-176.
    5. Luciano Fanti & Luca Gori, 2011. "Stability analysis in a Bertrand duopoly with different product quality and heterogeneous expectations," Discussion Papers 2011/122, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    6. Cerboni Baiardi, Lorenzo & Naimzada, Ahmad K., 2019. "An oligopoly model with rational and imitation rules," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 156(C), pages 254-278.
    7. Bischi, Gian Italo & Kopel, Michael, 2001. "Equilibrium selection in a nonlinear duopoly game with adaptive expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 46(1), pages 73-100, September.
    8. Luciano Fanti & Luca Gori, 2011. "The dynamics of a Bertrand duopoly with differentiated products and bounded rational firms revisited," Discussion Papers 2011/120, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    9. Nora Grisáková & Peter Štetka, 2022. "Cournot’s Oligopoly Equilibrium under Different Expectations and Differentiated Production," Games, MDPI, vol. 13(6), pages 1-17, December.
    10. Zhang, Ming & Wang, Guanghui & Xu, Jin & Qu, Cunquan, 2020. "Dynamic contest model with bounded rationality," Applied Mathematics and Computation, Elsevier, vol. 370(C).
    11. Lei Xie & Hongshuai Han, 2020. "Capacity Sharing and Capacity Investment of Environment-Friendly Manufacturing: Strategy Selection and Performance Analysis," IJERPH, MDPI, vol. 17(16), pages 1-20, August.
    12. Cavalli, Fausto & Naimzada, Ahmad & Pireddu, Marina, 2015. "Heterogeneity and the (de)stabilizing role of rationality," Chaos, Solitons & Fractals, Elsevier, vol. 79(C), pages 226-244.
    13. Sameh S Askar & Abdulrahman Al-Khedhairi, 2020. "Local and Global Dynamics of a Constraint Profit Maximization for Bischi–Naimzada Competition Duopoly Game," Mathematics, MDPI, vol. 8(9), pages 1-16, August.
    14. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    15. Andrea Caravaggio & Lorenzo Cerboni Baiardi & Mauro Sodini, 2021. "A note on symmetry breaking in a non linear marketing model," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 507-531, December.
    16. Tomasz Dubiel-Teleszyński, 2010. "Complex Dynamics in a Bertrand Duopoly Game with Heterogeneous Players," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 2(2), pages 95-116, March.
    17. Agliari, A. & Naimzada, A.K. & Pecora, N., 2016. "Nonlinear dynamics of a Cournot duopoly game with differentiated products," Applied Mathematics and Computation, Elsevier, vol. 281(C), pages 1-15.
    18. Naimzada, A.K. & Raimondo, Roberto, 2018. "Heterogeneity and chaos in congestion games," Applied Mathematics and Computation, Elsevier, vol. 335(C), pages 278-291.
    19. Fanti, Luciano & Gori, Luca & Sodini, Mauro, 2012. "Nonlinear dynamics in a Cournot duopoly with relative profit delegation," MPRA Paper 37834, University Library of Munich, Germany.
    20. Askar, S.S., 2014. "The impact of cost uncertainty on Cournot oligopoly game with concave demand function," Applied Mathematics and Computation, Elsevier, vol. 232(C), pages 144-149.
    21. Naimzada, Ahmad Kabir & Raimondo, Roberto, 2018. "Chaotic congestion games," Applied Mathematics and Computation, Elsevier, vol. 321(C), pages 333-348.
    22. Andrea Caravaggio & Luca Gori & Mauro Sodini, 2022. "Monopolistic Dynamics with Endogenous Product Differentiation," Mathematics, MDPI, vol. 10(3), pages 1-15, January.
    23. Andrea Caravaggio & Mauro Sodini, 2018. "Heterogeneous players in a Cournot model with differentiated products," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 41(2), pages 277-295, November.
    24. Antoci, Angelo & Naimzada, Ahmad & Sodini, Mauro, 2009. "Strategic interactions and heterogeneity in a overlapping generations model with negative environmental externalities," MPRA Paper 18221, University Library of Munich, Germany.
    25. Ahmad Naimzada & Marina Pireddu, 2021. "Differentiated goods in a dynamic Cournot duopoly with emission charges on outputs," Working Papers 471, University of Milano-Bicocca, Department of Economics.
    26. Chen, Huayi & Zhou, P., 2019. "Modeling systematic technology adoption: Can one calibrated representative agent represent heterogeneous agents?," Omega, Elsevier, vol. 89(C), pages 257-270.
    27. Antonio Doria, Francisco, 2011. "J.B. Rosser Jr. , Handbook of Research on Complexity, Edward Elgar, Cheltenham, UK--Northampton, MA, USA (2009) 436 + viii pp., index, ISBN 978 1 84542 089 5 (cased)," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 196-204, April.
    28. Lorenzo, Cerboni Baiardi & Ahmad, Naimzada, 2019. "An evolutionary Cournot oligopoly model with imitators and perfect foresight best responders," Working Papers 407, University of Milano-Bicocca, Department of Economics, revised May 2019.
    29. Bacchiocchi, Andrea & Bischi, Gian Italo & Giombini, Germana, 2022. "Non-performing loans, expectations and banking stability: A dynamic model," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    30. Fanti, Luciano & Gori, Luca & Sodini, Mauro, 2015. "Nonlinear dynamics in a Cournot duopoly with isoelastic demand," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 108(C), pages 129-143.
    31. Cerboni Baiardi, Lorenzo & Naimzada, Ahmad K., 2018. "An oligopoly model with best response and imitation rules," Applied Mathematics and Computation, Elsevier, vol. 336(C), pages 193-205.
    32. Lorenzo Cerboni Baiardi & Ahmad K. Naimzada, 2018. "An evolutionary model with best response and imitative rules," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 41(2), pages 313-333, November.
    33. Mikhail Anufriev & Davide Radi & Fabio Tramontana, 2018. "Some reflections on past and future of nonlinear dynamics in economics and finance," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 41(2), pages 91-118, November.

  136. Delli Gatti Domenico & Gallegati Mauro & Mignacca Domenico, 1998. "Nonlinear Dynamics and European GNP Data," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 3(1), pages 1-19, April.

    Cited by:

    1. Donauer, Stefanie & Heinen, Florian & Sibbertsen, Philipp, 2010. "Identification problems in ESTAR models and a new model," Hannover Economic Papers (HEP) dp-444, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

  137. Delli Gatti, Domenico & Gallegati, Mauro, 1997. "Financial Constraints, Aggregate Supply, and the Monetary Transmission Mechanism," The Manchester School of Economic & Social Studies, University of Manchester, vol. 65(2), pages 101-126, March.

    Cited by:

    1. Yulia Vymyatnina, 2013. "Money Supply and Monetary Policy in Russia: A Post-Keynesian Approach Revisited," EUSP Department of Economics Working Paper Series 2013/04, European University at St. Petersburg, Department of Economics.
    2. Roberto Tamborini & Riccardo Fiorentini, 2001. "The monetary transmission mechanism in Italy: the credit channel and a missing ring," Department of Economics Working Papers 0101, Department of Economics, University of Trento, Italia.

  138. Domenico Delli Gatti & Mauro Gallegati, 1997. "At the Root of the Financial Instability Hypothesis: “Induced Investment and Business Cycles”," Journal of Economic Issues, Taylor & Francis Journals, vol. 31(2), pages 527-534, June.

    Cited by:

    1. Ítalo Pedrosa & Dany Lang, 2018. "Heterogeneity, distribution and financial fragility of non-financial firms: an agent-based stock-flow consistent (AB-SFC) model," CEPN Working Papers hal-01937186, HAL.
    2. Tae-Hee Jo, 2011. "A Heterodox Microfoundation of Business Cycles," Chapters, in: Joëlle Leclaire & Tae-Hee Jo & Jane Knodell (ed.), Heterodox Analysis of Financial Crisis and Reform, chapter 9, Edward Elgar Publishing.
    3. Passarella, Marco, 2011. "From the village fair to Wall Street. The Italian reception of Minsky’s economic thought," MPRA Paper 49593, University Library of Munich, Germany.
    4. Ítalo Pedrosa & Dany Lang, 2021. "To what extent does aggregate leverage determine financial fragility? New insights from an agent-based stock-flow consistent model," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1221-1275, September.

  139. Delli Gatti, Domenico & Gallegati, Mauro, 1996. "Financial Market Imperfections and Irregular Growth Cycles," Scottish Journal of Political Economy, Scottish Economic Society, vol. 43(2), pages 146-158, May.

    Cited by:

    1. Gallegati, Mauro & Kirman, Alan, 2019. "20 years of WEHIA: A journey in search of a safer road," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 5-14.
    2. Domenico Delli Gatti & Edoardo Gaffeo & Mauro Gallegati, 2008. "A look at the relationship between industrial dynamics and aggregate fluctuations," Department of Economics Working Papers 0803, Department of Economics, University of Trento, Italia.
    3. Ben Fine, 1998. "Endogenous Growth Theory: A Critical Assessment," Working Papers 80, Department of Economics, SOAS University of London, UK.
    4. Holly, Sean & Turner, Paul, 2001. "Inventory investment and asymmetric adjustment: Some evidence for the UK," International Journal of Production Economics, Elsevier, vol. 72(3), pages 251-260, August.
    5. J. Barkley Rosser Jr & Richard P.F. Holt & David Colander, 2010. "European Economics at a Crossroads," Books, Edward Elgar Publishing, number 13585.
    6. Barbara Dluhosch, 2011. "European Economics at a Crossroads, by J. Barkley Rosser, Jr., Richard P. F. Holt, and David Colander," Journal of Regional Science, Wiley Blackwell, vol. 51(3), pages 629-631, August.

  140. Mauro Gallegati & Domenico Mignacca, 1995. "Nonlinearities in business cycle: SETAR models and G7 industrial production data," Applied Economics Letters, Taylor & Francis Journals, vol. 2(11), pages 422-427.

    Cited by:

    1. Gallegati, Mauro & Kirman, Alan, 2019. "20 years of WEHIA: A journey in search of a safer road," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 5-14.
    2. Hui Feng, 2005. "Real-Time or Current Vintage: Does the Type of Data Matter for Forecasting and Model Selection?," Econometrics Working Papers 0515, Department of Economics, University of Victoria.
    3. Hui Feng & Jia Liu, 2002. "A SETAR Model for Canadian GDP: Non-Linearities and Forecast Comparisons," Econometrics Working Papers 0206, Department of Economics, University of Victoria.

  141. Gallegati, Mauro, 1994. "Composition effect and economic fluctuations," Economics Letters, Elsevier, vol. 44(1-2), pages 123-126.

    Cited by:

    1. Gallegati, Mauro & Kirman, Alan, 2019. "20 years of WEHIA: A journey in search of a safer road," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 5-14.
    2. Simone Landini & Mauro Gallegati, 2014. "Heterogeneity, interaction and emergence: effects of composition," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 4(3/4), pages 339-361.
    3. Jovanovic, Franck & Schinckus, Christophe, 2017. "Econophysics and Financial Economics: An Emerging Dialogue," OUP Catalogue, Oxford University Press, number 9780190205034, Decembrie.

  142. Gatti, D. Delli & Gallegati, M. & Gardini, L., 1993. "Investment confidence, corporate debt and income fluctuations," Journal of Economic Behavior & Organization, Elsevier, vol. 22(2), pages 161-187, October.

    Cited by:

    1. Domenico Delli Gatti & Mauro Gallegati & Hyman P. Minsky, 1999. "Financial Institutions, Economic Policy, and the Dynamic Behavior of the Economy," Macroeconomics 9903009, University Library of Munich, Germany.
    2. Gallegati, Mauro & Kirman, Alan, 2019. "20 years of WEHIA: A journey in search of a safer road," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 5-14.
    3. Eleonora Cavallaro & Bernardo Maggi, 2016. "State of confidence, overborrowing and the macroeconomic stabilization puzzle: a system dynamic approach," Working Papers in Public Economics 174, University of Rome La Sapienza, Department of Economics and Law.
    4. Richard Arena & Alain Raybaut, 1995. "Cycles et croissance : une approche néo-kaldorienne," Revue Économique, Programme National Persée, vol. 46(6), pages 1433-1444.
    5. Di Guilmi, Corrado & Carvalho, Laura, 2017. "The dynamics of leverage in a demand-driven model with heterogeneous firms," Journal of Economic Behavior & Organization, Elsevier, vol. 140(C), pages 70-90.
    6. Bischi, Gian Italo & Kopel, Michael, 2001. "Equilibrium selection in a nonlinear duopoly game with adaptive expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 46(1), pages 73-100, September.
    7. Eleonora Cavallaro & Marcella Mulino, 2004. "External Debt in Emerging Economies: A Macrodynamical Model of Financial Fragility," STUDI ECONOMICI, FrancoAngeli Editore, vol. 2004(84).
    8. Corrado Di Guilmi & Laura Carvalho, 2015. "The dynamics of leverage in a Minskyan model with heterogenous firms," Working Paper Series 28, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    9. Alessia Cafferata & Marwil J. Dávila-Fernández & Serena Sordi, 2021. "(Ir)rational explorers in the financial jungle," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1157-1188, September.
    10. Asensio, Angel & Charles, Sébastien & Lang, Dany & Le Heron, Edwin, 2011. "Les développements récents de la macroéconomie post-keynésienne," Revue de la Régulation - Capitalisme, institutions, pouvoirs, Association Recherche et Régulation, vol. 10.
    11. Sébastien Charles, 2010. "Explaining persistent cycles in a short-run context: firms' propensity to invest and omnipotent shareholders," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 32(3), pages 409-426, April.
    12. Gross, Marco, 2022. "Beautiful cycles: A theory and a model implying a curious role for interest," Economic Modelling, Elsevier, vol. 106(C).
    13. Sébastien Charles, 2008. "Teaching Minsky's financial instability hypothesis: a manageable suggestion," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 31(1), pages 125-138, September.
    14. Bischi, Gian Italo & Gardini, Laura & Kopel, Michael, 2000. "Analysis of global bifurcations in a market share attraction model," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 855-879, June.
    15. Franke, Reiner, 1995. "Investment confidence, corporate debt and income fluctuations: A need for reformulation," Journal of Economic Behavior & Organization, Elsevier, vol. 27(2), pages 321-324, July.
    16. Chiarella Carl & Di Guilmi Corrado & Zhi Tianhao, 2020. "“Animal spirits” and bank’s lending behaviour, a disequilibrium approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-21, April.
    17. J. Barkley Rosser Jr & Richard P.F. Holt & David Colander, 2010. "European Economics at a Crossroads," Books, Edward Elgar Publishing, number 13585.
    18. Angel Asensio & Sébastien Charles & Edwin Le Héron & Dany Lang, 2011. "Recent developments in Post-Keynesian modeling [Los desarrollos recientes de la macroeconomía post-keynesiana]," Post-Print halshs-00664867, HAL.
    19. Passarella, Marco, 2011. "From the village fair to Wall Street. The Italian reception of Minsky’s economic thought," MPRA Paper 49593, University Library of Munich, Germany.
    20. Fazzari, Steven & Ferri, Piero & Greenberg, Edward, 2008. "Cash flow, investment, and Keynes-Minsky cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 65(3-4), pages 555-572, March.
    21. Alessia Cafferata & Marwil J. Dávila-Fernández & Serena Sordi, 2020. "(Ir)rational explorers in the financial jungle: modelling Minsky with heterogeneous agents," Department of Economics University of Siena 819, Department of Economics, University of Siena.
    22. Barbara Dluhosch, 2011. "European Economics at a Crossroads, by J. Barkley Rosser, Jr., Richard P. F. Holt, and David Colander," Journal of Regional Science, Wiley Blackwell, vol. 51(3), pages 629-631, August.
    23. Laura Gardini, 1993. "Insiemi invarianti globalmente attrattivi nell'interazione fra il “mercato dei beni” ed il “mercato della moneta”," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 16(1), pages 41-71, March.
    24. Tianhao Zhi, 2016. "Animal Spirits and Financial Instability - A Disequilibrium Macroeconomic Perspective," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2016.

  143. Marco Dardi & Mauro Gallegati, 1992. "Alfred Marshall on Speculation," History of Political Economy, Duke University Press, vol. 24(3), pages 571-594, Fall.

    Cited by:

    1. Rog?rio Arthmar & Michael Emmett Brady, 2018. "Boole, Ramsey and the Keynes-Townshend exchanges on subjective probability," HISTORY OF ECONOMIC THOUGHT AND POLICY, FrancoAngeli Editore, vol. 2018(2), pages 55-74.
    2. Hanin, Frédéric, 2003. "La place du Treatise on Money dans l’oeuvre de Keynes : une théorie de l’instabilité," L'Actualité Economique, Société Canadienne de Science Economique, vol. 79(1), pages 71-86, Mars-Juin.
    3. Jovanovic, Franck & Schinckus, Christophe, 2017. "Econophysics and Financial Economics: An Emerging Dialogue," OUP Catalogue, Oxford University Press, number 9780190205034, Decembrie.
    4. J. Barkley Rosser Jr & Richard P.F. Holt & David Colander, 2010. "European Economics at a Crossroads," Books, Edward Elgar Publishing, number 13585.
    5. Barbara Dluhosch, 2011. "European Economics at a Crossroads, by J. Barkley Rosser, Jr., Richard P. F. Holt, and David Colander," Journal of Regional Science, Wiley Blackwell, vol. 51(3), pages 629-631, August.
    6. Marcuzzo, Maria Cristina, 2012. "Speculation and regulation in commodity markets: The Keynesian approach in theory and practice," MPRA Paper 44131, University Library of Munich, Germany.

  144. Domenico Delli Gatti & Mauro Gallegati, 1990. "Financial Instability, Income Distribution, and the Stock Market," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 12(3), pages 356-374, March.

    Cited by:

    1. Domenico Delli Gatti & Mauro Gallegati & Hyman P. Minsky, 1999. "Financial Institutions, Economic Policy, and the Dynamic Behavior of the Economy," Macroeconomics 9903009, University Library of Munich, Germany.
    2. Gallegati, Mauro & Kirman, Alan, 2019. "20 years of WEHIA: A journey in search of a safer road," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 5-14.
    3. Gilberto Tadeu Lima & Antonio J. A. Meirelles, 2007. "Macrodynamics of debt regimes, financial instability and growth," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 31(4), pages 563-580, July.
    4. Nikolaidi, Maria & Stockhammer, Engelbert, 2017. "Minsky models: a structured survey," Greenwich Papers in Political Economy 17739, University of Greenwich, Greenwich Political Economy Research Centre.
    5. Sánchez, Julián, 2004. "The Basic Dynamics of the Stock of Money and Capital," Working Papers in Economic Theory 2004/01, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).
    6. Toshio Watanabe, 2013. "Net Worth Ratio and Financial Instability," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 2(1), pages 1-18, December.
    7. Hiroaki Sasaki & Shinya Fujita, 2014. "Pro-shareholder income distribution, debt accumulation, and cyclical fluctuations in a post-Keynesian model with labor supply constraints," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 11(1), pages 10-30, April.
    8. Nikolaidi, Maria, 2017. "Three decades of modelling Minsky: what we have learned and the way forward," Greenwich Papers in Political Economy 17509, University of Greenwich, Greenwich Political Economy Research Centre.
    9. Peter Skott, 2011. "Heterodox macro after the crisis," UMASS Amherst Economics Working Papers 2011-23, University of Massachusetts Amherst, Department of Economics.
    10. Leila E Davis & Joao Paulo A de Souza & Gonzalo Hernandez, 2019. "An empirical analysis of Minsky regimes in the US economy," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 43(3), pages 541-583.
    11. Engelbert Stockhammer & Giorgos Gouzoulis, 2023. "Debt-GDP cycles in historical perspective: the case of the USA (1889–2014)," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(2), pages 317-335.
    12. Reissl, Severin, 2020. "Minsky from the bottom up – Formalising the two-price model of investment in a simple agent-based framework," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 109-142.
    13. Antonio Meirelles & Gilberto Lima, 2006. "Debt, financial fragility, and economic growth: a Post Keynesian macromodel," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 29(1), pages 93-115.
    14. Gräbner, Claudius & Heimberger, Philipp & Kapeller, Jakob & Landesmann, Michael & Schütz, Bernhard, 2021. "The evolution of debtor-creditor relationships within a monetary union: Trade imbalances, excess reserves and economic policy," ifso working paper series 10, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    15. Hideyuki Adachi & Atsushi Miyake, 2015. "A Macrodynamic Analysis of Financial Instability," World Scientific Book Chapters, in: Hideyuki Adachi & Tamotsu Nakamura & Yasuyuki Osumi (ed.), Studies in Medium-Run Macroeconomics Growth, Fluctuations, Unemployment, Inequality and Policies, chapter 5, pages 117-146, World Scientific Publishing Co. Pte. Ltd..
    16. Jovanovic, Franck & Schinckus, Christophe, 2017. "Econophysics and Financial Economics: An Emerging Dialogue," OUP Catalogue, Oxford University Press, number 9780190205034, Decembrie.
    17. Passarella, Marco, 2011. "From the village fair to Wall Street. The Italian reception of Minsky’s economic thought," MPRA Paper 49593, University Library of Munich, Germany.
    18. Ítalo Pedrosa & Dany Lang, 2021. "To what extent does aggregate leverage determine financial fragility? New insights from an agent-based stock-flow consistent model," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1221-1275, September.
    19. Soon Ryoo, 2013. "Minsky cycles in Keynesian models of growth and distribution," Review of Keynesian Economics, Edward Elgar Publishing, vol. 1(1), pages 37-60, January.

Chapters

  1. Marco Gallegati & Mauro Gallegati & James B. Ramsey & Willi Semmler, 2014. "Does Productivity Affect Unemployment? A Time-Frequency Analysis for the US," Dynamic Modeling and Econometrics in Economics and Finance, in: Marco Gallegati & Willi Semmler (ed.), Wavelet Applications in Economics and Finance, edition 127, pages 23-46, Springer.

    Cited by:

    1. Valentina Diana Rusu & Adina Dornean, 2019. "The Quality of Entrepreneurial Activity and Economic Competitiveness in European Union Countries: A Panel Data Approach," Administrative Sciences, MDPI, vol. 9(2), pages 1-21, April.
    2. Abid, Fathi & Kaffel, Bilel, 2018. "Time–frequency wavelet analysis of the interrelationship between the global macro assets and the fear indexes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1028-1045.
    3. Hegelund, Erik & Taalbi, Josef, 2023. "What determines unemployment in the long run? Band spectrum regression on ten countries 1913–2016," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 144-167.
    4. Patrick M. Crowley & David Hudgins, 2021. "Okun’s law revisited in the time–frequency domain: introducing unemployment into a wavelet-based control model," Empirical Economics, Springer, vol. 61(5), pages 2635-2662, November.
    5. Bera, Anil Kumar & Uyar, Umut & Kangalli Uyar, Sinem Guler, 2020. "Analysis of the five-factor asset pricing model with wavelet multiscaling approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 414-423.
    6. Mutascu, Mihai, 2021. "Artificial intelligence and unemployment: New insights," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 653-667.
    7. Mark Partridge & Alexandra Tsvetkova & Michael Betz, 2021. "Are the most productive regions necessarily the most successful? Local effects of productivity growth on employment and earnings," Journal of Regional Science, Wiley Blackwell, vol. 61(1), pages 30-61, January.
    8. Fousekis, Panos & Grigoriadis, Vasilis, 2016. "Spatial price dependence by time scale: Empirical evidence from the international butter markets," Economic Modelling, Elsevier, vol. 54(C), pages 195-204.
    9. Samuel Ajayi-Obe, 2020. "Key Determinants of Job Creation: A Comparative analysis between OECD Countries and Emerging Economies," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 4, pages 619-647, December.
    10. Antonis A. Michis, 2021. "Wavelet Multidimensional Scaling Analysis of European Economic Sentiment Indicators," Journal of Classification, Springer;The Classification Society, vol. 38(3), pages 443-480, October.
    11. María del Carmen Valls Martínez & Pedro Antonio Martín Cervantes, 2021. "Testing the Resilience of CSR Stocks during the COVID-19 Crisis: A Transcontinental Analysis," Mathematics, MDPI, vol. 9(5), pages 1-24, March.
    12. Fernando Vadillo, 2016. "On the Historical Exchange Rates Euro/US Dollar," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 463-472, October.
    13. Disli, Mustafa & Nagayev, Ruslan & Salim, Kinan & Rizkiah, Siti K. & Aysan, Ahmet F., 2021. "In search of safe haven assets during COVID-19 pandemic: An empirical analysis of different investor types," Research in International Business and Finance, Elsevier, vol. 58(C).
    14. Md Hakim Ali & Md Akther Uddin & Md. Atiqur Rahman Khan & Blake Goud, 2021. "Faith‐based versus value‐based finance: Is there any portfolio diversification benefit between responsible and Islamic finance?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5570-5583, October.

  2. Domenico Gatti & Mauro Gallegati & Bruce C. Greenwald & Alberto Russo & Joseph E. Stiglitz, 2012. "Sectoral Imbalances and Long-run Crises," International Economic Association Series, in: Franklin Allen & Masahiko Aoki & Jean-Paul Fitoussi & Nobuhiro Kiyotaki & Roger Gordon & Joseph E. S (ed.), The Global Macro Economy and Finance, chapter 4, pages 61-97, Palgrave Macmillan.

    Cited by:

    1. Li, Xi Hao & Gallegati, Mauro, 2015. "Sectoral Imbalance in Two-Sector Economy with Mobility Constraint and Firm Migration," MPRA Paper 66002, University Library of Munich, Germany.
    2. Joseph E. Stiglitz, 2016. "The Theory of Credit and Macro-economic Stability," NBER Working Papers 22837, National Bureau of Economic Research, Inc.
    3. Stiglitz, Joseph E., 2015. "Leaders and followers: Perspectives on the Nordic model and the economics of innovation," Journal of Public Economics, Elsevier, vol. 127(C), pages 3-16.
    4. Aoki, Masahiko, 2012. "Historical Sources of Institutional Trajectories in Economic Development: China, Japan, and Korea Compared," ADBI Working Papers 397, Asian Development Bank Institute.
    5. Collin Constantine, 2017. "Economic structures, institutions and economic performance," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 6(1), pages 1-18, December.
    6. Stiglitz Joseph E., 2018. "Working Paper 301 - Structural Transformation, Deep Downturns, and Government Policy," Working Paper Series 2401, African Development Bank.
    7. Martin Guzman & Joseph E Stiglitz, 2020. "Towards a dynamic disequilibrium theory with randomness," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(3), pages 621-674.
    8. Stiglitz, J.E., 2016. "An agenda for sustainable and inclusive growth for emerging markets," Journal of Policy Modeling, Elsevier, vol. 38(4), pages 693-710.
    9. Masahiko Aoki, 2013. "Comparative Institutional Analysis," Books, Edward Elgar Publishing, number 15474.

  3. Corrado Di Guilmi & Mauro Gallegati & Simone Landini, 2010. "Financial Fragility, Mean-field Interaction and Macroeconomic Dynamics: A Stochastic Model," Chapters, in: Neri Salvadori (ed.), Institutional and Social Dynamics of Growth and Distribution, chapter 13, Edward Elgar Publishing.

    Cited by:

    1. Di Guilmi, C. & Gallegati, M. & Landini, S. & Stiglitz, J.E., 2020. "An analytical solution for network models with heterogeneous and interacting agents," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 189-220.

  4. Tiziana Assenza & Domenico Delli Gatti & Mauro Gallegati, 2010. "Financial Instability and Agents’ Heterogenity: A Post Minskyan Research Agenda," Chapters, in: Dimitri B. Papadimitriou & L. Randall Wray (ed.), The Elgar Companion to Hyman Minsky, chapter 10, Edward Elgar Publishing.

    Cited by:

    1. Van den Hauwe, Ludwig, 2014. "Understanding Financial Instability: Minsky Versus the Austrians," MPRA Paper 61838, University Library of Munich, Germany.
    2. Vymyatnina, Yulia V. (Вымятнина, Юлия В.) & Grishchenko, Vadim O. (Грищенко, Вадим О.) & Ostapenko, Vsevolod M. (Остапенко, Всеволод М.) & Ryazanov, Viktor T. (Рязанов, Виктор Т.), 2018. "Financial Instability and Economic Crises: Lessons from Minsky [Финансовая Нестабильность И Экономические Кризисы: Уроки Мински]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 4, pages 20-41, August.
    3. Passarella, Marco, 2011. "From the village fair to Wall Street. The Italian reception of Minsky’s economic thought," MPRA Paper 49593, University Library of Munich, Germany.

  5. Domenico Delli Gatti & Edoardo Gaffeo & Mauro Gallegati & Gianfranco Giulioni & Alan Kirman & Antonio Palestrini & Alberto Russo, 2006. "Complex Dynamics, Financial Fragility and Stylized Facts," Lecture Notes in Economics and Mathematical Systems, in: M. Beckmann & H. P. Künzi & G. Fandel & W. Trockel & A. Basile & A. Drexl & H. Dawid & K. Inderfurth (ed.), Artificial Economics, pages 127-135, Springer.

    Cited by:

    1. Simone Landini & Mariacristina Uberti, 2008. "A Statistical Mechanic View of Macro-dynamics in Economics," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 121-146, September.

  6. Alberto Russo & Domenico Delli Gatti & Mauro Gallegati, 2006. "Technological innovation, financial fragility and complex dynamics," Chapters, in: Neri Salvadori (ed.), Economic Growth and Distribution, chapter 13, pages 311-330, Edward Elgar Publishing.
    See citations under working paper version above.
  7. Domenico Delli Gatti & Corrado Di Guilmi & Edoardo Gaffeo & Gianfranco Giulioni & Mauro Gallegati & Antonio Palestrini, 2004. "Business Cycle Fluctuations And Firms’ Size Distribution Dynamics," World Scientific Book Chapters, in: Roberto Leombruni & Matteo Richiardi (ed.), Industry And Labor Dynamics The Agent-Based Computational Economics Approach, chapter 10, pages 199-221, World Scientific Publishing Co. Pte. Ltd..
    See citations under working paper version above.

Books

  1. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046.

    Cited by:

    1. Chen, Siyan & Desiderio, Saul, 2019. "Job duration and inequality," Economics Discussion Papers 2019-44, Kiel Institute for the World Economy (IfW Kiel).
    2. Cathal O'Donoghue & Gijs Dekkers, 2018. "Increasing the Impact of Dynamic Microsimulation Modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 61-96.
    3. Damdinsuren, Erdenebulgan & Zaharieva, Anna, 2018. "Expectation Formation and Learning in the Labour Market with On-the-Job Search and Nash Bargaining," Center for Mathematical Economics Working Papers 604, Center for Mathematical Economics, Bielefeld University.
    4. Sebastiaan Tieleman, 2022. "Towards a Validation Methodology for Macroeconomic Agent-Based Models," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1507-1527, December.
    5. Filippo Gusella & Anna Maria Variato, 2021. "Financial Instability and Income Inequality: why the connection Minsky-Piketty matters for Macroeconomics," Working Papers - Economics wp2021_15.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    6. Michael Paul Kramer & Linda Bitsch & Jon Hanf, 2021. "Blockchain and Its Impacts on Agri-Food Supply Chain Network Management," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    7. Siyan Chen & Saul Desiderio, 2022. "A Regression-Based Calibration Method for Agent-Based Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 687-700, February.
    8. Adão, Luiz F.S. & Silveira, Douglas & Ely, Regis A. & Cajueiro, Daniel O., 2022. "The impacts of interest rates on banks’ loan portfolio risk-taking," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    9. Noemi Schmitt & Ivonne Schwartz & Frank Westerhoff, 2022. "Heterogeneous speculators and stock market dynamics: a simple agent-based computational model," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1263-1282, October.
    10. Terranova, Roberta & Turco, Enrico M., 2022. "Concentration, stagnation and inequality: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 569-595.
    11. Riccardo Pariboni & Pasquale Tridico, 2020. "Structural change, institutions and the dynamics of labor productivity in Europe," Journal of Evolutionary Economics, Springer, vol. 30(5), pages 1275-1300, November.

  2. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108414999.

    Cited by:

    1. Chen, Siyan & Desiderio, Saul, 2019. "Job duration and inequality," Economics Discussion Papers 2019-44, Kiel Institute for the World Economy (IfW Kiel).
    2. Zaharieva, Anna & Neugart, Michael, 2020. "Social Networks, Promotions, and the Glass-Ceiling Effect," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224534, Verein für Socialpolitik / German Economic Association.
    3. Cathal O'Donoghue & Gijs Dekkers, 2018. "Increasing the Impact of Dynamic Microsimulation Modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 61-96.
    4. Damdinsuren, Erdenebulgan & Zaharieva, Anna, 2018. "Expectation Formation and Learning in the Labour Market with On-the-Job Search and Nash Bargaining," Center for Mathematical Economics Working Papers 604, Center for Mathematical Economics, Bielefeld University.
    5. Caner Ates & Dietmar Maringer, 2021. "A Parsimonious Macroeconomic ABM for Labor Market Regulations," LEM Papers Series 2021/46, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Rolf Aaberge & Ugo Colombino, 2018. "Structural Labour Supply Models and Microsimulation," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 162-197.
    7. Filippo Gusella & Anna Maria Variato, 2021. "Financial Instability and Income Inequality: why the connection Minsky-Piketty matters for Macroeconomics," Working Papers - Economics wp2021_15.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    8. Michael Paul Kramer & Linda Bitsch & Jon Hanf, 2021. "Blockchain and Its Impacts on Agri-Food Supply Chain Network Management," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    9. Siyan Chen & Saul Desiderio, 2022. "A Regression-Based Calibration Method for Agent-Based Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 687-700, February.
    10. Noemi Schmitt & Ivonne Schwartz & Frank Westerhoff, 2022. "Heterogeneous speculators and stock market dynamics: a simple agent-based computational model," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1263-1282, October.
    11. Terranova, Roberta & Turco, Enrico M., 2022. "Concentration, stagnation and inequality: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 569-595.
    12. Riccardo Pariboni & Pasquale Tridico, 2020. "Structural change, institutions and the dynamics of labor productivity in Europe," Journal of Evolutionary Economics, Springer, vol. 30(5), pages 1275-1300, November.

  3. Guilmi,Corrado Di & Gallegati,Mauro & Landini,Simone, 2017. "Interactive Macroeconomics," Cambridge Books, Cambridge University Press, number 9781107198944.

    Cited by:

    1. Gallegati, Mauro & Kirman, Alan, 2019. "20 years of WEHIA: A journey in search of a safer road," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 5-14.
    2. Isabel Almudi & Francisco Fatas-Villafranca & Jesus Palacio & Julio Sanchez-Choliz, 2020. "Pricing routines and industrial dynamics," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 705-739, July.
    3. Isabel Almudi & Francisco Fatas-Villafranca & Luis R. Izquierdo & Jason Potts, 2017. "The economics of utopia: a co-evolutionary model of ideas, citizenship and socio-political change," Journal of Evolutionary Economics, Springer, vol. 27(4), pages 629-662, September.

  4. Mauro Gallegati & Alan Kirman (ed.), 1999. "Beyond the Representative Agent," Books, Edward Elgar Publishing, number 1375.

    Cited by:

    1. Sandro Sapio, 2004. "Market Design, Bidding Rules, and Long Memory in Electricity Prices," LEM Papers Series 2004/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Gallegati, Mauro & Kirman, Alan, 2019. "20 years of WEHIA: A journey in search of a safer road," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 5-14.
    3. Tamotsu Onozaki, 2018. "Nonlinearity, Bounded Rationality, and Heterogeneity," Springer Books, Springer, number 978-4-431-54971-0, June.
    4. Russo, Alberto & Catalano, Michele & Gaffeo, Edoardo & Gallegati, Mauro & Napoletano, Mauro, 2007. "Industrial dynamics, fiscal policy and R&D: Evidence from a computational experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 64(3-4), pages 426-447.
    5. Domenico Delli Gatti & Edoardo Gaffeo & Mauro Gallegati, 2008. "A look at the relationship between industrial dynamics and aggregate fluctuations," Department of Economics Working Papers 0803, Department of Economics, University of Trento, Italia.
    6. Matteo Richiardi, 2003. "The Promises and Perils of Agent-Based Computational Economics," LABORatorio R. Revelli Working Papers Series 29, LABORatorio R. Revelli, Centre for Employment Studies.
    7. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2012. "An Agent Based Decentralized Matching Macroeconomic Model," MPRA Paper 42211, University Library of Munich, Germany.
    8. Cherry, Josh & Salant, Stephen & Uler, Neslihan, 2013. "Experimental Departures from Self-Interest when Competing Partnerships Share Output," RFF Working Paper Series dp-13-07, Resources for the Future.
    9. Carl Chiarella & Corrado Di Guilmi, 2013. "Monetary Policy and Debt Deflation: Some Computational Experiments," CAMA Working Papers 2013-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    10. Alan Kirman & Sonia Moulet & Rainer Schulz, 2008. "Price Discrimination and Customer Behaviour: Empirical Evidence from Marseille," Working Papers halshs-00349036, HAL.
    11. Patrascu Diana – Ramona, 2013. "The Representative Economic Agent – An Epistemological Approach," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 2, pages 42-46, April.
    12. Hommes, C.H., 2005. "Heterogeneous Agent Models in Economics and Finance, In: Handbook of Computational Economics II: Agent-Based Computational Economics, edited by Leigh Tesfatsion and Ken Judd , Elsevier, Amsterdam 2006," CeNDEF Working Papers 05-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    13. Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186, Elsevier.
    14. Mikhail Anufriev & Giulio Bottazzi, 2006. "Noisy Trading in the Large Market Limit," Lecture Notes in Economics and Mathematical Systems, in: M. Beckmann & H. P. Künzi & G. Fandel & W. Trockel & A. Basile & A. Drexl & H. Dawid & K. Inderfurth (ed.), Artificial Economics, pages 137-145, Springer.
    15. Grajzl, Peter & Baniak, Andrzej, 2012. "Mandating behavioral conformity in social groups with conformist members," Journal of Economic Behavior & Organization, Elsevier, vol. 82(2), pages 479-493.
    16. Yuri Biondi & Simone Righi, 2019. "Inequality, mobility and the financial accumulation process: a computational economic analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(1), pages 93-119, March.
    17. Yuri Biondi & Simone Righi, 2013. "What does the financial market pricing do? A simulation analysis with a view to systemic volatility, exuberance and vagary," Papers 1312.7460, arXiv.org.
    18. Anirban Chakraborti & Ioane Muni Toke & Marco Patriarca & Frederic Abergel, 2011. "Econophysics review: II. Agent-based models," Quantitative Finance, Taylor & Francis Journals, vol. 11(7), pages 1013-1041.
    19. Atakelty Hailu & Steven Schilizzi, 2004. "Are Auctions More Efficient Than Fixed Price Schemes When Bidders Learn?," Australian Journal of Management, Australian School of Business, vol. 29(2), pages 147-168, December.
    20. Piero Ferri, 2011. "Macroeconomics of Growth Cycles and Financial Instability," Books, Edward Elgar Publishing, number 14260.
    21. Anirban Chakraborti & Ioane Muni Toke & Marco Patriarca & Frédéric Abergel, 2011. "Econophysics review: I. Empirical facts," Post-Print hal-00621058, HAL.
    22. Dima, Bogdan & Dima (Cristea), Stefana Maria, 2009. "A discussion on new cultural and accounting variables and IFRSs’ implementation[:] Empirical study on a sample of Central and Eastern European countries," MPRA Paper 27165, University Library of Munich, Germany.
    23. Simone Landini & Mauro Gallegati, 2014. "Heterogeneity, interaction and emergence: effects of composition," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 4(3/4), pages 339-361.
    24. Anirban Chakraborti & Ioane Muni Toke & Marco Patriarca & Frederic Abergel, 2011. "Econophysics review: I. Empirical facts," Quantitative Finance, Taylor & Francis Journals, vol. 11(7), pages 991-1012.
    25. Wang, Yougui & Stanley, H.E., 2009. "Statistical approach to partial equilibrium analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(7), pages 1173-1180.
    26. Hailu, Atakelty & Schilizzi, Steven, 2003. "Investigating the performance of market-based instruments for resource conservation: the contribution of agent-based modelling," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57883, Australian Agricultural and Resource Economics Society.
    27. Christophe Faugère, 2021. "Connectalism: A new paradigm for human choice," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(6), pages 866-889, November.
    28. John S.L. McCombie & Ioana Negru, 2014. "On economic paradigms, rhetoric and the micro-foundations of macroeconomics," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 11(1), pages 53-66, April.
    29. James Holehouse & Hector Pollitt, 2021. "Non-equilibrium time-dependent solution to discrete choice with social interactions," Papers 2109.09633, arXiv.org, revised Jan 2022.
    30. Maria Alejandra Vélez & John K. Stranlund & James J. Murphy, 2005. "What Motivates Common Pool Resource Users? Experimental Evidence from the Field," Working Papers 2005-4, University of Massachusetts Amherst, Department of Resource Economics.
    31. Muysken, Joan & Zwick, Thomas, 2000. "Wage divergence and unemployment: the impact of insider power and training costs," ZEW Discussion Papers 00-37, ZEW - Leibniz Centre for European Economic Research.
    32. Bruno Contini & Roberto Leombruni & Matteo Richiardi, 2004. "Editorial," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 125-138.
    33. J. Barkley Rosser Jr & Richard P.F. Holt & David Colander, 2010. "European Economics at a Crossroads," Books, Edward Elgar Publishing, number 13585.
    34. Edgardo Bucciarelli & Marcello Silvestri, 2013. "Hyman P. Minsky's unorthodox approach: recent advances in simulation techniques to develop his theoretical assumptions," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 36(2), pages 299-324.
    35. Dirk Helbing, 2013. "Economics 2.0: The Natural Step towards A Self-Regulating, Participatory Market Society," Papers 1305.4078, arXiv.org, revised Jun 2013.
    36. Barbara Dluhosch, 2011. "European Economics at a Crossroads, by J. Barkley Rosser, Jr., Richard P. F. Holt, and David Colander," Journal of Regional Science, Wiley Blackwell, vol. 51(3), pages 629-631, August.
    37. Yuri Biondi & Pierpaolo Giannoccolo, 2015. "Share price formation, market exuberance and financial stability under alternative accounting regimes," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 333-362, October.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.