IDEAS home Printed from https://ideas.repec.org/e/c/pdi147.html
   My authors  Follow this author

Corrado Di Guilmi

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. 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.

    Mentioned in:

    1. Letture suggerite da Keynes blog - 2 novembre 2015
      by keynesblog in Keynes Blog on 2015-11-02 18:33:45

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Baskozos, Giorgos & Galanis, Giorgos & Di Guilmi, Corrado, 2020. "A Behavioural SIR Model and its Implications for Physical Distancing," CRETA Online Discussion Paper Series 58, Centre for Research in Economic Theory and its Applications CRETA.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Modelling
  2. Giorgos Baskozos & Giorgos Galanis & Corrado Di Guilmi, 2020. "Social distancing and contagion in a discrete choice model of COVID-19," CAMA Working Papers 2020-35, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Health > Distancing and Lockdown > Effect on Health
    2. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Modelling

Working papers

  1. Baskozos, Giorgos & Galanis, Giorgos & Di Guilmi, Corrado, 2020. "A Behavioural SIR Model and its Implications for Physical Distancing," CRETA Online Discussion Paper Series 58, Centre for Research in Economic Theory and its Applications CRETA.

    Cited by:

    1. 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.
    2. Peter Flaschel & Giorgos Galanis & Daniele Tavani & Roberto Veneziani, 2021. "Pandemics and aggregate demand: A framework for policy analysis," CAMA Working Papers 2021-12, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. Corrado Di Guilmi & Giorgos Galanis & Christian Proaño, 2022. "A Baseline Model of Behavioral Political Cycles and Macroeconomic Fluctuations," Working Papers 106, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    4. Joshua S. Gans, 2020. "The Economic Consequences of R̂ = 1: Towards a Workable Behavioural Epidemiological Model of Pandemics," NBER Working Papers 27632, National Bureau of Economic Research, Inc.

  2. Corrado Di Guilmi & Yoshi Fujiwara, 2020. "Dual labor market, inflation, and aggregate demand in an agent-based model of the Japanese macroeconomy," CAMA Working Papers 2020-11, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Hideaki Aoyama & Corrado Di Guilmi & Yoshi Fujiwara & Hiroshi Yoshikawa, 2021. "Dual Labor Market and the "Phillips Curve Puzzle"," Papers 2103.06482, arXiv.org.
    2. 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).

  3. Giorgos Baskozos & Giorgos Galanis & Corrado Di Guilmi, 2020. "Social distancing and contagion in a discrete choice model of COVID-19," CAMA Working Papers 2020-35, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Cassandra Castle & Corrado Di Guilmi & Olena Stavrunova, 2021. "Individualism and Collectivism as predictors of compliance with COVID-19 public health safety expectations," Working Paper Series 2021/03, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Guilmi, Corrado Di & Galanis, Giorgos, 2020. "Convergence and divergence in dynamic voting with inequality," CRETA Online Discussion Paper Series 61, Centre for Research in Economic Theory and its Applications CRETA.
    3. Domenico Delli Gatti & Severin Reissl & Enrico Turco, 2021. "V for Vaccines and Variants," CESifo Working Paper Series 9291, CESifo.
    4. Domenico Delli Gatti & Severin Reissl, 2020. "ABC: An Agent Based Exploration of the Macroeconomic Effects of Covid-19," CESifo Working Paper Series 8763, CESifo.
    5. Andrew Atkeson, 2020. "On Using SIR Models to Model Disease Scenarios for COVID-19," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 41(01), pages 1-35, June.

  4. Laura Carvalho & Corrado Di Guilmi, 2019. "Technological unemployment and income inequality: a stock-flow consistent agent-based approach," Working Papers, Department of Economics 2019_04, University of São Paulo (FEA-USP).

    Cited by:

    1. Lilian N. Rolim & Carolina Troncoso Baltar & Gilberto Tadeu Lima, 2021. "Income Distribution, Productivity Growth and Workers's Bargaining Power in an Agent-Based Macroeconomic Model," Working Papers, Department of Economics 2021_27, University of São Paulo (FEA-USP), revised 30 Nov 2021.
    2. 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.
    3. 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.
    4. Gregor Semieniuk & Emanuele Campiglio & Jean‐Francois Mercure & Ulrich Volz & Neil R. Edwards, 2021. "Low‐carbon transition risks for finance," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 12(1), January.
    5. Yuri Lima & Carlos Eduardo Barbosa & Herbert Salazar dos Santos & Jano Moreira de Souza, 2021. "Understanding Technological Unemployment: A Review of Causes, Consequences, and Solutions," Societies, MDPI, vol. 11(2), pages 1-17, May.

  5. Michele Catalano & Corrado Di Guilmi, 2016. "Uncertainty, rationality and complexity in a multi sectoral dynamic model: the Dynamic Stochastic Generalized Aggregation approach," CAMA Working Papers 2016-16, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Joseph Stiglitz & Tania Treibich, 2017. "Rational Heuristics ? Expectations and behaviors in Evolving Economies with Heterogeneous interacting agents," Working Papers hal-03455368, HAL.
    2. Proaño, Christian R. & Lojak, Benjamin, 2020. "Animal spirits, risk premia and monetary policy at the zero lower bound," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 221-233.
    3. Masciandaro, Donato, 2022. "Independence, conservatism, and beyond: Monetary policy, central bank governance and central banker preferences (1981–2021)," Journal of International Money and Finance, Elsevier, vol. 122(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. 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.

  6. Corrado Di Guilmi & Laura Carvalho, 2016. "The Dynamics Of Leverage In A Demand-Driven Model With Heterogeneous Firms," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 141, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

    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. 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.
    3. Laura Carvalho & Corrado Di Guilmi, 2019. "Technological unemployment and income inequality: a stock-flow consistent agent-based approach," Working Papers, Department of Economics 2019_04, University of São Paulo (FEA-USP).
    4. Karlis, Alexandros & Galanis, Giorgos & Terovitis, Spyridon & Turner, Matthew, 2015. "Heterogeneity and Clustering of Defaults," The Warwick Economics Research Paper Series (TWERPS) 1083, University of Warwick, Department of Economics.
    5. 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.
    6. 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.
    7. 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).
    8. 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.
    9. 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.
    10. 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.

  7. Corrado Di Guilmi & Laura Carvalho, 2015. "The dynamics of leverage in a Minskyan model with heterogeneous firms," Working Papers, Department of Economics 2015_15, University of São Paulo (FEA-USP).

    Cited by:

    1. 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.

  8. 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.

    Cited by:

    1. Serena Sordi & Marwil J. Dávila-Fernández, 2020. "Investment behaviour and “bull & bear” dynamics: modelling real and stock market interactions," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 867-897, October.
    2. Kubin, Ingrid & Zörner, Thomas O. & Gardini, Laura & Commendatore, Pasquale, 2019. "A credit cycle model with market sentiments," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 159-174.
    3. Peter Flaschel & Matthieu Charpe & Giorgos Galanis & Christian R. Proaño & Roberto Veneziani, 2017. "Macroeconomic and stock market interactions with endogenous aggregate sentiment dynamics," IMK Working Paper 186-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.

  9. Laura Carvalho & Corrado Di Guilmi, 2014. "Income inequality and macroeconomic instability: a stock-flow consistent approach with heterogeneous agents," CAMA Working Papers 2014-60, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. 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.
    2. Jo Michell, 2014. "A Steindlian account of the distribution of corporate profits and leverage: A stock-flow consistent macroeconomic model with agent-based microfoundations," Working Papers PKWP1412, Post Keynesian Economics Society (PKES).
    3. Gennaro Zezza & Michalis Nikiforos, 2017. "Stock-flow Consistent Macroeconomic Models: A Survey," EcoMod2017 10762, EcoMod.
    4. Philipp Poppitz, 2016. "Does self-perceptions and income inequality match?," IMK Working Paper 173-2016, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.

  10. 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.

    Cited by:

    1. Elena Deryugina & Alexey Ponomarenko & Anna Rozhkova, 2018. "When are credit gap estimates reliable?," Bank of Russia Working Paper Series wps34, Bank of Russia.
    2. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2020. "Winter is possibly not coming: Mitigating financial instability in an agent-based model with interbank market," Documents de Travail de l'OFCE 2020-14, Observatoire Francais des Conjonctures Economiques (OFCE).
    3. 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.
    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. 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.
    6. Isabelle Salle & Pascal Seppecher, 2017. "Stabilizing an Unstable Complex Economy," Working Papers hal-01527740, HAL.
    7. 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.
    8. 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.
    9. Carl Chiarella & Corrado Di Guilmi, 2014. "Financial instability and debt deflation dynamics in a bottom-up approach," Economics Bulletin, AccessEcon, vol. 34(1), pages 125-132.

  11. Corrado Di Guilmi & Xue-Zhong He & Kai Li, 2013. "Herding, Trend Chasing and Market Volatility," Research Paper Series 337, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Xue-Zhong He & Kai Li & Chuncheng Wang, 2018. "Time-varying economic dominance in financial markets: A bistable dynamics approach," Published Paper Series 2018-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Wang, Qi & Zhang, Chunyu & Ding, Yi & Xydis, George & Wang, Jianhui & Østergaard, Jacob, 2015. "Review of real-time electricity markets for integrating Distributed Energy Resources and Demand Response," Applied Energy, Elsevier, vol. 138(C), pages 695-706.
    3. He, Xue-Zhong & Li, Kai & Santi, Caterina & Shi, Lei, 2022. "Social interaction, volatility clustering, and momentum," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 125-149.
    4. Yi-Fang Liu & Wei Zhang & Chao Xu & Jørgen Vitting Andersen & Hai-Chuan Xu, 2014. "Impact of information cost and switching of trading strategies in an artificial stock market," Post-Print halshs-01215947, HAL.
    5. Karlis, Alexandros & Galanis, Girogos & Terovitis, Spyridon & Turner, Matthew, 2017. "Heterogeneity and Clustering of Defaults," Economic Research Papers 270011, University of Warwick - Department of Economics.
    6. Li, Kai, 2019. "Portfolio selection with inflation-linked bonds and indexation lags," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    7. Liu, Zhenya & Lu, Shanglin & Wang, Shixuan, 2021. "Asymmetry, tail risk and time series momentum," International Review of Financial Analysis, Elsevier, vol. 78(C).
    8. Sebastian Di Tella, 2017. "Optimal Regulation of Financial Intermediaries," NBER Working Papers 23586, National Bureau of Economic Research, Inc.
    9. Xue-Zhong He & Kai Li & Chuncheng Wan, 2015. "Volatility Clustering: A Nonlinear Theoretical Approach," Research Paper Series 365, Quantitative Finance Research Centre, University of Technology, Sydney.
    10. Hommes, Cars & Li, Kai & Wagener, Florian, 2022. "Production delays and price dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 341-362.
    11. Li, Kai, 2021. "Nonlinear effect of sentiment on momentum," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    12. 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.
    13. Xue-Zhong He & Kai Li, 2014. "Time Series Momentum and Market Stability," Research Paper Series 341, Quantitative Finance Research Centre, University of Technology, Sydney.
    14. He, Xue-Zhong & Li, Youwei & Zheng, Min, 2019. "Heterogeneous agent models in financial markets: A nonlinear dynamics approach," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 135-149.
    15. Karlis, Alexandros & Galanis, Giorgos & Terovitis, Spyridon & Turner, Matthew, 2015. "Heterogeneity and Clustering of Defaults," The Warwick Economics Research Paper Series (TWERPS) 1083, University of Warwick, Department of Economics.
    16. 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.
    17. He, Xue-Zhong & Li, Kai, 2015. "Profitability of time series momentum," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 140-157.
    18. Guo, Bin & Huang, Fuzhe & Li, Kai, 2020. "Time to build and bond risk premia," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    19. Olusegun Ojomo & Oluwaseyi Adewunmi Sodeinde, 2021. "Social Media Skits: Reshaping the Entertainment Experience of Broadcast Audience," SAGE Open, , vol. 11(3), pages 21582440211, July.
    20. Wang, Guocheng & Wang, Yanyi, 2018. "Herding, social network and volatility," Economic Modelling, Elsevier, vol. 68(C), pages 74-81.
    21. Zhao, Dongxu & Li, Kai, 2022. "Bounded rationality, adaptive behaviour, and asset prices," International Review of Financial Analysis, Elsevier, vol. 80(C).
    22. Yi-Fang Liu & Wei Zhang & Chao Xu & Jørgen Vitting Andersen & Hai-Chuan Xu, 2014. "Impact of information cost and switching of trading strategies in an artificial stock market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01215947, HAL.
    23. Dong, Feng & Jia, Yandong & Wang, Siqing, 2022. "Speculative Bubbles and Talent Misallocation," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    24. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014.
    25. Yi-Fang Liu & Wei Zhang & Chao Xu & Jørgen Vitting Andersen & Hai-Chuan Xu, 2014. "Impact of information cost and switching of trading strategies in an artificial stock market," Post-Print halshs-00983051, HAL.
    26. Ferreruela, Sandra & Mallor, Tania, 2021. "Herding in the bad times: The 2008 and COVID-19 crises," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    27. 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.
    28. Yi-Fang Liu & Wei Zhang & Chao Xu & J{o}rgen Vitting Andersen & Hai-Chuan Xu, 2013. "Impact of information cost and switching of trading strategies in an artificial stock market," Papers 1311.4274, arXiv.org, revised Jul 2014.
    29. Santi, Caterina & Zwinkels, Remco C.J., 2023. "Exploring style herding by mutual funds," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    30. Jia-Ping Huang & Yang Zhang & Juanxi Wang, 2023. "Dynamic effects of social influence on asset prices," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 671-699, July.

  12. 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.

    Cited by:

    1. 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.
    2. Reiner Franke & Frank Westerhoff, 2017. "Taking Stock: A Rigorous Modelling Of Animal Spirits In Macroeconomics," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1152-1182, December.
    3. Corrado Di Guilmi & Xue-Zhong He & Kai Li, 2013. "Herding, Trend Chasing and Market Volatility," Research Paper Series 337, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. 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.
    5. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014.

  13. 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.

    Cited by:

    1. 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.
    2. 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.
    3. 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).
    4. 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.
    5. 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.
    6. De Grauwe, Paul & Gerba, Eddie, 2018. "The role of cognitive limitations and heterogeneous expectations for aggregate production and credit cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 206-236.
    7. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2020. "Winter is possibly not coming: Mitigating financial instability in an agent-based model with interbank market," Documents de Travail de l'OFCE 2020-14, Observatoire Francais des Conjonctures Economiques (OFCE).
    8. 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.
    9. Mulligan, Robert F., 2013. "New evidence on the structure of production: Real and Austrian business cycle theory and the financial instability hypothesis," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 67-77.
    10. Cavallaro, Eleonora & Maggi, Bernardo, 2016. "State of confidence, overborrowing and macroeconomic stabilization in out-of-equilibrium dynamics," Economic Modelling, Elsevier, vol. 59(C), pages 210-223.
    11. Karlis, Alexandros & Galanis, Girogos & Terovitis, Spyridon & Turner, Matthew, 2017. "Heterogeneity and Clustering of Defaults," Economic Research Papers 270011, University of Warwick - Department of Economics.
    12. Robert W. Dimand, 2014. "James Tobin and Modern Monetary Theory," Center for the History of Political Economy Working Paper Series 2014-5, Center for the History of Political Economy.
    13. 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.
    14. Chen, Zhenxi & Lien, Donald & Lin, Yaheng, 2021. "Sentiment: The bridge between financial markets and macroeconomy," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 1177-1190.
    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. 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.
    18. Laura Carvalho & Corrado Di Guilmi, 2019. "Technological unemployment and income inequality: a stock-flow consistent agent-based approach," Working Papers, Department of Economics 2019_04, University of São Paulo (FEA-USP).
    19. 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).
    20. Costa Lima, B. & Grasselli, M.R. & Wang, X.-S. & Wu, J., 2014. "Destabilizing a stable crisis: Employment persistence and government intervention in macroeconomics," Structural Change and Economic Dynamics, Elsevier, vol. 30(C), pages 30-51.
    21. Nikolaidi, Maria & Stockhammer, Engelbert, 2017. "Minsky models: a structured survey," Greenwich Papers in Political Economy 17739, University of Greenwich, Greenwich Political Economy Research Centre.
    22. 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.
    23. Soon Ryoo, 2016. "Household debt and housing bubbles: a Minskian approach to boom-bust cycles," Journal of Evolutionary Economics, Springer, vol. 26(5), pages 971-1006, December.
    24. 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.
    25. 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.
    26. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2012. "Income Distribution, Credit and Fiscal Policies in an Agent-Based Keynesian Model," Working Papers 03/2012, University of Verona, Department of Economics.
    27. 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.
    28. Isabelle Salle & Pascal Seppecher, 2017. "Stabilizing an Unstable Complex Economy," Working Papers hal-01527740, HAL.
    29. 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..
    30. Karlis, Alexandros & Galanis, Giorgos & Terovitis, Spyridon & Turner, Matthew, 2015. "Heterogeneity and Clustering of Defaults," The Warwick Economics Research Paper Series (TWERPS) 1083, University of Warwick, Department of Economics.
    31. 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.
    32. 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.
    33. Corrado Di Guilmi & Xue-Zhong He & Kai Li, 2013. "Herding, Trend Chasing and Market Volatility," Research Paper Series 337, Quantitative Finance Research Centre, University of Technology, Sydney.
    34. 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.
    35. 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.
    36. Filippo Gusella & Engelbert Stockhammer, 2020. "Testing fundamentalist-momentum trader financial cycles. An empirical analysis via the Kalman filter," Working Papers PKWP2009, Post Keynesian Economics Society (PKES).
    37. 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.
    38. 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.
    39. Bovari, Emmanuel & Giraud, Gaël & Mc Isaac, Florent, 2018. "Coping With Collapse: A Stock-Flow Consistent Monetary Macrodynamics of Global Warming," Ecological Economics, Elsevier, vol. 147(C), pages 383-398.
    40. Yannis Dafermos, 2015. "Debt cycles, instability and fiscal rules: a Godley-Minsky model," Working Papers 20151509, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    41. 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).
    42. Gross, Marco, 2022. "Beautiful cycles: A theory and a model implying a curious role for interest," Economic Modelling, Elsevier, vol. 106(C).
    43. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014.
    44. Chiarella Carl & Di Guilmi Corrado, 2012. "The Fiscal Cost of Financial Instability," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(4), pages 1-29, October.
    45. 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.
    46. Adam B. Barrett, 2017. "Stability of zero-growth economics analysed with a Minskyan model," Papers 1704.08161, arXiv.org, revised Nov 2017.
    47. Laura Carvalho & Corrado Di Guilmi, 2014. "Income inequality and macroeconomic instability: a stock-flow consistent approach with heterogeneous agents," CAMA Working Papers 2014-60, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    48. Mulligan, Robert F., 2013. "A sectoral analysis of the financial instability hypothesis," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(4), pages 450-459.
    49. 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.
    50. Yannis Dafermos, 2018. "Debt cycles, instability and fiscal rules: a Godley–Minsky synthesis," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 42(5), pages 1277-1313.
    51. 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.
    52. Gaël Giraud & Florent MCISAAC & Emmanuel BOVARI, 2018. "Coping with the Collapse: A Stock-Flow Consistent Monetary Macrodynamics of Global Warming - Updated version dated July 2017," Working Paper 987f5d77-9601-4865-9ce1-4, Agence française de développement.
    53. Bhar, Ramaprasad & Malliaris, A.G., 2021. "Modeling U.S. monetary policy during the global financial crisis and lessons for Covid-19," Journal of Policy Modeling, Elsevier, vol. 43(1), pages 15-33.
    54. 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.
    55. Carl Chiarella & Corrado Di Guilmi, 2014. "Financial instability and debt deflation dynamics in a bottom-up approach," Economics Bulletin, AccessEcon, vol. 34(1), pages 125-132.
    56. 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.

  14. 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.

  15. 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.

    Cited by:

    1. Kebewar, mazen, 2012. "La structure du capital et la profitabilité Une étude empirique sur données de panel françaises," MPRA Paper 42446, University Library of Munich, Germany.
    2. 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.
    3. Ugo FRATESI, 2010. "The National and International Effects;of Regional Policy Choices: Agglomeration Economies, Peripherality and Territorial Characteristics," Working Papers 344, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    4. Luca RICCETTI, 2011. "A Copula-GARCH Model for Macro Asset Allocation of a Portfolio with Commodities: an Out-of-Sample Analysis," Working Papers 355, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    5. Alberto RUSSO, 2012. "A Stochastic Model of Wealth Accumulation with Class Division," Working Papers 373, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    6. 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.
    7. Fabio FIORILLO & Agnese SACCHI, 2010. "I Want to Free-ride. An Opportunistic View on Decentralization Versus Centralization Problem," Working Papers 346, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    8. 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.
    9. Elena AMBROSETTI & Eralba CELA & Tineke FOKKEMA, 2011. "The Remittances Behaviour of the Second Generation in Europe: Altruism or Self-Interest?," Working Papers 368, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    10. 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.
    11. Luca RICCETTI, 2010. "Minimum Tracking Error Volatility," Working Papers 340, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

  16. 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.

  17. 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. 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.
    3. Ramis Khabibullin & Alexey Ponomarenko, 2020. "An empirical behavioral model of households’ deposit dollarization," Bank of Russia Working Paper Series wps67, Bank of Russia.

  18. 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, 2012. "Markets connectivity and financial contagion," Working Papers 382, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    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.

  19. 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. 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).
    2. Bottazzi, Giulio, 2009. "On the irreconcilability of Pareto and Gibrat laws," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(7), pages 1133-1136.
    3. 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.
    4. Masashi Tomoyose & Shouji Fujimoto & Atushi Ishikawa, 2008. "Non-Gibrat's law in the middle scale region," Papers 0809.3060, arXiv.org.
    5. Yuichi Ikeda & Hideaki Aoyama & Hiroshi Iyetomi & Yoshi Fujiwara & Wataru Souma & Taisei Kaizoji, 2006. "Response of Firm Agent Network to Exogenous Shock," Papers physics/0607287, arXiv.org.
    6. 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.
    7. 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.
    8. 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.
    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. 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.
    11. Wright, Ian, 2008. "Implicit Microfoundations for Macroeconomics," Economics Discussion Papers 2008-41, Kiel Institute for the World Economy (IfW Kiel).
    12. 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.
    13. Robert Kitt & Jaan Kalda, 2005. "Scaling analysis of multivariate intermittent time series," Papers cond-mat/0501325, arXiv.org.
    14. Tamotsu Onozaki, 2018. "Nonlinearity, Bounded Rationality, and Heterogeneity," Springer Books, Springer, number 978-4-431-54971-0, June.
    15. 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.
    16. 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.
    17. 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).
    18. 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).
    19. Giuseppe Toscani, 2016. "Kinetic and mean field description of Gibrat's law," Papers 1606.04796, arXiv.org.
    20. 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.
    21. Alfaro, Martín, 2020. "Market structures in small open economies: Evidence from Denmark," Research in Economics, Elsevier, vol. 74(4), pages 363-378.
    22. Xavier Gabaix, 2009. "Power Laws in Economics and Finance," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 255-294, May.
    23. Xavier Gabaix, 2009. "The Granular Origins of Aggregate Fluctuations," NBER Working Papers 15286, National Bureau of Economic Research, Inc.
    24. 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.
    25. 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).
    26. 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.
    27. 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.
    28. 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.
    29. Wright, Ian, 2005. "The social architecture of capitalism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 346(3), pages 589-620.
    30. 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.
    31. 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.
    32. Atushi Ishikawa, 2007. "The log-normal distribution from Non-Gibrat's law in the middle scale region of profits," Papers 0705.1056, arXiv.org.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. 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).
    39. Salvador Pueyo, 2014. "Ecological Econophysics for Degrowth," Sustainability, MDPI, vol. 6(6), pages 1-53, May.
    40. 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.
    41. 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.
    42. Keiichi Kishi, 2016. "Technology Diffusion, Pareto Distribution, and Patent Policy," Discussion Papers in Economics and Business 16-31, Osaka University, Graduate School of Economics.
    43. Kiyoyasu Tanaka & Naomi Hatsukano, 2011. "The size distribution of all Cambodian establishments," Economics Bulletin, AccessEcon, vol. 31(3), pages 2128-2137.
    44. 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.
    45. 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.
    46. 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.
    47. 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.
    48. 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.
    49. 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.
    50. 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.
    51. 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.
    52. 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.
    53. 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.
    54. 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.
    55. 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.
    56. 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.
    57. 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.
    58. 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.
    59. Atushi Ishikawa, 2007. "The uniqueness of company size distribution function from tent-shaped growth rate distribution," Papers physics/0702248, arXiv.org.
    60. 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.
    61. 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.
    62. 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.
    63. 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.
    64. 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).
    65. Ian Wright, 2004. "A conjecture on the distribution of firm profit," Papers cond-mat/0407687, arXiv.org, revised Mar 2011.
    66. Gerrit de Wit, 2005. "Zipf's Law in Economics," Scales Research Reports N200503, EIM Business and Policy Research.
    67. 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).
    68. 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.
    69. 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.
    70. 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.
    71. 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).
    72. Andrew T. Balthrop, 2021. "Gibrat’s law in the trucking industry," Empirical Economics, Springer, vol. 61(1), pages 339-354, July.
    73. 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.
    74. 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.
    75. 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.
    76. Sui, Xin & Li, Liang, 2018. "Guarantee network model and risk contagion," Chaos, Solitons & Fractals, Elsevier, vol. 106(C), pages 323-329.
    77. 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.
    78. 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.
    79. 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.
    80. Wang Dahui & Zhou Li & Di Zengru, 2005. "Bipartite Producer-Consumer Networks and the Size Distribution of Firms," Papers physics/0507163, arXiv.org.
    81. Marko Peric & Vanja Vitezic, 2016. "Impact of global economic crisis on firm growth," Small Business Economics, Springer, vol. 46(1), pages 1-12, January.
    82. 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.
    83. 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.
    84. 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.
    85. 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.
    86. Kishi, Keiichi, 2019. "Technology diffusion, innovation size, and patent policy," European Economic Review, Elsevier, vol. 118(C), pages 382-410.
    87. Atushi Ishikawa, 2007. "Quasistatically varying log-normal distribution in the middle scale region of Japanese land prices," Papers 0710.1893, arXiv.org.
    88. Anindya S. Chakrabarti, 2013. "Bimodality in the firm size distributions: a kinetic exchange model approach," Papers 1302.3818, arXiv.org, revised May 2013.
    89. 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.
    90. 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.
    91. 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.
    92. 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.
    93. 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.
    94. 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.
    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).

Articles

  1. Corrado Di Guilmi & Giorgos Galanis & Giorgos Baskozos, 2022. "A Behavioural SIR Model: Implications for Physical Distancing Decisions," Review of Behavioral Economics, now publishers, vol. 9(1), pages 45-63, April.

    Cited by:

    1. Giorgos Galanis & Giorgio Ricchiuti & Ben Tippet, 2022. "The Global Political Economy of a Green Transition," Working Papers - Economics wp2022_22.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.

  2. Di Guilmi, Corrado & Galanis, Giorgos, 2021. "Convergence and divergence in dynamic voting with inequality," Journal of Economic Behavior & Organization, Elsevier, vol. 187(C), pages 137-158.

    Cited by:

    1. 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.
    2. Corrado Di Guilmi & Giorgos Galanis & Christian Proaño, 2022. "A Baseline Model of Behavioral Political Cycles and Macroeconomic Fluctuations," Working Papers 106, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    3. Mayerhoffer, Daniel & Schulz-Gebhard, Jan, 2023. "Social segregation, misperceptions, and emergent cyclical choice patterns," BERG Working Paper Series 186, Bamberg University, Bamberg Economic Research Group.
    4. Bodo Knoll & Hans Pitlik & Martin Rode, 2023. "TV Consumption Patterns and the Impact of Media Freedom on Political Trust and Satisfaction with the Government," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(1), pages 323-340, September.
    5. Giorgos Galanis & Giorgio Ricchiuti & Ben Tippet, 2022. "The Global Political Economy of a Green Transition," Working Papers - Economics wp2022_22.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.

  3. 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.
    See citations under working paper version above.
  4. 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, 2020. "An empirical behavioral model of households’ deposit dollarization," Bank of Russia Working Paper Series wps67, Bank of Russia.
    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.

  5. 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.
    See citations under working paper version above.
  6. 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.
    See citations under working paper version above.
  7. 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.

    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. 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. 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. 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.
    5. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harre, 2020. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large scale agent-based model," Papers 2004.07571, arXiv.org.

  8. Chiarella, C. & Di Guilmi, C., 2017. "Monetary Policy And Debt Deflation: Some Computational Experiments," Macroeconomic Dynamics, Cambridge University Press, vol. 21(1), pages 214-242, January.
    See citations under working paper version above.
  9. Chiarella Carl & Di Guilmi Corrado, 2015. "The limit distribution of evolving strategies in financial markets," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(2), pages 137-159, April.
    See citations under working paper version above.
  10. Di Guilmi, Corrado & He, Xue-Zhong & Li, Kai, 2014. "Herding, trend chasing and market volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 349-373.
    See citations under working paper version above.
  11. Carl Chiarella & Corrado Di Guilmi, 2014. "Financial instability and debt deflation dynamics in a bottom-up approach," Economics Bulletin, AccessEcon, vol. 34(1), pages 125-132.

    Cited by:

    1. 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.

  12. Chiarella Carl & Di Guilmi Corrado, 2012. "The Fiscal Cost of Financial Instability," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(4), pages 1-29, October.

    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Carl Chiarella & Corrado Di Guilmi, 2014. "Financial instability and debt deflation dynamics in a bottom-up approach," Economics Bulletin, AccessEcon, vol. 34(1), pages 125-132.

  13. 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. 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.
    2. 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.
    3. 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.
    4. 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.

  14. Chiarella, Carl & Di Guilmi, Corrado, 2011. "The financial instability hypothesis: A stochastic microfoundation framework," Journal of Economic Dynamics and Control, Elsevier, vol. 35(8), pages 1151-1171, August.
    See citations under working paper version above.
  15. 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.

  16. 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.
  17. 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. 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.
    2. 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.
    3. 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.
    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. Ichiro Takahashi, 2021. "Market Mechanism: Stabilizing or Destabilizing?," Springer Books, in: An Artificial Wicksell—Keynes Macroeconomy, chapter 0, pages 1-20, Springer.
    6. 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.
    7. 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.
    8. J. Barkley Rosser Jr & Richard P.F. Holt & David Colander, 2010. "European Economics at a Crossroads," Books, Edward Elgar Publishing, number 13585.
    9. Yıldırım-Karaman, Seçil, 2018. "Uncertainty in financial markets and business cycles," Economic Modelling, Elsevier, vol. 68(C), pages 329-339.
    10. Matteo Richiardi, 2003. "On the Use of Agent-Based Simulations," LABORatorio R. Revelli Working Papers Series 32, LABORatorio R. Revelli, Centre for Employment Studies.
    11. 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.
    12. 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).
    13. 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.
    14. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    15. 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.
    16. Ichiro Takahashi, 2021. "An Artificial Wicksell—Keynes Macroeconomy," Springer Books, Springer, number 978-981-16-6839-5, June.
    17. 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).
    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.

  18. 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.

  19. 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. Saman Banafti & Tae-Hwy Lee, 2022. "Inferential Theory for Granular Instrumental Variables in High Dimensions," Working Papers 202203, University of California at Riverside, Department of 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. 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.
    5. 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.
    6. Fanny Henriet & Stéphane Hallegatte & Lionel Tabourier, 2012. "Firm-network characteristics and economic robustness to natural disasters," Post-Print hal-00716554, HAL.
    7. Bottazzi, Giulio, 2009. "On the irreconcilability of Pareto and Gibrat laws," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(7), pages 1133-1136.
    8. 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.
    9. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," SciencePo Working papers Main hal-03459508, HAL.
    10. 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.
    11. 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.
    12. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux: New Developments and Challenges Ahead," Sciences Po publications info:hdl:2441/dcditnq6282, Sciences Po.
    13. 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).
    14. 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.
    15. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," PSE-Ecole d'économie de Paris (Postprint) hal-03399574, HAL.
    16. 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.
    17. 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.
    18. 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.
    19. 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).
    20. 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.
    21. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    22. Gerard Weisbuch & Stefano Battiston, 2005. "Production networks and failure avalanches," Papers physics/0507101, arXiv.org.
    23. Aßmuth, Pascal, 2015. "Stock price related financial fragility and growth patterns," Center for Mathematical Economics Working Papers 539, Center for Mathematical Economics, Bielefeld University.
    24. 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).
    25. 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.
    26. 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.
    27. 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).
    28. 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.
    29. Paul De Grauwe & Yuemei Ji, 2017. "Analyzing Structural Reforms Using a Behavioral Macroeconomic Model," CESifo Working Paper Series 6518, CESifo.
    30. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2020. "Winter is possibly not coming: Mitigating financial instability in an agent-based model with interbank market," Documents de Travail de l'OFCE 2020-14, Observatoire Francais des Conjonctures Economiques (OFCE).
    31. 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.
    32. Gérard Ballot & Antoine Mandel & Annick Vignes, 2015. "Agent-based modeling and economic theory: where do we stand?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01296643, HAL.
    33. De Grauwe, Paul & Ji, Yuemei, 2020. "Structural reforms, animal spirits, and monetary policies," European Economic Review, Elsevier, vol. 124(C).
    34. 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.
    35. 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.
    36. 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).
    37. Halvarsson, Daniel, 2013. "Identifying High-Growth Firms," Ratio Working Papers 215, The Ratio Institute.
    38. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2014. "Fiscal and Monetary Policies in Complex Evolving Economies," LEM Papers Series 2014/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    39. Lilit Popoyan, 2020. "Macroprudential Policy: a Blessing or a Curse?," Review of Economics and Institutions, Università di Perugia, vol. 11(1-2).
    40. 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.
    41. 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.
    42. 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.
    43. Corrado Di Guilmi & Mauro Gallegati & Simone Landini, 2007. "Economic dynamics with financial fragility and mean-field interaction: a model," Papers 0709.2083, arXiv.org.
    44. 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).
    45. 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.
    46. 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.
    47. 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.
    48. 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.
    49. 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).
    50. 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).
    51. 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.
    52. 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.
    53. 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.
    54. D. Sornette, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based models," Papers 1404.0243, arXiv.org.
    55. 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.
    56. 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).
    57. 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).
    58. 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).
    59. 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.
    60. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2017. "Micro and macro policies in the Keynes +Schumpeter evolutionary models," Sciences Po publications info:hdl:2441/1a9acst1l28, Sciences Po.
    61. 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).
    62. 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.
    63. 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.
    64. Wright, Ian, 2005. "The social architecture of capitalism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 346(3), pages 589-620.
    65. 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.
    66. Antoine Mandel & Vipin Veetil, 2020. "The Economic Cost of COVID Lockdowns: An Out-of-Equilibrium Analysis," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 431-451, October.
    67. 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.
    68. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    69. 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.
    70. 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.
    71. 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.
    72. 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.
    73. 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).
    74. 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.
    75. 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.
    76. Mauro Napoletano & Giovanni Dosi & Giorgio Fagiolo & Andrea Roventini, 2012. "Wage Formation, Investment Behavior and Growth Regimes: An Agent-Based Analysis," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 235-261.
    77. Ali Hosseiny & Mohammad Bahrami & Antonio Palestrini & Mauro Gallegati, 2016. "Metastable Features of Economic Networks and Responses to Exogenous Shocks," Papers 1608.00275, arXiv.org.
    78. 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.
    79. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2012. "An Agent Based Decentralized Matching Macroeconomic Model," MPRA Paper 42211, University Library of Munich, Germany.
    80. 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.
    81. Antoine Mandel & Simone Landini & Mauro Gallegati & Herbert Gintis, 2013. "Price Dynamics, financial fragility and aggregate volatility," Post-Print halshs-00917892, HAL.
    82. 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.
    83. 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).
    84. Ichiro Takahashi, 2021. "Market Mechanism: Stabilizing or Destabilizing?," Springer Books, in: An Artificial Wicksell—Keynes Macroeconomy, chapter 0, pages 1-20, Springer.
    85. 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.
    86. 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.
    87. De Grauwe, Paul & Ji, Yuemei, 2019. "Inflation targets and the zero lower bound in a behavioural macroeconomic model," LSE Research Online Documents on Economics 80271, London School of Economics and Political Science, LSE Library.
    88. Nikolaidi, Maria & Stockhammer, Engelbert, 2017. "Minsky models: a structured survey," Greenwich Papers in Political Economy 17739, University of Greenwich, Greenwich Political Economy Research Centre.
    89. Andrei A. Levchenko & Julian di Giovanni, 2009. "International Trade and Aggregate Fluctuations in Granular Economies," 2009 Meeting Papers 491, Society for Economic Dynamics.
    90. 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.
    91. 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.
    92. 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.
    93. 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.
    94. 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.
    95. 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.
    96. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2012. "Income Distribution, Credit and Fiscal Policies in an Agent-Based Keynesian Model," Working Papers 03/2012, University of Verona, Department of Economics.
    97. 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.
    98. Paul De Grauwe, 2010. "Top-Down versus Bottom-Up Macroeconomics," CESifo Economic Studies, CESifo Group, vol. 56(4), pages 465-497, December.
    99. 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.
    100. 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.
    101. 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.
    102. Schoder, Christian, 2017. "Are Dynamic Stochastic Disequilibrium models Keynesian or neoclassical?," Structural Change and Economic Dynamics, Elsevier, vol. 40(C), pages 46-63.
    103. 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.
    104. 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.
    105. 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.
    106. 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.
    107. Iori, G. & Porter, J., 2012. "Agent-Based Modelling for Financial Markets," Working Papers 12/08, Department of Economics, City University London.
    108. 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.
    109. 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.
    110. 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.
    111. 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.
    112. 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.
    113. 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.
    114. 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.
    115. 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).
    116. 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).
    117. 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.
    118. 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).
    119. Alberto Russo, 2009. "On the evolution of the Italian bank branch distribution," Economics Bulletin, AccessEcon, vol. 29(3), pages 2063-2078.
    120. Maziarz Mariusz, 2019. "A disequilibrium mechanism: When managerial decisions cause macroeconomic instability," Economics and Business Review, Sciendo, vol. 5(1), pages 79-92, March.
    121. 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.
    122. 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..
    123. 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.
    124. 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.
    125. Teglio, Andrea, 2020. "On the typicality of the representative agent," MPRA Paper 105407, University Library of Munich, Germany.
    126. Heinrich, Torsten, 2016. "The Narrow and the Broad Approach to Evolutionary Modeling in Economics," MPRA Paper 75797, University Library of Munich, Germany.
    127. 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).
    128. Aßmuth, Pascal, 2017. "Stock price related financial fragility and growth patterns," Economics Discussion Papers 2017-108, Kiel Institute for the World Economy (IfW Kiel).
    129. 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.
    130. 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.
    131. 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.
    132. Antonio Palestrini, 2015. "Firm Size Distribution and the Survival Bias," Economics Bulletin, AccessEcon, vol. 35(3), pages 1630-1637.
    133. 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.
    134. Neri Salvadori (ed.), 2010. "Institutional and Social Dynamics of Growth and Distribution," Books, Edward Elgar Publishing, number 13365.
    135. Weisbuch, Gérard & Battiston, Stefano, 2007. "From production networks to geographical economics," Journal of Economic Behavior & Organization, Elsevier, vol. 64(3-4), pages 448-469.
    136. 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.
    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. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    139. 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.
    140. 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.
    141. Oldham, Matthew, 2020. "Quantifying the concerns of Dimon and Buffett with data and computation," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    142. 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).
    143. 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.
    144. 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).
    145. 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.
    146. 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.
    147. 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).
    148. Gross, Marco, 2022. "Beautiful cycles: A theory and a model implying a curious role for interest," Economic Modelling, Elsevier, vol. 106(C).
    149. Ichiro Takahashi, 2021. "An Artificial Wicksell—Keynes Macroeconomy," Springer Books, Springer, number 978-981-16-6839-5, June.
    150. 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).
    151. Paul De Grauwe, 2012. "Lectures on Behavioral Macroeconomics," Economics Books, Princeton University Press, edition 1, volume 1, number 9891.
    152. 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.
    153. 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.
    154. 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.
    155. 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.
    156. 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.
    157. 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.
    158. 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.
    159. 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.
    160. 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.
    161. Silvano Cincotti & Wolfram Elsner & Nathalie Lazaric & Anastasia Nesvetailova & Engelbert Stockhammer, 2020. "Towards an evolutionary political economy. Editorial to the inaugural issue of the Review of Evolutionary Political Economy REPE," Review of Evolutionary Political Economy, Springer, vol. 1(1), pages 1-12, May.
    162. 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.
    163. 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.
    164. 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.
    165. 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.
    166. 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.
    167. Andrea Borsato, 2021. "Simple Matching Protocols for Agent-based Models," Working Papers of BETA 2021-35, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    168. 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).
    169. 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.
    170. 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.
    171. Mauro Napoletano & Eric Guerci & Nobuyuki Hanaki, 2018. "Recent advances in financial networks and agent-based model validation," Post-Print hal-02299235, HAL.
    172. Hiroyasu Inoue, 2021. "Propagation of International Supply-Chain Disruptions between Firms in a Country," JRFM, MDPI, vol. 14(10), pages 1-14, October.
    173. 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.
    174. 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.
    175. 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.
    176. Heinrich, Torsten, 2015. "A Discontinuity Model of Technological Change: Catastrophe Theory and Network Structure," MPRA Paper 68089, University Library of Munich, Germany.
    177. 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.
    178. 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.
    179. 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.
    180. 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.
    181. 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.
    182. 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.
    183. 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.
    184. 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.
    185. 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.
    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.

  20. 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. Matteo Richiardi, 2006. "Toward a Non-Equilibrium Unemployment Theory," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 421-446, November.
    2. 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.
    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).

  21. 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.
  22. 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. Wright, Ian, 2008. "Implicit Microfoundations for Macroeconomics," Economics Discussion Papers 2008-41, Kiel Institute for the World Economy (IfW Kiel).
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.

  23. 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. Yuichi Ikeda & Hideaki Aoyama & Hiroshi Iyetomi & Yoshi Fujiwara & Wataru Souma & Taisei Kaizoji, 2006. "Response of Firm Agent Network to Exogenous Shock," Papers physics/0607287, arXiv.org.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    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. Sun, Churen & Zhang, Tao, 2012. "Export, Productivity Pattern, and Firm Size Distribution," MPRA Paper 36742, University Library of Munich, Germany.
    11. 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.
    12. 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.
    13. 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.
    14. Wang Dahui & Zhou Li & Di Zengru, 2005. "Bipartite Producer-Consumer Networks and the Size Distribution of Firms," Papers physics/0507163, arXiv.org.
    15. 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.
    16. 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.
    17. 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.
    18. 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.

  24. 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. 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.
    2. 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.
    3. 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.
    4. 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).
    5. Funashima, Yoshito, 2016. "Governmentally amplified output volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 469-478.
    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. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    8. 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.
    9. 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).
    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. 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.

  25. 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. 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.
    2. Blair Fix, 2018. "Hierarchy and the power-law income distribution tail," Journal of Computational Social Science, Springer, vol. 1(2), pages 471-491, September.
    3. 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.
    4. Andrea Monaco & Matteo Ghio & Adamaria Perrotta, 2024. "Wealth dynamics in a multi-aggregate closed monetary system," Papers 2401.09871, arXiv.org.
    5. 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).
    6. Diego Garlaschelli & Maria I. Loffredo, 2007. "Effects of network topology on wealth distributions," Papers 0711.4710, arXiv.org, revised Jan 2008.
    7. 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.
    8. 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.
    9. 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.
    10. Anirban Ghatak & Sudarshan Iyengar, 2014. "Corruption Breeds Corruption," Studies in Microeconomics, , vol. 2(1), pages 121-132, June.
    11. 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.
    12. Jia Shao & Plamen Ch. Ivanov & Boris Podobnik & H. Eugene Stanley, 2007. "Quantitative relations between corruption and economic factors," Papers 0705.0161, arXiv.org.
    13. 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.
    14. 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.
    15. Alexander M. Petersen & Boris Podobnik & Davor Horvatic & H. Eugene Stanley, 2010. "Scale invariant properties of public debt growth," Papers 1002.2491, arXiv.org.
    16. 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.
    17. 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.
    18. 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.
    19. 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).
    20. 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.
    21. Tomson Ogwang, 2011. "Power laws in top wealth distributions: evidence from Canada," Empirical Economics, Springer, vol. 41(2), pages 473-486, October.

Chapters

  1. 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.

  2. 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.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.