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Andrea Teglio

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.

Working papers

  1. Bertani, Filippo & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "Digital Innovation and its Potential Consequences: the Elasticity Augmenting Approach," MPRA Paper 105326, University Library of Munich, Germany.

    Cited by:

    1. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.

  2. Bertani, Filippo & Raberto, Marco & Teglio, Andrea, 2020. "The Productivity and Unemployment Effects of the Digital Transformation: an Empirical and Modelling Assessment," MPRA Paper 98233, University Library of Munich, Germany.

    Cited by:

    1. Herbert Dawid & Michael Neugart, 2023. "Effects of technological change and automation on industry structure and (wage-)inequality: insights from a dynamic task-based model," Journal of Evolutionary Economics, Springer, vol. 33(1), pages 35-63, January.
    2. Saeed Nosratabadi & Thabit Atobishi & Szilard HegedHus, 2023. "Social Sustainability of Digital Transformation: Empirical Evidence from EU-27 Countries," Papers 2305.16088, arXiv.org.
    3. Gebs, Mehdi & Nabi, Mahmoud Sami, 2021. "The economic impacts of digitalization through an extended input-output model: theory and application to Tunisia," MPRA Paper 113299, University Library of Munich, Germany.
    4. Florent Bordot & Andre Lorentz, 2021. "Automation and labor market polarization in an evolutionary model with heterogeneous workers," LEM Papers Series 2021/32, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Jacopo Di Domenico & Alberto Russo, 2022. "Innovation, growth, and productivity appropriation. How the elites learned to stop worrying and love public debt," Working Papers 2022/12, Economics Department, Universitat Jaume I, Castellón (Spain).
    6. Katarzyna Gruszka & Manuel Scholz-Wäckerle & Ernest Aigner, 2020. "Planetary carambolage: The evolutionary political economy of technology, nature and work," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 273-293, November.
    7. Pengyu Chen & Yuanyuan Hao, 2022. "Digital transformation and corporate environmental performance: The moderating role of board characteristics," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(5), pages 1757-1767, September.
    8. Dosi, G. & Pereira, M.C. & Roventini, A. & Virgillito, M.E., 2022. "Technological paradigms, labour creation and destruction in a multi-sector agent-based model," Research Policy, Elsevier, vol. 51(10).
    9. Yasin Yilmaz, 2021. "Transition to the Digital Economy, Its Measurement and the Relationship between Digitalization and Productivity," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 71(1), pages 283-316, June.
    10. Lei Wang & Shibo Liu & Wanfang Xiong, 2022. "The Impact of Digital Transformation on Corporate Environment Performance: Evidence from China," IJERPH, MDPI, vol. 19(19), pages 1-19, October.
    11. Marcello Nieddu & Filippo Bertani & Linda Ponta, 2022. "The sustainability transition and the digital transformation: two challenges for agent-based macroeconomic models," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 193-226, April.

  3. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "The complexity of the intangible digital economy: an agent-based model," MPRA Paper 97071, University Library of Munich, Germany.

    Cited by:

    1. Herbert Dawid & Michael Neugart, 2023. "Effects of technological change and automation on industry structure and (wage-)inequality: insights from a dynamic task-based model," Journal of Evolutionary Economics, Springer, vol. 33(1), pages 35-63, January.
    2. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    3. Xing, Jack Linzhou & Sharif, Naubahar, 2020. "From creative destruction to creative appropriation: A comprehensive framework," Research Policy, Elsevier, vol. 49(7).
    4. Yuan Wu & Ziwei Li, 2024. "Digital transformation, entrepreneurship, and disruptive innovation: evidence of corporate digitalization in China from 2010 to 2021," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    5. Ponta, Linda & Puliga, Gloria & Lazzarotti, Valentina & Manzini, Raffaella & Cincotti, Silvano, 2023. "To copatent or not to copatent: An agent-based model for firms facing this dilemma," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1349-1363.
    6. Salvi, Antonio & Vitolla, Filippo & Rubino, Michele & Giakoumelou, Anastasia & Raimo, Nicola, 2021. "Online information on digitalisation processes and its impact on firm value," Journal of Business Research, Elsevier, vol. 124(C), pages 437-444.
    7. Xu, Shengxiang & Chen, Hsinghung & Dong, Shuli & Guo, Zizheng, 2023. "Can upgrading information infrastructure improve the innovation ability of companies? Empirical evidence from China," Telecommunications Policy, Elsevier, vol. 47(6).
    8. Yang Li & An-Chi Liu & Shu-Mei Wang & Yiting Zhan & Jingran Chen & Hsiao-Fen Hsiao, 2022. "A Study of Total-Factor Energy Efficiency for Regional Sustainable Development in China: An Application of Bootstrapped DEA and Clustering Approach," Energies, MDPI, vol. 15(9), pages 1-13, April.
    9. Shouwu Jing & Feijie Wu & Enyi Shi & Xinhui Wu & Minzhe Du, 2023. "Does the Digital Economy Promote the Reduction of Urban Carbon Emission Intensity?," IJERPH, MDPI, vol. 20(4), pages 1-22, February.
    10. Silvano Cincotti & Marco Raberto & Andrea Teglio, 2022. "Why do we need agent-based macroeconomics?," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 5-29, April.
    11. Domenico Delli Gatti & Roberta Terranova & Enrico Maria Turco, 2023. "Mind the Knowledge Gap! The Origins of Declining Business Dynamism in a Macro Agent-Based Model," CESifo Working Paper Series 10694, CESifo.
    12. Wei Zhang & Siqi Zhao & Xiaoyu Wan & Yuan Yao, 2021. "Study on the effect of digital economy on high-quality economic development in China," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-27, September.
    13. Samuli Laato & Matti Mäntymäki & A. K.M. Najmul Islam & Sami Hyrynsalmi & Teemu Birkstedt, 2023. "Trends and Trajectories in the Software Industry: implications for the future of work," Information Systems Frontiers, Springer, vol. 25(2), pages 929-944, April.
    14. LIU, Nian & GU, Xinhua & LEI, Chun Kwok, 2022. "The equilibrium effects of digital technology on banking, production, and employment," Finance Research Letters, Elsevier, vol. 49(C).
    15. Qinqin Wu & Mengjie Bi & Faiza Siddiqui & Yao Tang, 2023. "Assessing the Impact of Digital Trade on Enterprise Competitiveness: Evidence from Chinese A-Share Listed Companies," Journal of Industry, Competition and Trade, Springer, vol. 23(3), pages 329-362, December.
    16. Chen Ren & Sang-Joon Lee & Chenxi Hu, 2023. "Digitalization Improves Enterprise Performance: New Evidence by Text Analysis," SAGE Open, , vol. 13(2), pages 21582440231, May.

  4. Mazzocchetti, Andrea & Lauretta, Eliana & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2018. "Systemic Financial Risk Indicators and Securitised Assets: an Agent-Based Framework," MPRA Paper 89779, University Library of Munich, Germany.

    Cited by:

    1. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    2. Eliana Lauretta & Sajid M. Chaudhry & Daniel Santamaria, 2023. "Unveiling the black swan of the finance‐growth Nexus: Assumptions and preliminary evidence of virtuous and unvirtuous cycles," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3749-3773, October.
    3. Irene Monasterolo & Nepomuk Dunz & Andrea Mazzocchetti & Régis Gourdel, 2022. "Derisking the low-carbon transition: investors’ reaction to climate policies, decarbonization and distributive effects," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 31-71, April.

  5. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.

    Cited by:

    1. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    2. Mattia Guerini & Francesco Lamperti & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2022. "Unconventional monetary policies in an agent-based model with mark-to-market standards," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 73-107, April.
    3. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    4. Catullo, Ermanno & Giri, Federico & Gallegati, Mauro, 2021. "Macro- And Microprudential Policies: Sweet And Lowdown In A Credit Network Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 25(5), pages 1227-1246, July.
    5. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "The complexity of the intangible digital economy: an agent-based model," MPRA Paper 97071, University Library of Munich, Germany.
    6. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "An economy under the digital transformation," MPRA Paper 94205, University Library of Munich, Germany.
    7. Carlos M. Fernández-Márquez & Matías Fuentes & Juan José Martínez & Francisco J. Vázquez, 2021. "Productivity and unemployment: an ABM approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 133-151, January.
    8. Botta, Alberto & Caverzasi, Eugenio & Russo, Alberto & Gallegati, Mauro & Stiglitz, Joseph E., 2021. "Inequality and finance in a rent economy," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 998-1029.
    9. Phillip Anthony O’Hara, 2021. "Objectives of the Review of Evolutionary Political Economy’s ‘Manifesto’ and editorial proposals on world problems, complex systems, historico-institutional and corruption issues," Review of Evolutionary Political Economy, Springer, vol. 2(2), pages 359-387, July.
    10. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harré, 2021. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large-scale agent-based model," SN Business & Economics, Springer, vol. 1(6), pages 1-21, June.
    11. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," SciencePo Working papers Main hal-03399668, HAL.
    12. Irene Monasterolo & Nepomuk Dunz & Andrea Mazzocchetti & Régis Gourdel, 2022. "Derisking the low-carbon transition: investors’ reaction to climate policies, decarbonization and distributive effects," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 31-71, April.
    13. Chen, Siyan & Desiderio, Saul, 2019. "Job duration and inequality," Economics Discussion Papers 2019-44, Kiel Institute for the World Economy (IfW Kiel).
    14. Mazzocchetti, Andrea & Lauretta, Eliana & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2018. "Systemic Financial Risk Indicators and Securitised Assets: an Agent-Based Framework," MPRA Paper 89779, University Library of Munich, Germany.
    15. 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.
    16. Bertani, Filippo & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "Digital Innovation and its Potential Consequences: the Elasticity Augmenting Approach," MPRA Paper 105326, University Library of Munich, Germany.
    17. Kirill V. Rostislav & Yury Yu. Ponomarev & Darya M. Radchenko, 2022. "Имитационная Пространственная Модель Развития Российских Городов," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 5, pages 20-33, May.
    18. Silvano Cincotti & Marco Raberto & Andrea Teglio, 2022. "Why do we need agent-based macroeconomics?," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 5-29, April.
    19. Kirill V. Rostislav & Yury Yu. Ponomarev & Darya M. Radchenko, 2022. "Simulated Spatial Model of Russian Urban Development [Имитационная Пространственная Модель Развития Российских Городов]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 5, pages 20-33, May.
    20. Davide Bazzana, 2020. "Ageing population and pension system sustainability: reforms and redistributive implications," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(3), pages 971-992, October.

  6. Marko Petrovic & Bulent Ozel & Andrea Teglio & Marco Raberto & Silvano Cincotti, 2017. "Eurace Open: An agent-based multi-country model," Working Papers 2017/09, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    2. Cathal O'Donoghue & Gijs Dekkers, 2018. "Increasing the Impact of Dynamic Microsimulation Modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 61-96.
    3. Mauro Napoletano, 2018. "A Short Walk on the Wild Side: Agent-Based Models and their Implications for Macroeconomic Analysis," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(3), pages 257-281.
    4. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    5. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "The complexity of the intangible digital economy: an agent-based model," MPRA Paper 97071, University Library of Munich, Germany.
    6. Giovanni Dosi & Andrea Roventini & Emmanuele Russo, 2018. "Endogenous growth and global divergence in a multi-country agent - based model," Sciences Po publications 2018-02, Sciences Po.
    7. 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.
    8. Mazzocchetti, Andrea & Lauretta, Eliana & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2018. "Systemic Financial Risk Indicators and Securitised Assets: an Agent-Based Framework," MPRA Paper 89779, University Library of Munich, Germany.
    9. Bertani, Filippo & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "Digital Innovation and its Potential Consequences: the Elasticity Augmenting Approach," MPRA Paper 105326, University Library of Munich, Germany.
    10. Alessandro Caiani & Ermanno Catullo, 2023. "Fiscal Transfers and Common Debt in a Monetary Union: A Multi-Country Agent Based-Stock Flow Consistent Model," LEM Papers Series 2023/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. Caiani, Alessandro & Catullo, Ermanno & Gallegati, Mauro, 2019. "The effects of alternative wage regimes in a monetary union: A multi-country agent based-stock flow consistent model," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 389-416.

  7. Barreda Tarrazona, Iván J. & Grimalda, Gianluca & Morone, Andrea & Nuzzo, Simone & Teglio, Andrea, 2017. "Centralizing information improves market efficiency more than increasing information: Results from experimental asset markets," Kiel Working Papers 2072, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Andrea Morone & Simone Nuzzo, 2016. "Asset markets in the lab: A literature review," Working Papers 2016/10, Economics Department, Universitat Jaume I, Castellón (Spain).
    2. Corgnet, Brice & DeSantis, Mark & Porter, David, 2020. "The distribution of information and the price efficiency of markets," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    3. Rocco Caferra & Simone Nuzzo & Andrea Morone, 2023. "“Less is more” or “more is better”? The effect of asymmetric information distribution on market efficiency and wealth inequality," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 233-250, April.
    4. Morone, Andrea & Caferra, Rocco, 2020. "Inequalities in financial markets: Evidences from a laboratory experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 88(C).
    5. Robert Merl, 2021. "Literature Review of Experimental Asset Markets with Insiders," Working Paper Series, Social and Economic Sciences 2021-04, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
    6. Merl, Robert, 2022. "Literature review of experimental asset markets with insiders," Journal of Behavioral and Experimental Finance, Elsevier, vol. 33(C).

  8. Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2016. "Macroeconomic implications of mortgage loans requirements: An agent based approach," Working Papers 2016/05, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. Ruben Tarne & Dirk Bezemer & Thomas Theobald, 2021. "The Effect of borrower-specific Loan-to-Value policies on household debt, wealth inequality and consumption volatility," FMM Working Paper 70-2021, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    2. Bernardo Alves Furtado, 2022. "PolicySpace2: Modeling Markets and Endogenous Public Policies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 25(1), pages 1-8.
    3. Farmer, J. Doyne & Carro, Adrian & Hinterschweiger, Marc & Uluc, Arzu, 2022. "Heterogeneous Effects and Spillovers of Macroprudential Policy in an Agent-Based Model of the UK Housing Market," INET Oxford Working Papers 2022-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    4. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
    5. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    6. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "The complexity of the intangible digital economy: an agent-based model," MPRA Paper 97071, University Library of Munich, Germany.
    7. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "An economy under the digital transformation," MPRA Paper 94205, University Library of Munich, Germany.
    8. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," SciencePo Working papers Main hal-03399668, HAL.
    9. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2016. "An agent-based stock-flow consistent model of the sustainable transition in the energy sector," MPRA Paper 73183, University Library of Munich, Germany.
    10. Mazzocchetti, Andrea & Lauretta, Eliana & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2018. "Systemic Financial Risk Indicators and Securitised Assets: an Agent-Based Framework," MPRA Paper 89779, University Library of Munich, Germany.
    11. Tarne, Ruben & Bezemer, Dirk & Theobald, Thomas, 2022. "The effect of borrower-specific loan-to-value policies on household debt, wealth inequality and consumption volatility: An agent-based analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    12. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    13. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2016. "From financial instability to green finance: the role of banking and monetary policies in the Eurace model," Working Papers 2016/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    14. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    15. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.
    16. Mérő, Bence & Vágó, Nikolett, 2018. "Keresletvezérelt lakáspiaci modell a lakáshitelezést szabályozó makro prudenciális eszközök tanulmányozására [A demand-led model of the housing market for studying the macro-prudential means of reg," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1115-1153.
    17. Mérő, Bence & Borsos, András & Hosszú, Zsuzsanna & Oláh, Zsolt & Vágó, Nikolett, 2023. "A high-resolution, data-driven agent-based model of the housing market," Journal of Economic Dynamics and Control, Elsevier, vol. 155(C).
    18. Marcello Nieddu & Filippo Bertani & Linda Ponta, 2022. "The sustainability transition and the digital transformation: two challenges for agent-based macroeconomic models," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 193-226, April.

  9. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2016. "An agent-based stock-flow consistent model of the sustainable transition in the energy sector," MPRA Paper 73183, University Library of Munich, Germany.

    Cited by:

    1. Sizhou Sun & Lisheng Wei & Jie Xu & Zhenni Jin, 2019. "A New Wind Speed Forecasting Modeling Strategy Using Two-Stage Decomposition, Feature Selection and DAWNN," Energies, MDPI, vol. 12(3), pages 1-24, January.
    2. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni & Tania Treibich, 2021. "Three green financial policies to address climate risks," Post-Print hal-04103920, HAL.
    3. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2023. "Energy price shocks and stabilization policies in the MATRIX model," Energy Policy, Elsevier, vol. 177(C).
    4. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2017. "Faraway, so close : coupled climate and economic dynamics in an agent-based integrated assessment model," Sciences Po publications info:hdl:2441/4hs7liq1f49, Sciences Po.
    5. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2018. "And then he wasn't a she : Climate change and green transitions in an agent-based integrated assessment model," SciencePo Working papers Main hal-03443464, HAL.
    6. Imran Khan & Faheem Ur Rehman & Paula Pypłacz & Muhammad Asif Khan & Agnieszka Wiśniewska & Katarzyna Liczmańska-Kopcewicz, 2021. "A Dynamic Linkage between Financial Development, Energy Consumption and Economic Growth: Evidence from an Asymmetric and Nonlinear ARDL Model," Energies, MDPI, vol. 14(16), pages 1-15, August.
    7. Pavlović, Boban & Ivezić, Dejan & Živković, Marija, 2022. "Transition pathways of household heating in Serbia: Analysis based on an agent-based model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    8. Łukasz Jarosław Kozar & Robert Matusiak & Marta Paduszyńska & Adam Sulich, 2022. "Green Jobs in the EU Renewable Energy Sector: Quantile Regression Approach," Energies, MDPI, vol. 15(18), pages 1-21, September.
    9. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
    10. Jean-François Fagnart & Marc Germain & Benjamin Peeters, 2020. "Can the Energy Transition Be Smooth? A General Equilibrium Approach to the EROEI," Sustainability, MDPI, vol. 12(3), pages 1-29, February.
    11. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    12. Tommaso Ciarli & Karolina Safarzynska, 2020. "Sustainability and Industrial Challenge: The Hindering Role of Complexity," SPRU Working Paper Series 2020-18, SPRU - Science Policy Research Unit, University of Sussex Business School.
    13. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "The complexity of the intangible digital economy: an agent-based model," MPRA Paper 97071, University Library of Munich, Germany.
    14. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "An economy under the digital transformation," MPRA Paper 94205, University Library of Munich, Germany.
    15. Monasterolo, Irene & Raberto, Marco, 2018. "The EIRIN Flow-of-funds Behavioural Model of Green Fiscal Policies and Green Sovereign Bonds," Ecological Economics, Elsevier, vol. 144(C), pages 228-243.
    16. Giovanni Dosi & Andrea Roventini, 2019. "More is Different ... and Complex! The Case for Agent-Based Macroeconomics," LEM Papers Series 2019/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    17. Ciarli, Tommaso & Savona, Maria, 2019. "Modelling the Evolution of Economic Structure and Climate Change: A Review," Ecological Economics, Elsevier, vol. 158(C), pages 51-64.
    18. D'Adamo, Idiano & Gastaldi, Massimo & Morone, Piergiuseppe, 2022. "Solar collective self-consumption: Economic analysis of a policy mix," Ecological Economics, Elsevier, vol. 199(C).
    19. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," SciencePo Working papers Main hal-03399668, HAL.
    20. Tim Stoffel & Carol Cravero & Annamaria La Chimia & Geo Quinot, 2019. "Multidimensionality of Sustainable Public Procurement (SPP)—Exploring Concepts and Effects in Sub-Saharan Africa and Europe," Sustainability, MDPI, vol. 11(22), pages 1-24, November.
    21. G. Dosi & F. Lamperti & Mauro Napoletano & A. Roventini & A. Sapio, 2020. "Climate change and green transitions in an agent-based integrated assessment model," SciencePo Working papers Main halshs-03046932, HAL.
    22. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2022. "Energy price shocks and stabilization policies in a multi-agent macroeconomic model for the Euro Area," FEEM Working Papers 324171, Fondazione Eni Enrico Mattei (FEEM).
    23. Chiou-Jye Huang & Ping-Huan Kuo, 2018. "A Short-Term Wind Speed Forecasting Model by Using Artificial Neural Networks with Stochastic Optimization for Renewable Energy Systems," Energies, MDPI, vol. 11(10), pages 1-20, October.
    24. Irene Monasterolo & Nepomuk Dunz & Andrea Mazzocchetti & Régis Gourdel, 2022. "Derisking the low-carbon transition: investors’ reaction to climate policies, decarbonization and distributive effects," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 31-71, April.
    25. Mazzocchetti, Andrea & Lauretta, Eliana & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2018. "Systemic Financial Risk Indicators and Securitised Assets: an Agent-Based Framework," MPRA Paper 89779, University Library of Munich, Germany.
    26. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    27. Mikael Randrup Byrialsen & Hamid Raza, "undated". "An Empirical Stock-Flow Consistent Macroeconomic Model for Denmark," Economics Working Paper Archive wp_942, Levy Economics Institute.
    28. Bertani, Filippo & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "Digital Innovation and its Potential Consequences: the Elasticity Augmenting Approach," MPRA Paper 105326, University Library of Munich, Germany.
    29. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    30. Zhang, Zhouyi & Song, Yi & Cheng, Jinhua & Zhang, Yijun, 2023. "Effects of heterogeneous ICT on critical metal supply: A differentiated perspective on primary and secondary supply," Resources Policy, Elsevier, vol. 83(C).
    31. Srete Nikolovski & Hamid Reza Baghaee & Dragan Mlakić, 2018. "ANFIS-Based Peak Power Shaving/Curtailment in Microgrids Including PV Units and BESSs," Energies, MDPI, vol. 11(11), pages 1-23, October.
    32. Mura, Matteo & Longo, Mariolina & Toschi, Laura & Zanni, Sara & Visani, Franco & Bianconcini, Silvia, 2021. "The role of geographical scales in sustainability transitions: An empirical investigation of the European industrial context," Ecological Economics, Elsevier, vol. 183(C).
    33. Philip Chukwunonso Bosah & Shixiang Li & Gideon Kwaku Minua Ampofo & Daniel Akwasi Asante & Zhanqi Wang, 2020. "The Nexus Between Electricity Consumption, Economic Growth, and CO 2 Emission: An Asymmetric Analysis Using Nonlinear ARDL and Nonparametric Causality Approach," Energies, MDPI, vol. 13(5), pages 1-24, March.
    34. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    35. Juan Yang & Mirza Nasir Jahan Mehdi & Muhammad Hafeez & Md. Abdul Kaium & Raufhon Salahodjaev, 2023. "Financial Indicators’ Performance and Green Financing Projects: A Comparative Study from PSX and NYSX," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
    36. Dunz, Nepomuk & Hrast Essenfelder, Arthur & Mazzocchetti, Andrea & Monasterolo, Irene & Raberto, Marco, 2023. "Compounding COVID-19 and climate risks: The interplay of banks’ lending and government’s policy in the shock recovery," Journal of Banking & Finance, Elsevier, vol. 152(C).
    37. Monasterolo, Irene & Raberto, Marco, 2019. "The impact of phasing out fossil fuel subsidies on the low-carbon transition," Energy Policy, Elsevier, vol. 124(C), pages 355-370.
    38. Silvano Cincotti & Marco Raberto & Andrea Teglio, 2022. "Why do we need agent-based macroeconomics?," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 5-29, April.
    39. Daniel Ganea & Elena Mereuta & Liliana Rusu, 2018. "Estimation of the Near Future Wind Power Potential in the Black Sea," Energies, MDPI, vol. 11(11), pages 1-21, November.
    40. Philip Alege & Queen-Esther Oye & Omobola Adu, 2019. "Renewable Energy, Shocks and the Growth Agenda: A Dynamic Stochastic General Equilibrium Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 9(1), pages 160-167.
    41. Coester, Andreas & Hofkes, Marjan W. & Papyrakis, Elissaios, 2018. "Economics of renewable energy expansion and security of supply: A dynamic simulation of the German electricity market," Applied Energy, Elsevier, vol. 231(C), pages 1268-1284.
    42. Rafik Nafkha & Krzysztof Gajowniczek & Tomasz Ząbkowski, 2018. "Do Customers Choose Proper Tariff? Empirical Analysis Based on Polish Data Using Unsupervised Techniques," Energies, MDPI, vol. 11(3), pages 1-17, February.
    43. Francesco Lamperti & Andrea Roventini, 2022. "Beyond climate economics orthodoxy: impacts and policies in the agent-based integrated-assessment DSK model," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 19(3), pages 357-380, December.
    44. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.
    45. Linda Ponta & Silvano Cincotti, 2018. "Traders’ Networks of Interactions and Structural Properties of Financial Markets: An Agent-Based Approach," Complexity, Hindawi, vol. 2018, pages 1-9, January.
    46. Hafner, Sarah & Anger-Kraavi, Annela & Monasterolo, Irene & Jones, Aled, 2020. "Emergence of New Economics Energy Transition Models: A Review," Ecological Economics, Elsevier, vol. 177(C).
    47. Wei Dong & Qiang Yang & Xinli Fang, 2018. "Multi-Step Ahead Wind Power Generation Prediction Based on Hybrid Machine Learning Techniques," Energies, MDPI, vol. 11(8), pages 1-19, July.
    48. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2022. "Charging the macroeconomy with an energy sector: an agent-based model," FEEM Working Papers 319877, Fondazione Eni Enrico Mattei (FEEM).
    49. Raúl Arango-Miranda & Robert Hausler & Rabindranarth Romero-Lopez & Mathias Glaus & Sara P. Ibarra-Zavaleta, 2018. "Carbon Dioxide Emissions, Energy Consumption and Economic Growth: A Comparative Empirical Study of Selected Developed and Developing Countries. “The Role of Exergy”," Energies, MDPI, vol. 11(10), pages 1-16, October.
    50. Barazza, Elsa & Strachan, Neil, 2020. "The impact of heterogeneous market players with bounded-rationality on the electricity sector low-carbon transition," Energy Policy, Elsevier, vol. 138(C).
    51. Stolbova, Veronika & Monasterolo, Irene & Battiston, Stefano, 2018. "A Financial Macro-Network Approach to Climate Policy Evaluation," Ecological Economics, Elsevier, vol. 149(C), pages 239-253.
    52. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2023. "Enter the MATRIX model:a Multi-Agent model for Transition Risks with application to energy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    53. Jian Yang & Xin Zhao & Haikun Wei & Kanjian Zhang, 2019. "Sample Selection Based on Active Learning for Short-Term Wind Speed Prediction," Energies, MDPI, vol. 12(3), pages 1-12, January.
    54. Zigui Jiang & Rongheng Lin & Fangchun Yang, 2018. "A Hybrid Machine Learning Model for Electricity Consumer Categorization Using Smart Meter Data," Energies, MDPI, vol. 11(9), pages 1-19, August.
    55. Jianzhong Zhou & Han Liu & Yanhe Xu & Wei Jiang, 2018. "A Hybrid Framework for Short Term Multi-Step Wind Speed Forecasting Based on Variational Model Decomposition and Convolutional Neural Network," Energies, MDPI, vol. 11(9), pages 1-18, August.
    56. Muhammad Waseem Ahmad & Anthony Mouraud & Yacine Rezgui & Monjur Mourshed, 2018. "Deep Highway Networks and Tree-Based Ensemble for Predicting Short-Term Building Energy Consumption," Energies, MDPI, vol. 11(12), pages 1-21, December.
    57. Dunz, Nepomuk & Naqvi, Asjad & Monasterolo, Irene, 2021. "Climate sentiments, transition risk, and financial stability in a stock-flow consistent model," Journal of Financial Stability, Elsevier, vol. 54(C).
    58. Wang, Baixue & Duan, Maosheng, 2022. "Consignment auctions of emissions trading systems: An agent-based approach based on China’s practice," Energy Economics, Elsevier, vol. 112(C).
    59. Marcello Nieddu & Filippo Bertani & Linda Ponta, 2022. "The sustainability transition and the digital transformation: two challenges for agent-based macroeconomic models," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 193-226, April.
    60. Feihu Hu & Xuan Feng & Hui Cao, 2018. "A Short-Term Decision Model for Electricity Retailers: Electricity Procurement and Time-of-Use Pricing," Energies, MDPI, vol. 11(12), pages 1-18, November.
    61. Masoud Ahmadipour & Hashim Hizam & Mohammad Lutfi Othman & Mohd Amran Mohd Radzi, 2018. "An Anti-Islanding Protection Technique Using a Wavelet Packet Transform and a Probabilistic Neural Network," Energies, MDPI, vol. 11(10), pages 1-31, October.
    62. Patrick Mellacher & Timon Scheuer, 2021. "Wage Inequality, Labor Market Polarization and Skill-Biased Technological Change: An Evolutionary (Agent-Based) Approach," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 233-278, August.

  10. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2016. "From financial instability to green finance: the role of banking and monetary policies in the Eurace model," Working Papers 2016/07, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," SciencePo Working papers Main hal-03399668, HAL.
    2. Auke Hoekstra & Maarten Steinbuch & Geert Verbong, 2017. "Creating Agent-Based Energy Transition Management Models That Can Uncover Profitable Pathways to Climate Change Mitigation," Complexity, Hindawi, vol. 2017, pages 1-23, December.
    3. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.

  11. Marko Petrovic & Andrea Teglio & Simone Alfarano, 2016. "The role of bank credit allocation: Evidence from the Spanish economy," Working Papers 2016/17, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. Marko Petrovic & Bulent Ozel & Andrea Teglio & Marco Raberto & Silvano Cincotti, 2017. "Eurace Open: An agent-based multi-country model," Working Papers 2017/09, Economics Department, Universitat Jaume I, Castellón (Spain).

  12. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    2. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2023. "Energy price shocks and stabilization policies in the MATRIX model," Energy Policy, Elsevier, vol. 177(C).
    3. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
    4. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    5. 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.
    6. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "The complexity of the intangible digital economy: an agent-based model," MPRA Paper 97071, University Library of Munich, Germany.
    7. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "An economy under the digital transformation," MPRA Paper 94205, University Library of Munich, Germany.
    8. Giovanni Dosi & Andrea Roventini, 2019. "More is Different ... and Complex! The Case for Agent-Based Macroeconomics," LEM Papers Series 2019/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Ciarli, Tommaso & Savona, Maria, 2019. "Modelling the Evolution of Economic Structure and Climate Change: A Review," Ecological Economics, Elsevier, vol. 158(C), pages 51-64.
    10. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," SciencePo Working papers Main hal-03399668, HAL.
    11. 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.
    12. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2022. "Energy price shocks and stabilization policies in a multi-agent macroeconomic model for the Euro Area," FEEM Working Papers 324171, Fondazione Eni Enrico Mattei (FEEM).
    13. Ponta, Linda & Puliga, Gloria & Lazzarotti, Valentina & Manzini, Raffaella & Cincotti, Silvano, 2023. "To copatent or not to copatent: An agent-based model for firms facing this dilemma," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1349-1363.
    14. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2016. "An agent-based stock-flow consistent model of the sustainable transition in the energy sector," MPRA Paper 73183, University Library of Munich, Germany.
    15. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2022. "Dynamic simulation of taxes and welfare benefits by database imputation," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA3/22, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    16. Mazzocchetti, Andrea & Lauretta, Eliana & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2018. "Systemic Financial Risk Indicators and Securitised Assets: an Agent-Based Framework," MPRA Paper 89779, University Library of Munich, Germany.
    17. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    18. Papadopoulos, Georgios, 2020. "Probing the mechanism: lending rate setting in a data-driven agent-based model," MPRA Paper 102749, University Library of Munich, Germany.
    19. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2016. "From financial instability to green finance: the role of banking and monetary policies in the Eurace model," Working Papers 2016/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    20. Bertani, Filippo & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "Digital Innovation and its Potential Consequences: the Elasticity Augmenting Approach," MPRA Paper 105326, University Library of Munich, Germany.
    21. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    22. Bardoscia, Marco & Carro, Adrian & Hinterschweiger, Marc & Napoletano, Mauro & Popoyan, Lilit & Roventini, Andrea & Uluc, Arzu, 2024. "The impact of prudential regulations on the UK housing market and economy: insights from an agent-based model," Bank of England working papers 1066, Bank of England.
    23. Ermanno Catullo & Mauro Gallegati & Alberto Russo, 2020. "Forecasting in a complex environment: Machine learning sales expectations in a Stock Flow Consistent Agent-Based simulation model," Working Papers 2020/17, Economics Department, Universitat Jaume I, Castellón (Spain).
    24. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    25. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.
    26. Alessandro Caiani & Ermanno Catullo & Mauro Gallegati, 2018. "The effects of fiscal targets in a monetary union: a multi-country agent-based stock flow consistent model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1123-1154.
    27. Severin Reissl, 2022. "Fiscal multipliers, expectations and learning in a macroeconomic agent‐based model," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1704-1729, October.
    28. Marcello Nieddu & Filippo Bertani & Linda Ponta, 2022. "The sustainability transition and the digital transformation: two challenges for agent-based macroeconomic models," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 193-226, April.

  13. Wei Zhang & Xiao Li & Dehua Shen & Andrea Teglio, 2015. "R2 and Idiosyncratic Volatility: Which Captures the Firm-specific Return Variation?," Working Papers 2015/06, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. Shi, Huai-Long & Zhou, Wei-Xing, 2017. "Time series momentum and contrarian effects in the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 309-318.
    2. Cong, Yunyu & Sun, Fangfang & Wang, Fusheng & Ye, Qiang, 2022. "Information assimilation and stock return synchronicity: Evidence from an investor relations management platform," Emerging Markets Review, Elsevier, vol. 53(C).
    3. Xiong, Xiong & Meng, Yongqiang & Li, Xiao & Shen, Dehua, 2020. "Can overnight return really serve as a proxy for firm-specific investor sentiment? Cross-country evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 64(C).
    4. Ahmad Fraz & Arshad Hassan, 2017. "Stock Price Synchronicity and Information Environment," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 9(4), pages 213-232, December.
    5. Shen, Dehua & Li, Xiao & Zhang, Wei, 2018. "Baidu news information flow and return volatility: Evidence for the Sequential Information Arrival Hypothesis," Economic Modelling, Elsevier, vol. 69(C), pages 127-133.
    6. Zhang, Wei & Bi, Zhengzheng & Shen, Dehua, 2017. "Investor structure and the price–volume relationship in a continuous double auction market: An agent-based modeling perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 345-355.
    7. Shen, Dehua & Li, Xiao & Xue, Mei & Zhang, Wei, 2017. "Does microblogging convey firm-specific information? Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 621-626.
    8. Li, Xiao & Xing, Yao, 2023. "When stock return synchronicity meets investor sentiment," Finance Research Letters, Elsevier, vol. 53(C).
    9. Feng, Xunan & Chan, Kam C., 2016. "Information advantage, short sales, and stock returns: Evidence from short selling reform in China," Economic Modelling, Elsevier, vol. 59(C), pages 131-142.
    10. Meng, Yongqiang & Shen, Dehua & Xiong, Xiong, 2023. "When stock price crash risk meets fundamentals," Research in International Business and Finance, Elsevier, vol. 65(C).
    11. Peng, Cheng & Zhu, Huiming & Jia, Xianghua & You, Wanhai, 2017. "Stock price synchronicity to oil shocks across quantiles: Evidence from Chinese oil firms," Economic Modelling, Elsevier, vol. 61(C), pages 248-259.
    12. Todea, Alexandru & Petrescu, Daiana Florina, 2021. "Is stock price informativeness shaped by our genes?," Economic Modelling, Elsevier, vol. 103(C).
    13. Dehua Shen & Wei Zhang, 2021. "Stay-at-Home Stocks Versus Go-Outside Stocks: The Impacts of COVID-19 on the Chinese Stock Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(2), pages 305-318, June.
    14. Chen Chen & M. Mahdi Moeini Gharagozloo & Layla Darougar & Lei Shi, 2022. "The way digitalization is impacting international financial markets: Stock price synchronicity," International Finance, Wiley Blackwell, vol. 25(3), pages 396-415, December.
    15. He, Feng & Qin, Shuqi & Liu, Yuanyuan & Wu, Ji (George), 2022. "CSR and idiosyncratic risk: Evidence from ESG information disclosure," Finance Research Letters, Elsevier, vol. 49(C).
    16. Li, Xiao & Shen, Dehua & Zhang, Wei, 2018. "Do Chinese internet stock message boards convey firm-specific information?," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 1-14.
    17. Chu, Gang & Li, Xiao & Zhang, Yongjie, 2022. "Information demand and net selling around earnings announcement," Research in International Business and Finance, Elsevier, vol. 59(C).
    18. Zhang, Yongjie & Song, Weixin & Shen, Dehua & Zhang, Wei, 2016. "Market reaction to internet news: Information diffusion and price pressure," Economic Modelling, Elsevier, vol. 56(C), pages 43-49.

  14. Holcombe, Mike & Coakley, Simon & Kiran, Mariam & Chin, Shawn & Greenough, Chris & Worth, David & Cincotti, Silvano & Raberto, M. & Teglio, Andrea & Deissenberg, Christophe & Hoog, Sander van der & Da, 2013. "Large-Scale Modeling of Economic Systems," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 62347, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Bence Mérõ, 2019. "Novel Modelling of the Operation of the Financial Intermediary System – Agent-based Macro Models," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 18(3), pages 83-113.
    2. Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Sciences Po publications info:hdl:2441/5fafm6me7k8, Sciences Po.
    3. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    4. Steinbacher, Mitja & Raddant, Matthias & Karimi, Fariba & Camacho-Cuena, Eva & Alfarano, Simone & Iori, Giulia & Lux, Thomas, 2021. "Advances in the Agent-Based Modeling of Economic and Social Behavior," MPRA Paper 107317, University Library of Munich, Germany.
    5. Alessandro Caiani & Ermanno Catullo, 2023. "Fiscal Transfers and Common Debt in a Monetary Union: A Multi-Country Agent Based-Stock Flow Consistent Model," LEM Papers Series 2023/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Silvano Cincotti, 2021. "Facing the complexity of the economy: an opportunity for the new alliance between economics and engineering," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 48(4), pages 581-588, December.
    7. Alessandro Caiani & Ermanno Catullo & Mauro Gallegati, 2018. "The effects of fiscal targets in a monetary union: a multi-country agent-based stock flow consistent model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1123-1154.

  15. Erlingsson, Einar Jon & Cincotti, Silvano & Stefansson, Hlynur & Sturlusson, Jon Thor & Teglio, Andrea & Raberto, Marco, 2013. "Housing market bubbles and business cycles in an agent-based credit economy," Economics Discussion Papers 2013-32, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Cardaci, Alberto, 2018. "Inequality, household debt and financial instability: An agent-based perspective," Journal of Economic Behavior & Organization, Elsevier, vol. 149(C), pages 434-458.
    2. Peter Klimek & Sebastian Poledna & J. Doyne Farmer & Stefan Thurner, 2014. "To bail-out or to bail-in? Answers from an agent-based model," Papers 1403.1548, arXiv.org.
    3. Bence Mérõ, 2019. "Novel Modelling of the Operation of the Financial Intermediary System – Agent-based Macro Models," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 18(3), pages 83-113.
    4. Lauretta, Eliana, 2018. "The hidden soul of financial innovation: An agent-based modelling of home mortgage securitization and the finance-growth nexus," Economic Modelling, Elsevier, vol. 68(C), pages 51-73.
    5. Russo, Alberto, 2016. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," MPRA Paper 77175, University Library of Munich, Germany.
    6. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harré, 2021. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large-scale agent-based model," SN Business & Economics, Springer, vol. 1(6), pages 1-21, June.
    7. Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2016. "Macroeconomic implications of mortgage loans requirements: An agent based approach," Working Papers 2016/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    8. 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.
    9. Khaldoun Khashanah & Talal Alsulaiman, 2017. "Connectivity, Information Jumps, and Market Stability: An Agent-Based Approach," Complexity, Hindawi, vol. 2017, pages 1-16, August.
    10. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2016. "From financial instability to green finance: the role of banking and monetary policies in the Eurace model," Working Papers 2016/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    11. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    12. Kirill V. Rostislav & Yury Yu. Ponomarev & Darya M. Radchenko, 2022. "Имитационная Пространственная Модель Развития Российских Городов," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 5, pages 20-33, May.
    13. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    14. Huub Meijers & Önder Nomaler & Bart Verspagen, 2019. "Demand, credit and macroeconomic dynamics. A micro simulation model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 337-364, March.
    15. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.
    16. Rémi Stellian & Gabriel I. Penagos & Jenny P. Danna-Buitrago, 2021. "Firms in financial distress: evidence from inter-firm payment networks with volatility driven by ‘animal spirits’," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 59-101, January.
    17. Mérő, Bence & Vágó, Nikolett, 2018. "Keresletvezérelt lakáspiaci modell a lakáshitelezést szabályozó makro prudenciális eszközök tanulmányozására [A demand-led model of the housing market for studying the macro-prudential means of reg," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1115-1153.
    18. Baptista, Rafa & Farmer, J. Doyne & Hinterschweiger, Marc & Low, Katie & Tang, Daniel & Uluc, Arzu, 2016. "Macroprudential policy in an agent-based model of the UK housing market," Bank of England working papers 619, Bank of England.
    19. Mérő, Bence & Borsos, András & Hosszú, Zsuzsanna & Oláh, Zsolt & Vágó, Nikolett, 2023. "A high-resolution, data-driven agent-based model of the housing market," Journal of Economic Dynamics and Control, Elsevier, vol. 155(C).
    20. Opeoluwa Banwo & Paul Harrald & Francesca Medda, 2019. "Understanding the consequences of diversification on financial stability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(2), pages 273-292, June.
    21. Andrew G. Haldane & Arthur E. Turrell, 2019. "Drawing on different disciplines: macroeconomic agent-based models," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 39-66, March.

  16. 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).

    Cited by:

    1. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "When more Flexibility Yields more Fragility: the Microfoundations of Keynesian Aggregate Unemployment," LEM Papers Series 2016/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    3. Farmer, J. Doyne & Carro, Adrian & Hinterschweiger, Marc & Uluc, Arzu, 2022. "Heterogeneous Effects and Spillovers of Macroprudential Policy in an Agent-Based Model of the UK Housing Market," INET Oxford Working Papers 2022-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    4. Michel Alexandre & Gilberto Tadeu Lima, 2020. "Combining monetary policy and prudential regulation: an agent-based modeling approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(2), pages 385-411, April.
    5. Catullo, Ermanno & Giri, Federico & Gallegati, Mauro, 2021. "Macro- And Microprudential Policies: Sweet And Lowdown In A Credit Network Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 25(5), pages 1227-1246, July.
    6. 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.
    7. Klára Baková, 2018. "The Financial Accelerator in Europe after the Financial Crisis," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 4(2), pages 143-155.
    8. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Introduction - Improving the Toolbox: New Advances in Agent-Based and Computational Models," Post-Print hal-01053562, HAL.
    9. Lauretta, Eliana, 2018. "The hidden soul of financial innovation: An agent-based modelling of home mortgage securitization and the finance-growth nexus," Economic Modelling, Elsevier, vol. 68(C), pages 51-73.
    10. Sebastian Krug & Matthias Lengnick & Hans-Werner Wohltmann, 2014. "The impact of Basel III on financial (in)stability: an agent-based credit network approach," Quantitative Finance, Taylor & Francis Journals, vol. 15(12), pages 1917-1932, December.
    11. Russo, Alberto, 2016. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," MPRA Paper 77175, University Library of Munich, Germany.
    12. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," SciencePo Working papers Main hal-03399668, HAL.
    13. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2019. "Winter is possibly not coming: mitigating financial instability in an agent-based model with interbank market," SciencePo Working papers Main hal-03403274, HAL.
    14. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Monetary policy and large crises in a financial accelerator agent-based model," FinMaP-Working Papers 65, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    15. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2016. "An agent-based stock-flow consistent model of the sustainable transition in the energy sector," MPRA Paper 73183, University Library of Munich, Germany.
    16. Mazzocchetti, Andrea & Lauretta, Eliana & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2018. "Systemic Financial Risk Indicators and Securitised Assets: an Agent-Based Framework," MPRA Paper 89779, University Library of Munich, Germany.
    17. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).
    18. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    19. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2016. "From financial instability to green finance: the role of banking and monetary policies in the Eurace model," Working Papers 2016/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    20. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    21. Weihong Huang & Yu Zhang, 2017. "Endogenous Fundamental and Stock Cycles," Computational Economics, Springer;Society for Computational Economics, vol. 50(4), pages 629-653, December.
    22. Alessio Brini & Gabriele Tedeschi & Daniele Tantari, 2022. "Reinforcement Learning Policy Recommendation for Interbank Network Stability," Papers 2204.07134, arXiv.org, revised May 2023.
    23. 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.
    24. Takahiro Obata & Jun Sakazaki & Setsuya Kurahashi, 2023. "Building a Macroeconomic Simulator with Multi-Layered Supplier–Customer Relationships," Risks, MDPI, vol. 11(7), pages 1-31, July.
    25. 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.
    26. Marko Petrovic & Bulent Ozel & Andrea Teglio & Marco Raberto & Silvano Cincotti, 2017. "Eurace Open: An agent-based multi-country model," Working Papers 2017/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    27. 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.
    28. Isabelle Salle & Pascal Seppecher, 2017. "Stabilizing an Unstable Complex Economy," CEPN Working Papers hal-01527740, HAL.
    29. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.
    30. Li, Boyao, 2022. "The macroeconomic effects of Basel III regulations with endogenous credit and money creation," MPRA Paper 113873, University Library of Munich, Germany.
    31. Curto, José Dias & Quinaz, Pedro Miguel Mateus Dias, 2016. "Prudential regulation in an artificial banking system," Economics Discussion Papers 2016-27, Kiel Institute for the World Economy (IfW Kiel).
    32. Bauermann, Tom & Roos, Michael W. M. & Schaff, Frederik, 2020. "POSA: Policy implementation sensitivity analysis," Ruhr Economic Papers 854, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    33. 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.
    34. Lilit Popoyan, 2020. "Macroprudential Policy: a Blessing or a Curse?," Review of Economics and Institutions, Università di Perugia, vol. 11(1-2).

  17. 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).

    Cited by:

    1. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," Working Papers hal-03459508, HAL.
    2. Herbert Dawid & Philipp Harting & Michael Neugart, 2014. "Cohesion Policy and Inequality Dynamics: Insights from a Heterogeneous Agents Macroeconomic Model," Gecomplexity Discussion Paper Series 5, Action IS1104 "The EU in the new complex geography of economic systems: models, tools and policy evaluation", revised Apr 2014.
    3. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni & Tania Treibich, 2021. "Three green financial policies to address climate risks," Post-Print hal-04103920, HAL.
    4. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2012. "An Agent Based Decentralized Matching Macroeconomic Model," MPRA Paper 42211, University Library of Munich, Germany.
    5. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," Post-Print hal-03399574, HAL.
    6. Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2015. "Time-Varying Fiscal Multipliers in an Agent-Based Model with Credit Rationing," LEM Papers Series 2015/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Peter Klimek & Sebastian Poledna & J. Doyne Farmer & Stefan Thurner, 2014. "To bail-out or to bail-in? Answers from an agent-based model," Papers 1403.1548, arXiv.org.
    8. Seppecher, Pascal, 2014. "Pour une macroéconomie monétaire dynamique et complexe," Revue de la Régulation - Capitalisme, institutions, pouvoirs, Association Recherche et Régulation, vol. 16.
    9. Erlingsson, Einar Jon & Cincotti, Silvano & Stefansson, Hlynur & Sturlusson, Jon Thor & Teglio, Andrea & Raberto, Marco, 2013. "Housing market bubbles and business cycles in an agent-based credit economy," Economics Discussion Papers 2013-32, Kiel Institute for the World Economy (IfW Kiel).
    10. Gennaro Zezza & Michalis Nikiforos, 2017. "Stock-flow Consistent Macroeconomic Models: A Survey," EcoMod2017 10762, EcoMod.
    11. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Joseph Stiglitz & Tania Treibich, 2020. "Rational heuristics? Expectations and behaviors in evolving economies with heterogeneous interacting agents," Post-Print halshs-03046977, HAL.
    12. Einar Erlingsson & Simone Alfarano & Marco Raberto & Hlynur Stefánsson, 2013. "On the distributional properties of size, profit and growth of Icelandic firms," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 57-74, April.
    13. Fischer, Thomas & Riedler, Jesper, 2012. "Prices, debt and market structure in an agent-based model of the financial market," ZEW Discussion Papers 12-045, ZEW - Leibniz Centre for European Economic Research.
    14. Bence Mérõ, 2019. "Novel Modelling of the Operation of the Financial Intermediary System – Agent-based Macro Models," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 18(3), pages 83-113.
    15. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
    16. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2014. "Fiscal and monetary policies in complex evolving economies," Working Papers hal-03460560, HAL.
    17. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    18. 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.
    19. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2016. "Does Inequality Hamper Innovation and Growth?," MPRA Paper 71864, University Library of Munich, Germany.
    20. 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.
    21. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2014. "The Short- and Long-Run Damages of Fiscal Austerity: Keynes beyond Schumpeter," LEM Papers Series 2014/22, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    22. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," Working Papers hal-04141079, HAL.
    23. 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.
    24. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "The complexity of the intangible digital economy: an agent-based model," MPRA Paper 97071, University Library of Munich, Germany.
    25. Enrico Scalas & Tijana Radivojević & Ubaldo Garibaldi, 2015. "Wealth distribution and the Lorenz curve: a finitary approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(1), pages 79-89, April.
    26. Claudius Graebner & Philipp Heimberger & Jakob Kapeller & Michael Landesmann & Bernhard Schuetz, 2021. "The evolution of debtor-creditor relationships within a monetary union: Trade imbalances, excess reserves and economic policy," ICAE Working Papers 122, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    27. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "An economy under the digital transformation," MPRA Paper 94205, University Library of Munich, Germany.
    28. Monasterolo, Irene & Raberto, Marco, 2018. "The EIRIN Flow-of-funds Behavioural Model of Green Fiscal Policies and Green Sovereign Bonds," Ecological Economics, Elsevier, vol. 144(C), pages 228-243.
    29. Quinaz, Pedro Dias & Curto, José Dias, 2016. "Prudential regulation in an artificial banking system," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 10, pages 1-55.
    30. Italo 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 2018-11, Centre d'Economie de l'Université de Paris Nord.
    31. 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.
    32. Giovanni Dosi & Andrea Roventini, 2019. "More is Different ... and Complex! The Case for Agent-Based Macroeconomics," LEM Papers Series 2019/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    33. Lauretta, Eliana, 2018. "The hidden soul of financial innovation: An agent-based modelling of home mortgage securitization and the finance-growth nexus," Economic Modelling, Elsevier, vol. 68(C), pages 51-73.
    34. Russo, Alberto, 2016. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," MPRA Paper 77175, University Library of Munich, Germany.
    35. Seppecher, P. & Salle, I. & Lang, D., 2016. "Is the Market Really a Good Teacher?," CeNDEF Working Papers 16-04, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    36. Bargigli, Leonardo & Gallegati, Mauro & Riccetti, Luca & Russo, Alberto, 2014. "Network analysis and calibration of the “leveraged network-based financial accelerator”," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 109-125.
    37. Guglielmo Maria Caporale & Luis A. Gil-Alana & Maria Malmierca, 2021. "Persistence in the Private Debt-to-GDP Ratio: Evidence from 43 OECD Countries," CESifo Working Paper Series 8889, CESifo.
    38. Siyan Chen & Saul Desiderio, 2018. "Long-run consequences of debt," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 365-383, July.
    39. 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.
    40. Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2016. "Macroeconomic implications of mortgage loans requirements: An agent based approach," Working Papers 2016/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    41. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2019. "Winter is possibly not coming: mitigating financial instability in an agent-based model with interbank market," SciencePo Working papers Main hal-03403274, HAL.
    42. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Monetary policy and large crises in a financial accelerator agent-based model," FinMaP-Working Papers 65, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    43. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2012. "Income distribution, credit and fiscal policies in an agent-based keynesian model," SciencePo Working papers Main hal-01070285, HAL.
    44. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2016. "An agent-based stock-flow consistent model of the sustainable transition in the energy sector," MPRA Paper 73183, University Library of Munich, Germany.
    45. Mazzocchetti, Andrea & Lauretta, Eliana & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2018. "Systemic Financial Risk Indicators and Securitised Assets: an Agent-Based Framework," MPRA Paper 89779, University Library of Munich, Germany.
    46. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).
    47. 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).
    48. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    49. 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.
    50. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2016. "From financial instability to green finance: the role of banking and monetary policies in the Eurace model," Working Papers 2016/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    51. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    52. Annalisa Fabretti, 2013. "On the problem of calibrating an agent based model for financial markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 277-293, October.
    53. Kirill V. Rostislav & Yury Yu. Ponomarev & Darya M. Radchenko, 2022. "Имитационная Пространственная Модель Развития Российских Городов," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 5, pages 20-33, May.
    54. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    55. Rémi Stellian & Jenny P. Danna‐Buitrago, 2020. "Financial distress, free cash flow, and interfirm payment network: Evidence from an agent‐based model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 598-616, October.
    56. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    57. Marko Petrovic & Bulent Ozel & Andrea Teglio & Marco Raberto & Silvano Cincotti, 2017. "Eurace Open: An agent-based multi-country model," Working Papers 2017/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    58. 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.
    59. 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.
    60. 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.
    61. Orlando Gomes, 2017. "Heterogeneous wage setting and endogenous macro volatility," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(1), pages 27-57, April.
    62. Silvano Cincotti & Marco Raberto & Andrea Teglio, 2022. "Why do we need agent-based macroeconomics?," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 5-29, April.
    63. Deryugina, Elena & Ponomarenko, Alexey & Rozhkova, Anna, 2020. "When are credit gap estimates reliable?," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 221-238.
    64. Andrea Borsato, 2021. "Simple Matching Protocols for Agent-based Models," Working Papers of BETA 2021-35, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    65. Tiziana Assenza & Domenico Delli Gatti & Jakob Grazzini, 2014. "Emergent Dynamics of a Macroeconomic Agent Based Model with Capital and Credit," CESifo Working Paper Series 4765, CESifo.
    66. Kirill V. Rostislav & Yury Yu. Ponomarev & Darya M. Radchenko, 2022. "Simulated Spatial Model of Russian Urban Development [Имитационная Пространственная Модель Развития Российских Городов]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 5, pages 20-33, May.
    67. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    68. Juan Carlos Cuestas & Luis A. Gil-Alana & María Malmierca, 2022. "Credit-to-GDP ratios – non-linear trends and persistence: evidence from 44 OECD economies," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(3), pages 448-463, March.
    69. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.
    70. Alessandro Caiani & Ermanno Catullo & Mauro Gallegati, 2018. "The effects of fiscal targets in a monetary union: a multi-country agent-based stock flow consistent model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1123-1154.
    71. Marko Petrović & Andrea Teglio & Simone Alfarano, 2022. "Credit allocation and the financial crisis: evidence from Spanish companies," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(4), pages 1069-1114, October.
    72. Ali Naqvi & Miriam Rehm, 2014. "A multi-agent model of a low income economy: simulating the distributional effects of natural disasters," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(2), pages 275-309, October.
    73. Andrea Teglio & Marco Raberto & Silvano Cincotti, 2012. "The Impact Of Banks' Capital Adequacy Regulation On The Economic System: An Agent-Based Approach," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(supp0), pages 1-27.
    74. Dawid, H. & Harting, P. & Neugart, M., 2014. "Economic convergence: Policy implications from a heterogeneous agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 44(C), pages 54-80.
    75. Hafner, Sarah & Anger-Kraavi, Annela & Monasterolo, Irene & Jones, Aled, 2020. "Emergence of New Economics Energy Transition Models: A Review," Ecological Economics, Elsevier, vol. 177(C).
    76. Curto, José Dias & Quinaz, Pedro Miguel Mateus Dias, 2016. "Prudential regulation in an artificial banking system," Economics Discussion Papers 2016-27, Kiel Institute for the World Economy (IfW Kiel).
    77. Gechert, Sebastian, 2012. "The multiplier principle, credit-money and time," MPRA Paper 34648, University Library of Munich, Germany.
    78. 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.
    79. Lauretta, Eliana & Chaudhry, Sajid & Mullineux, Andy, 2015. "Theory and Evidence on the Finance-Growth Relationship: The Virtuous and Unvirtuous Cycles," MPRA Paper 70613, University Library of Munich, Germany.
    80. 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.
    81. 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).
    82. Gross, Marco, 2022. "Beautiful cycles: A theory and a model implying a curious role for interest," Economic Modelling, Elsevier, vol. 106(C).
    83. Thomas Ankenbrand & Fabian Kostadinov & Faten Ben Bouheni & Mondher Bellalah, 2020. "Cyclical behaviour of the Swiss real estate market," International Journal of Entrepreneurship and Small Business, Inderscience Enterprises Ltd, vol. 39(1/2), pages 71-99.
    84. João Silvestre, 2017. "Sovereign default contagion: an agent-based model approach," Working Papers Department of Economics 2017/08, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    85. Marcello Nieddu & Filippo Bertani & Linda Ponta, 2022. "The sustainability transition and the digital transformation: two challenges for agent-based macroeconomic models," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 193-226, April.
    86. Shigeaki Ogibayashi & Kosei Takashima, 2017. "Influential factors responsible for the effect of tax reduction on GDP," Evolutionary and Institutional Economics Review, Springer, vol. 14(2), pages 431-449, December.
    87. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial factors in an agent-based macroeconomic model," Economics Discussion Papers 2013-9, Kiel Institute for the World Economy (IfW Kiel).
    88. Riccetti, Luca & Russo, Alberto & Mauro, Gallegati, 2013. "Financial Regulation in an Agent Based Macroeconomic Model," MPRA Paper 51013, University Library of Munich, Germany.
    89. Michalis Nikiforos & Gennaro Zezza, 2017. "Stock†Flow Consistent Macroeconomic Models: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1204-1239, December.
    90. 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.

  18. Andrea Teglio & Marco Raberto & Silvano Cincotti, 2011. "The impact of banks’ capital adequacy regulation on the economic system: an agent-based approach," Working Papers 2011/01, Economics Department, Universitat Jaume I, Castellón (Spain).

    Cited by:

    1. Marc Sanchez-Roger & María Dolores Oliver-Alfonso & Carlos Sanchís-Pedregosa, 2018. "Bail-In: A Sustainable Mechanism for Rescuing Banks," Sustainability, MDPI, vol. 10(10), pages 1-18, October.
    2. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," Working Papers hal-03459508, HAL.
    3. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," Post-Print hal-03399574, HAL.
    4. Lengnick, Matthias & Krug, Sebastian & Wohltmann, Hans-Werner, 2012. "Money creation and financial instability: An agent-based credit network approach," Economics Working Papers 2012-15, Christian-Albrechts-University of Kiel, Department of Economics.
    5. Erlingsson, Einar Jon & Cincotti, Silvano & Stefansson, Hlynur & Sturlusson, Jon Thor & Teglio, Andrea & Raberto, Marco, 2013. "Housing market bubbles and business cycles in an agent-based credit economy," Economics Discussion Papers 2013-32, Kiel Institute for the World Economy (IfW Kiel).
    6. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
    7. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    8. Michel Alexandre & Gilberto Tadeu Lima, 2020. "Combining monetary policy and prudential regulation: an agent-based modeling approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(2), pages 385-411, April.
    9. 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.
    10. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "The complexity of the intangible digital economy: an agent-based model," MPRA Paper 97071, University Library of Munich, Germany.
    11. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "An economy under the digital transformation," MPRA Paper 94205, University Library of Munich, Germany.
    12. Sebastian Krug & Matthias Lengnick & Hans-Werner Wohltmann, 2014. "The impact of Basel III on financial (in)stability: an agent-based credit network approach," Quantitative Finance, Taylor & Francis Journals, vol. 15(12), pages 1917-1932, December.
    13. Russo, Alberto, 2016. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," MPRA Paper 77175, University Library of Munich, Germany.
    14. Li, Xi Hao & Gallegati, Mauro, 2015. "Sectoral Imbalance in Two-Sector Economy with Mobility Constraint and Firm Migration," MPRA Paper 66002, University Library of Munich, Germany.
    15. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harré, 2021. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large-scale agent-based model," SN Business & Economics, Springer, vol. 1(6), pages 1-21, June.
    16. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," SciencePo Working papers Main hal-03399668, HAL.
    17. Baaeth Atallah Dalaien, 2016. "Impact of Global Financial Crisis on Banking Sector of India and Jordan," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 2(1), pages 79-95, March.
    18. Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2016. "Macroeconomic implications of mortgage loans requirements: An agent based approach," Working Papers 2016/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    19. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2019. "Winter is possibly not coming: mitigating financial instability in an agent-based model with interbank market," SciencePo Working papers Main hal-03403274, HAL.
    20. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2016. "An agent-based stock-flow consistent model of the sustainable transition in the energy sector," MPRA Paper 73183, University Library of Munich, Germany.
    21. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).
    22. 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.
    23. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    24. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2016. "From financial instability to green finance: the role of banking and monetary policies in the Eurace model," Working Papers 2016/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    25. Bertani, Filippo & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "Digital Innovation and its Potential Consequences: the Elasticity Augmenting Approach," MPRA Paper 105326, University Library of Munich, Germany.
    26. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    27. 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).
    28. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    29. Marko Petrovic & Bulent Ozel & Andrea Teglio & Marco Raberto & Silvano Cincotti, 2017. "Eurace Open: An agent-based multi-country model," Working Papers 2017/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    30. 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.
    31. 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).
    32. Tiziana Assenza & Domenico Delli Gatti & Jakob Grazzini, 2014. "Emergent Dynamics of a Macroeconomic Agent Based Model with Capital and Credit," CESifo Working Paper Series 4765, CESifo.
    33. Fatouh, Mahmoud & Markose, Sheri & Giansante, Simone, 2021. "The impact of quantitative easing on UK bank lending: Why banks do not lend to businesses?," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 928-953.
    34. Torsten Trimborn & Philipp Otte & Simon Cramer & Maximilian Beikirch & Emma Pabich & Martin Frank, 2020. "SABCEMM: A Simulator for Agent-Based Computational Economic Market Models," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 707-744, February.
    35. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    36. Torsten Trimborn & Philipp Otte & Simon Cramer & Max Beikirch & Emma Pabich & Martin Frank, 2018. "SABCEMM-A Simulator for Agent-Based Computational Economic Market Models," Papers 1801.01811, arXiv.org, revised Oct 2018.

  19. Cincotti, Silvano & Raberto, Marco & Teglio, Andrea, 2010. "Credit money and macroeconomic instability in the agent-based model and simulator Eurace," Economics Discussion Papers 2010-4, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Pascal Seppecher & Isabelle Salle & Marc Lavoie, 2017. "What drives markups? Evolutionary pricing in an agent-based stock-flow consistent macroeconomic model," CEPN Working Papers 2017-03, Centre d'Economie de l'Université de Paris Nord.
    2. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    3. Gallegati, Mauro & Kirman, Alan, 2019. "20 years of WEHIA: A journey in search of a safer road," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 5-14.
    4. Giorgio Ffagiolo & Daniele Giachini & Andrea Roventini, 2017. "Innovation, Finance, and Economic Growth : an agent based approach," Documents de Travail de l'OFCE 2017-28, Observatoire Francais des Conjonctures Economiques (OFCE).
    5. Lengnick, Matthias, 2011. "Agent-based macroeconomics - a baseline model," Economics Working Papers 2011-04, Christian-Albrechts-University of Kiel, Department of Economics.
    6. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    7. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis," SciencePo Working papers Main hal-01070338, HAL.
    8. Chen, Siyan & Desiderio, Saul, 2017. "What moves the Beveridge curve and the Phillips curve: An agent-based analysis," Economics Discussion Papers 2017-65, Kiel Institute for the World Economy (IfW Kiel).
    9. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2012. "An Agent Based Decentralized Matching Macroeconomic Model," MPRA Paper 42211, University Library of Munich, Germany.
    10. Lengnick, Matthias & Krug, Sebastian & Wohltmann, Hans-Werner, 2012. "Money creation and financial instability: An agent-based credit network approach," Economics Working Papers 2012-15, Christian-Albrechts-University of Kiel, Department of Economics.
    11. Richard Bookstaber, 2012. "Using Agent-Based Models for Analyzing Threats to Financial Stability," Working Papers 12-03, Office of Financial Research, US Department of the Treasury.
    12. Gennaro Zezza & Michalis Nikiforos, 2017. "Stock-flow Consistent Macroeconomic Models: A Survey," EcoMod2017 10762, EcoMod.
    13. Einar Erlingsson & Simone Alfarano & Marco Raberto & Hlynur Stefánsson, 2013. "On the distributional properties of size, profit and growth of Icelandic firms," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 57-74, April.
    14. Teglio, Andrea, 2020. "On the typicality of the representative agent," MPRA Paper 105407, University Library of Munich, Germany.
    15. Mattia Guerini & Francesco Lamperti & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2022. "Unconventional monetary policies in an agent-based model with mark-to-market standards," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 73-107, April.
    16. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis: A New Tool for Economic and Policy Analysis," Sciences Po publications 3, Sciences Po.
    17. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    18. Mauro Napoletano, 2018. "A Short Walk on the Wild Side: Agent-Based Models and their Implications for Macroeconomic Analysis," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(3), pages 257-281.
    19. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
    20. 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.
    21. Tommaso Ciarli & Karolina Safarzynska, 2020. "Sustainability and Industrial Challenge: The Hindering Role of Complexity," SPRU Working Paper Series 2020-18, SPRU - Science Policy Research Unit, University of Sussex Business School.
    22. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2016. "Does Inequality Hamper Innovation and Growth?," MPRA Paper 71864, University Library of Munich, Germany.
    23. 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.
    24. 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).
    25. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," Working Papers hal-04141079, HAL.
    26. Wäckerle, Manuel, 2013. "On the bottom-up foundations of the banking-macro nexus," Economics Discussion Papers 2013-5, Kiel Institute for the World Economy (IfW Kiel).
    27. Claudius Graebner & Philipp Heimberger & Jakob Kapeller & Michael Landesmann & Bernhard Schuetz, 2021. "The evolution of debtor-creditor relationships within a monetary union: Trade imbalances, excess reserves and economic policy," ICAE Working Papers 122, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    28. 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.
    29. Giovanni Dosi & Andrea Roventini, 2019. "More is Different ... and Complex! The Case for Agent-Based Macroeconomics," LEM Papers Series 2019/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    30. Silvano Cincotti & Marco Raberto & Andrea Teglio, 2012. "Macroprudential Policies in an Agent-Based Artificial Economy," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 205-234.
    31. Ciarli, Tommaso & Savona, Maria, 2019. "Modelling the Evolution of Economic Structure and Climate Change: A Review," Ecological Economics, Elsevier, vol. 158(C), pages 51-64.
    32. Lauretta, Eliana, 2018. "The hidden soul of financial innovation: An agent-based modelling of home mortgage securitization and the finance-growth nexus," Economic Modelling, Elsevier, vol. 68(C), pages 51-73.
    33. Severin Reissl, 2021. "Heterogeneous expectations, forecasting behaviour and policy experiments in a hybrid Agent-based Stock-flow-consistent model," Journal of Evolutionary Economics, Springer, vol. 31(1), pages 251-299, January.
    34. Quamrul Ashraf & Boris Gershman & Peter Howitt, 2015. "Banks, Market Organization, and Macroeconomic Performance: An Agent-Based Computational Analysis," Working Papers 2015-10, American University, Department of Economics.
    35. Russo, Alberto, 2016. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," MPRA Paper 77175, University Library of Munich, Germany.
    36. Seppecher, P. & Salle, I. & Lang, D., 2016. "Is the Market Really a Good Teacher?," CeNDEF Working Papers 16-04, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    37. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harré, 2021. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large-scale agent-based model," SN Business & Economics, Springer, vol. 1(6), pages 1-21, June.
    38. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," SciencePo Working papers Main hal-03399668, HAL.
    39. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    40. Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2016. "Macroeconomic implications of mortgage loans requirements: An agent based approach," Working Papers 2016/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    41. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Monetary policy and large crises in a financial accelerator agent-based model," FinMaP-Working Papers 65, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    42. Elena Deryugina & Alexey Ponomarenko, 2021. "Explaining the lead–lag pattern in the money–inflation relationship: a microsimulation approach," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1113-1128, September.
    43. Hanappi, Hardy & Scholz-Waeckerle, Manuel, 2015. "Evolutionary Political Economy: Content and Methods," MPRA Paper 75447, University Library of Munich, Germany.
    44. 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.
    45. Chen, Siyan & Desiderio, Saul, 2019. "Job duration and inequality," Economics Discussion Papers 2019-44, Kiel Institute for the World Economy (IfW Kiel).
    46. 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.
    47. Peter Howitt & Ömer Özak, 2009. "Adaptive Consumption Behavior," NBER Working Papers 15427, National Bureau of Economic Research, Inc.
    48. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2012. "Income distribution, credit and fiscal policies in an agent-based keynesian model," SciencePo Working papers Main hal-01070285, HAL.
    49. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2016. "An agent-based stock-flow consistent model of the sustainable transition in the energy sector," MPRA Paper 73183, University Library of Munich, Germany.
    50. Mazzocchetti, Andrea & Lauretta, Eliana & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2018. "Systemic Financial Risk Indicators and Securitised Assets: an Agent-Based Framework," MPRA Paper 89779, University Library of Munich, Germany.
    51. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).
    52. Fadiran, Gideon & Fadiran, David & Ibn-Mohammed, Taofeeq, 2017. "Macroeconomic Policy effects on development transition – Views from Agent based model," MPRA Paper 103197, University Library of Munich, Germany, revised Dec 2018.
    53. 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.
    54. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    55. Rengs, Bernhard & Scholz-Wäckerle, Manuel & van den Bergh, Jeroen, 2020. "Evolutionary macroeconomic assessment of employment and innovation impacts of climate policy packages," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 332-368.
    56. 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.
    57. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2016. "From financial instability to green finance: the role of banking and monetary policies in the Eurace model," Working Papers 2016/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    58. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    59. Donovan Platt, 2022. "Bayesian Estimation of Economic Simulation Models Using Neural Networks," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 599-650, February.
    60. Weihong Huang & Yu Zhang, 2017. "Endogenous Fundamental and Stock Cycles," Computational Economics, Springer;Society for Computational Economics, vol. 50(4), pages 629-653, December.
    61. Kurt Kratena, 2015. "Thematic Report: Macroeconomic Models Including Specifically Social and Environmental Aspects. WWWforEurope Deliverable No. 8," WIFO Studies, WIFO, number 58411, April.
    62. 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.
    63. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    64. 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.
    65. Safarzyńska, Karolina & van den Bergh, Jeroen C.J.M., 2017. "Financial stability at risk due to investing rapidly in renewable energy," Energy Policy, Elsevier, vol. 108(C), pages 12-20.
    66. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
    67. Xu, Yingying, 2020. "Will energy transitions impact financial systems?," Energy, Elsevier, vol. 194(C).
    68. Zhang, Jinyu & Zhang, Qiaosen & Li, Yong & Wang, Qianchao, 2023. "Sequential Bayesian inference for agent-based models with application to the Chinese business cycle," Economic Modelling, Elsevier, vol. 126(C).
    69. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    70. Marko Petrovic & Bulent Ozel & Andrea Teglio & Marco Raberto & Silvano Cincotti, 2017. "Eurace Open: An agent-based multi-country model," Working Papers 2017/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    71. 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.
    72. 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.
    73. 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.
    74. 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.
    75. Rengs, Bernhard & Scholz-Waeckerle, Manuel, 2017. "Consumption & Class in Evolutionary Macroeconomics," MPRA Paper 80021, University Library of Munich, Germany.
    76. Iori, G. & Porter, J., 2012. "Agent-Based Modelling for Financial Markets," Working Papers 12/08, Department of Economics, City University London.
    77. Safarzyńska, Karolina & van den Bergh, Jeroen C.J.M., 2017. "Integrated crisis-energy policy: Macro-evolutionary modelling of technology, finance and energy interactions," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 119-137.
    78. Silvano Cincotti & Marco Raberto & Andrea Teglio, 2022. "Why do we need agent-based macroeconomics?," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 5-29, April.
    79. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models," Post-Print hal-03461262, HAL.
    80. 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).
    81. Alessandro Caiani & Ermanno Catullo, 2023. "Fiscal Transfers and Common Debt in a Monetary Union: A Multi-Country Agent Based-Stock Flow Consistent Model," LEM Papers Series 2023/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    82. Andrea Borsato, 2021. "Simple Matching Protocols for Agent-based Models," Working Papers of BETA 2021-35, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    83. Isabelle Salle & Pascal Seppecher, 2017. "Stabilizing an Unstable Complex Economy," CEPN Working Papers hal-01527740, HAL.
    84. Bernhard Rengs & Manuel Scholz-Wäckerle, 2019. "Consumption & class in evolutionary macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 229-263, March.
    85. Tiziana Assenza & Domenico Delli Gatti & Jakob Grazzini, 2014. "Emergent Dynamics of a Macroeconomic Agent Based Model with Capital and Credit," CESifo Working Paper Series 4765, CESifo.
    86. 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.
    87. Ermanno Catullo & Mauro Gallegati & Alberto Russo, 2020. "Forecasting in a complex environment: Machine learning sales expectations in a Stock Flow Consistent Agent-Based simulation model," Working Papers 2020/17, Economics Department, Universitat Jaume I, Castellón (Spain).
    88. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    89. Donovan Platt, 2019. "A Comparison of Economic Agent-Based Model Calibration Methods," Papers 1902.05938, arXiv.org.
    90. Alessandro Caiani & Ermanno Catullo & Mauro Gallegati, 2018. "The effects of fiscal targets in a monetary union: a multi-country agent-based stock flow consistent model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1123-1154.
    91. Alessio Emanuele Biondo, 2023. "Mr.Keynes and the... Complexity! A suggested agent-based version of the General Theory of Employment, Interest and Money," Papers 2303.00889, arXiv.org, revised Mar 2023.
    92. Andrea Teglio & Marco Raberto & Silvano Cincotti, 2012. "The Impact Of Banks' Capital Adequacy Regulation On The Economic System: An Agent-Based Approach," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(supp0), pages 1-27.
    93. Bernhard Rengs & Manuel Scholz-Wäckerle & Ardjan Gazheli & Miklós Antal & Jeroen C.J.M. van den Bergh, 2015. "Testing Innovation, Employment and Distributional Impacts of Climate Policy Packages in a Macro-evolutionary Systems Setting. WWWforEurope Working Paper No. 83," WIFO Studies, WIFO, number 57891, April.
    94. Hafner, Sarah & Anger-Kraavi, Annela & Monasterolo, Irene & Jones, Aled, 2020. "Emergence of New Economics Energy Transition Models: A Review," Ecological Economics, Elsevier, vol. 177(C).
    95. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2022. "Charging the macroeconomy with an energy sector: an agent-based model," FEEM Working Papers 319877, Fondazione Eni Enrico Mattei (FEEM).
    96. Chen, Siyan & Desiderio, Saul, 2018. "Computational evidence on the distributive properties of monetary policy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-32.
    97. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2023. "Enter the MATRIX model:a Multi-Agent model for Transition Risks with application to energy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    98. 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.
    99. Nathalie Lazaric & Silvano Cincotti & Wolfram Elsner & Anastasia Nesvetailova & Engelbert Stockhammer, 2020. "Towards an evolutionary political economy. Editorial to the inaugural issue of the Review of Evolutionary Political Economy REPE," Post-Print halshs-03000271, HAL.
    100. Hosszú, Zsuzsanna & Mérő, Bence, 2017. "Hitelciklusok és anticiklikus tőkepuffer egy ágensalapú keynesi modellben [Credit cycles and the counter-cyclical capital buffer in an agent-based Keynesian model]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 457-475.
    101. Marcello Nieddu & Filippo Bertani & Linda Ponta, 2022. "The sustainability transition and the digital transformation: two challenges for agent-based macroeconomic models," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 193-226, April.
    102. Andrew G. Haldane & Arthur E. Turrell, 2019. "Drawing on different disciplines: macroeconomic agent-based models," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 39-66, March.
    103. Howitt, Peter, 2012. "What have central bankers learned from modern macroeconomic theory?," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 11-22.
    104. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial factors in an agent-based macroeconomic model," Economics Discussion Papers 2013-9, Kiel Institute for the World Economy (IfW Kiel).
    105. Domenico Gatti & Saul Desiderio, 2015. "Monetary policy experiments in an agent-based model with financial frictions," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 265-286, October.
    106. Riccetti, Luca & Russo, Alberto & Mauro, Gallegati, 2013. "Financial Regulation in an Agent Based Macroeconomic Model," MPRA Paper 51013, University Library of Munich, Germany.
    107. Marco Catola & Silvia Leoni, 2023. "Pollution Abatement and Lobbying in a Cournot Game. An Agent-Based Modelling approach," Discussion Papers 2023/294, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    108. Michalis Nikiforos & Gennaro Zezza, 2017. "Stock†Flow Consistent Macroeconomic Models: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1204-1239, December.
    109. David Umoru & Lawrence Aghedo, 2017. "Financial Stability and Credit Creation in Nigeria: An Econometric Evaluation," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 3(4), pages 19-23, December.

Articles

  1. Silvano Cincotti & Marco Raberto & Andrea Teglio, 2022. "Why do we need agent-based macroeconomics?," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 5-29, April.

    Cited by:

    1. Lucrezia Fanti & Marcelo C. Pereira & Maria Enrica Virgillito, 2023. "A North-South agent based model of segmented labour markets. The role of education and trade asymmetries," LEM Papers Series 2023/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  2. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "The complexity of the intangible digital economy: an agent-based model," Journal of Business Research, Elsevier, vol. 129(C), pages 527-540.
    See citations under working paper version above.
  3. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).

    Cited by:

    1. Zhangqi, Zhong & Zhuli, Chen & Lingyun, He, 2022. "Technological innovation, industrial structural change and carbon emission transferring via trade-------An agent-based modeling approach," Technovation, Elsevier, vol. 110(C).

  4. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    See citations under working paper version above.
  5. Andrea Mazzocchetti & Eliana Lauretta & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2020. "Systemic financial risk indicators and securitised assets: an agent-based framework," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 9-47, January.
    See citations under working paper version above.
  6. Teglio, Andrea & Mazzocchetti, Andrea & Ponta, Linda & Raberto, Marco & Cincotti, Silvano, 2019. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 59-83.
    See citations under working paper version above.
  7. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.

    Cited by:

    1. Aghilasse Kashi & Mohamed Eskandar Shah, 2023. "Bibliometric Review on Sustainable Finance," Sustainability, MDPI, vol. 15(9), pages 1-30, April.
    2. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
    3. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    4. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "The complexity of the intangible digital economy: an agent-based model," MPRA Paper 97071, University Library of Munich, Germany.
    5. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "An economy under the digital transformation," MPRA Paper 94205, University Library of Munich, Germany.
    6. Giovanni Dosi & Andrea Roventini, 2019. "More is Different ... and Complex! The Case for Agent-Based Macroeconomics," LEM Papers Series 2019/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Phillip Anthony O’Hara, 2021. "Objectives of the Review of Evolutionary Political Economy’s ‘Manifesto’ and editorial proposals on world problems, complex systems, historico-institutional and corruption issues," Review of Evolutionary Political Economy, Springer, vol. 2(2), pages 359-387, July.
    8. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harré, 2021. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large-scale agent-based model," SN Business & Economics, Springer, vol. 1(6), pages 1-21, June.
    9. Yannis Dafermos & Maria Nikolaidi, 2021. "How can green differentiated capital requirements affect climate risks? A dynamic macrofinancial analysis," Working Papers PKWP2105, Post Keynesian Economics Society (PKES).
    10. Davidescu, Adriana AnaMaria & Popovici, Oana Cristina & Strat, Vasile Alecsandru, 2022. "Estimating the impact of green ESIF in Romania using input-output model," International Review of Financial Analysis, Elsevier, vol. 84(C).
    11. Qiuping Chen & Bo Ning & Yue Pan & Jinli Xiao, 2022. "Green finance and outward foreign direct investment: evidence from a quasi-natural experiment of green insurance in China," Asia Pacific Journal of Management, Springer, vol. 39(3), pages 899-924, September.
    12. Irene Monasterolo & Nepomuk Dunz & Andrea Mazzocchetti & Régis Gourdel, 2022. "Derisking the low-carbon transition: investors’ reaction to climate policies, decarbonization and distributive effects," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 31-71, April.
    13. Ponta, Linda & Puliga, Gloria & Lazzarotti, Valentina & Manzini, Raffaella & Cincotti, Silvano, 2023. "To copatent or not to copatent: An agent-based model for firms facing this dilemma," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1349-1363.
    14. Sharma, Gagan Deep & Shahbaz, Muhammad & Singh, Sanjeet & Chopra, Ritika & Cifuentes-Faura, Javier, 2023. "Investigating the nexus between green economy, sustainability, bitcoin and oil prices: Contextual evidence from the United States," Resources Policy, Elsevier, vol. 80(C).
    15. 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.
    16. Kirill V. Rostislav & Yury Yu. Ponomarev & Darya M. Radchenko, 2022. "Имитационная Пространственная Модель Развития Российских Городов," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 5, pages 20-33, May.
    17. Juan Yang & Mirza Nasir Jahan Mehdi & Muhammad Hafeez & Md. Abdul Kaium & Raufhon Salahodjaev, 2023. "Financial Indicators’ Performance and Green Financing Projects: A Comparative Study from PSX and NYSX," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
    18. Louis Daumas, 2021. "Should we fear transition risks - A review of the applied literature," Working Papers 2021.05, FAERE - French Association of Environmental and Resource Economists.
    19. Kirill V. Rostislav & Yury Yu. Ponomarev & Darya M. Radchenko, 2022. "Simulated Spatial Model of Russian Urban Development [Имитационная Пространственная Модель Развития Российских Городов]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 5, pages 20-33, May.
    20. Fiordelisi, Franco & Ricci, Ornella & Santilli, Gianluca, 2023. "Environmental engagement and stock price crash risk: Evidence from the European banking industry," International Review of Financial Analysis, Elsevier, vol. 88(C).
    21. He, Junming & Iqbal, Wasim & Su, Fangli, 2023. "Nexus between renewable energy investment, green finance, and sustainable development: Role of industrial structure and technical innovations," Renewable Energy, Elsevier, vol. 210(C), pages 715-724.
    22. Huo, Da & Zhang, Xiaotao & Meng, Shuang & Wu, Gang & Li, Junhang & Di, Ruoqi, 2022. "Green finance and energy efficiency: Dynamic study of the spatial externality of institutional support in a digital economy by using hidden Markov chain," Energy Economics, Elsevier, vol. 116(C).
    23. Lee, Chien-Chiang & Wang, Chih-Wei & Ho, Shan-Ju, 2022. "The dimension of green economy: Culture viewpoint," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 122-138.
    24. Marcello Nieddu & Filippo Bertani & Linda Ponta, 2022. "The sustainability transition and the digital transformation: two challenges for agent-based macroeconomic models," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 193-226, April.
    25. Wu, Hong, 2023. "Evaluating the role of renewable energy investment resources and green finance on the economic performance: Evidence from OECD economies," Resources Policy, Elsevier, vol. 80(C).

  8. Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2019. "Macroeconomic implications of mortgage loan requirements: an agent-based approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(1), pages 7-46, March.
    See citations under working paper version above.
  9. Andrea Mazzocchetti & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2018. "Securitization and business cycle: an agent-based perspective," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1091-1121.
    See citations under working paper version above.
  10. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2018. "An Agent-based Stock-flow Consistent Model of the Sustainable Transition in the Energy Sector," Ecological Economics, Elsevier, vol. 145(C), pages 274-300.
    See citations under working paper version above.
  11. Zhang, Wei & Li, Xiao & Shen, Dehua & Teglio, Andrea, 2016. "R2 and idiosyncratic volatility: Which captures the firm-specific return variation?," Economic Modelling, Elsevier, vol. 55(C), pages 298-304.
    See citations under working paper version above.
  12. Zhang, Wei & Li, Xiao & Shen, Dehua & Teglio, Andrea, 2016. "Daily happiness and stock returns: Some international evidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 460(C), pages 201-209.

    Cited by:

    1. Matteo Bonato & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020. "Investor Happiness and Predictability of the Realized Volatility of Oil Price," Working Papers 202009, University of Pretoria, Department of Economics.
    2. Yousaf, Imran & Youssef, Manel & Goodell, John W., 2022. "Quantile connectedness between sentiment and financial markets: Evidence from the S&P 500 twitter sentiment index," International Review of Financial Analysis, Elsevier, vol. 83(C).
    3. Byström, Hans, 2020. "Happiness and Gold Prices," Finance Research Letters, Elsevier, vol. 35(C).
    4. Zhang, Wei & Wang, Pengfei & Li, Xiao & Shen, Dehua, 2018. "Twitter’s daily happiness sentiment and international stock returns: Evidence from linear and nonlinear causality tests," Journal of Behavioral and Experimental Finance, Elsevier, vol. 18(C), pages 50-53.
    5. Agarwal, Shweta & Kumar, Shailendra & Goel, Utkarsh, 2019. "Stock market response to information diffusion through internet sources: A literature review," International Journal of Information Management, Elsevier, vol. 45(C), pages 118-131.
    6. Zhang, Yongjie & Zhang, Zuochao & Liu, Lanbiao & Shen, Dehua, 2017. "The interaction of financial news between mass media and new media: Evidence from news on Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 535-541.
    7. Na, Haejung & Kim, Soonho, 2021. "Predicting stock prices based on informed traders’ activities using deep neural networks," Economics Letters, Elsevier, vol. 204(C).
    8. Zhao, Ruwei, 2020. "Quantifying the cross sectional relation of daily happiness sentiment and return skewness: Evidence from US industries," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    9. Kristoufek, Ladislav, 2018. "Does solar activity affect human happiness?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 47-53.
    10. Chen, Wen-Yi & Chen, Mei-Ping, 2022. "Twitter’s daily happiness sentiment, economic policy uncertainty, and stock index fluctuations," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    11. Bonato, Matteo & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2021. "A note on investor happiness and the predictability of realized volatility of gold," Finance Research Letters, Elsevier, vol. 39(C).
    12. Zhang, Wei & Bi, Zhengzheng & Shen, Dehua, 2017. "Investor structure and the price–volume relationship in a continuous double auction market: An agent-based modeling perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 345-355.
    13. Shen, Dehua & Li, Xiao & Xue, Mei & Zhang, Wei, 2017. "Does microblogging convey firm-specific information? Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 621-626.
    14. Zhao, Ruwei, 2020. "Quantifying the cross sectional relation of daily happiness sentiment and stock return: Evidence from US," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).
    15. Shi, Yong & Tang, Ye-ran & Long, Wen, 2019. "Sentiment contagion analysis of interacting investors: Evidence from China’s stock forum," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 246-259.
    16. Jia, Boxiang & Shen, Dehua & Zhang, Wei, 2022. "Extreme sentiment and herding: Evidence from the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 63(C).
    17. Văn, Lê & Bảo, Nguyễn Khắc Quốc, 2022. "The relationship between global stock and precious metals under Covid-19 and happiness perspectives," Resources Policy, Elsevier, vol. 77(C).
    18. Zhang, Wei & Wang, Pengfei & Li, Xiao & Shen, Dehua, 2018. "Quantifying the cross-correlations between online searches and Bitcoin market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 657-672.
    19. Xiong Xiong & Chen Wang & Dehua Shen, 2020. "Market Participation Willingness and Investor’s Herding Behavior: Evidence from an Emerging Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(3), pages 439-452, September.
    20. Zhang, Yongjie & Zhang, Yuzhao & Shen, Dehua & Zhang, Wei, 2017. "Investor sentiment and stock returns: Evidence from provincial TV audience rating in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 288-294.
    21. Juan Pablo Gutierrez Pineda & Daniel Perez Liston, 2021. "The Effect of U.S. Investor Sentiment on Cross-Listed Securities Returns: A High-Frequency Approach," JRFM, MDPI, vol. 14(10), pages 1-15, October.
    22. Minghua Dong & Xiong Xiong & Xiao Li & Dehua Shen, 2018. "Weibo Attention and Stock Market Performance: Some Empirical Evidence," Complexity, Hindawi, vol. 2018, pages 1-8, September.
    23. Qadan, Mahmoud & Aharon, David Y. & Cohen, Gil, 2020. "Everybody likes shopping, including the US capital market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    24. Swamy, Vighneswara & Lagesh, M.A., 2023. "Does happy Twitter forecast gold price?," Resources Policy, Elsevier, vol. 81(C).
    25. Li, Yue & W. Goodell, John & Shen, Dehua, 2021. "Does happiness forecast implied volatility? Evidence from nonparametric wave-based Granger causality testing," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 113-122.
    26. Li, Xiao & Shen, Dehua & Xue, Mei & Zhang, Wei, 2017. "Daily happiness and stock returns: The case of Chinese company listed in the United States," Economic Modelling, Elsevier, vol. 64(C), pages 496-501.
    27. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2022. "Business Applications and State-Level Stock Market Realized Volatility: A Forecasting Experiment," Working Papers 202247, University of Pretoria, Department of Economics.
    28. Liu, Jian-Guo & Yang, Zhen-Hua & Li, Sheng-Nan & Yu, Chang-Rui, 2018. "A generative model for the collective attention of the Chinese stock market investors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1175-1182.
    29. Naeem, Muhammad Abubakr & Farid, Saqib & Faruk, Balli & Shahzad, Syed Jawad Hussain, 2020. "Can happiness predict future volatility in stock markets?," Research in International Business and Finance, Elsevier, vol. 54(C).
    30. Xiong, Xiong & Bian, Yuxiang & Shen, Dehua, 2018. "The time-varying correlation between policy uncertainty and stock returns: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 413-419.
    31. Ningyu Tang & Jingqiu Chen & Kaili Zhang & Thomas Li-Ping Tang, 2018. "Monetary Wisdom: How Do Investors Use Love of Money to Frame Stock Volatility and Enhance Stock Happiness?," Journal of Happiness Studies, Springer, vol. 19(6), pages 1831-1862, August.
    32. Shen, Dehua & Liu, Lanbiao & Zhang, Yongjie, 2018. "Quantifying the cross-sectional relationship between online sentiment and the skewness of stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 928-934.
    33. Chen, Qitong & Zhu, Huiming & Yu, Dongwei & Hau, Liya, 2022. "How does investor attention matter for crude oil prices and returns? Evidence from time-frequency quantile causality analysis," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    34. Li, Xiao, 2020. "When financial literacy meets textual analysis: A conceptual review," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
    35. Lee, Chien-Chiang & Chen, Mei-Ping, 2020. "Happiness sentiments and the prediction of cross-border country exchange-traded fund returns," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    36. Zuochao Zhang & Yongjie Zhang & Dehua Shen & Wei Zhang, 2018. "The Dynamic Cross-Correlations between Mass Media News, New Media News, and Stock Returns," Complexity, Hindawi, vol. 2018, pages 1-11, February.
    37. Li, Sufang & Zhang, Hu & Yuan, Di, 2019. "Investor attention and crude oil prices: Evidence from nonlinear Granger causality tests," Energy Economics, Elsevier, vol. 84(C).
    38. Al-Nasseri, Alya & Menla Ali, Faek, 2018. "What does investors' online divergence of opinion tell us about stock returns and trading volume?," Journal of Business Research, Elsevier, vol. 86(C), pages 166-178.
    39. Piñeiro-Chousa, Juan & López-Cabarcos, M.Ángeles & Caby, Jérôme & Šević, Aleksandar, 2021. "The influence of investor sentiment on the green bond market," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    40. Piñeiro-Chousa, Juan & López-Cabarcos, M. Ángeles & Šević, Aleksandar, 2022. "Green bond market and Sentiment: Is there a switching Behaviour?," Journal of Business Research, Elsevier, vol. 141(C), pages 520-527.
    41. Elie Bouri & Riza Demirer & David Gabauer & Rangan Gupta, 2020. "Sentiment and Financial Market Connectedness: The Role of Investor Happiness," Working Papers 202022, University of Pretoria, Department of Economics.
    42. Zhao, Ruwei & Xiong, Xiong & Shen, Dehua, 2018. "Investor attention and performance of IPO firms: Evidence from online searches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 342-348.
    43. Bouri, Elie & Demirer, Riza & Gabauer, David & Gupta, Rangan, 2022. "Financial market connectedness: The role of investors’ happiness," Finance Research Letters, Elsevier, vol. 44(C).
    44. You, Wanhai & Guo, Yawei & Peng, Cheng, 2017. "Twitter's daily happiness sentiment and the predictability of stock returns," Finance Research Letters, Elsevier, vol. 23(C), pages 58-64.
    45. Zhang, Zuochao & Zhang, Yongjie & Shen, Dehua & Zhang, Wei, 2018. "The cross-correlations between online sentiment proxies: Evidence from Google Trends and Twitter," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 67-75.
    46. Iqbal, Javid & Saeed, Abubakr, 2023. "Managerial sentiments, non-performing loans, and banks financial performance: A causal mediation approach," Chaos, Solitons & Fractals, Elsevier, vol. 171(C).

  13. Erlingsson, Einar Jon & Teglio, Andrea & Cincotti, Silvano & Stefansson, Hlynur & Sturlusson, Jon Thor & Raberto, Marco, 2014. "Housing market bubbles and business cycles in an agent-based credit economy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-42.
    See citations under working paper version above.
  14. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2012. "Debt, deleveraging and business cycles: An agent-based perspective," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-49.
    See citations under working paper version above.
  15. Silvano Cincotti & Marco Raberto & Andrea Teglio, 2012. "Macroprudential Policies in an Agent-Based Artificial Economy," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 205-234.
    See citations under working paper version above.
  16. Andrea Teglio & Marco Raberto & Silvano Cincotti, 2012. "The Impact Of Banks' Capital Adequacy Regulation On The Economic System: An Agent-Based Approach," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(supp0), pages 1-27.
    See citations under working paper version above.
  17. Cincotti, Silvano & Raberto, Marco & Teglio, Andrea, 2010. "Credit money and macroeconomic instability in the agent-based model and simulator Eurace," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 4, pages 1-32.
    See citations under working paper version above.
  18. Marco Raberto & Andrea Teglio & Silvano Cincotti, 2008. "Integrating Real and Financial Markets in an Agent-Based Economic Model: An Application to Monetary Policy Design," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 147-162, September.

    Cited by:

    1. Cincotti, Silvano & Raberto, Marco & Teglio, Andrea, 2010. "Credit money and macroeconomic instability in the agent-based model and simulator Eurace," Economics Discussion Papers 2010-4, Kiel Institute for the World Economy (IfW Kiel).
    2. Isabelle SALLE & Marc-Alexandre SENEGAS & Murat YILDIZOGLU, 2013. "How Transparent About Its Inflation Target Should a Central Bank be? An Agent-Based Model Assessment," Cahiers du GREThA (2007-2019) 2013-24, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    3. Michel Alexandre & Gilberto Tadeu Lima, 2020. "Combining monetary policy and prudential regulation: an agent-based modeling approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(2), pages 385-411, April.
    4. 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.
    5. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," Working Papers hal-04141079, HAL.
    6. Italo 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 2018-11, Centre d'Economie de l'Université de Paris Nord.
    7. Isabelle SALLE & Murat YILDIZOGLU & Marc-Alexandre SENEGAS, 2012. "Inflation targeting in a learning economy: An ABM perspective," Cahiers du GREThA (2007-2019) 2012-15, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    8. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2016. "An agent-based stock-flow consistent model of the sustainable transition in the energy sector," MPRA Paper 73183, University Library of Munich, Germany.
    9. Isabelle Salle & Marc-Alexandre Sénégas & Murat Yıldızoğlu, 2019. "How transparent about its inflation target should a central bank be?," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 391-427, March.
    10. 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.
    11. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).
    12. 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.
    13. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    14. Robert Jump, 2014. "Animal spirits and unemployment: a disequilibrium analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(2), pages 255-274, October.
    15. Silvano Cincotti & Marco Raberto & Andrea Teglio, 2022. "Why do we need agent-based macroeconomics?," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 5-29, April.
    16. 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).
    17. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    18. Jianjun Lu & Shozo Tokinaga, 2013. "Analysis of cluster formations on planer cells based on genetic programming," Computational and Mathematical Organization Theory, Springer, vol. 19(4), pages 426-445, December.
    19. Burgstaller Johann, 2010. "Bank Lending and Monetary Policy Transmission in Austria," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(2), pages 163-185, April.
    20. 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.
    21. Haber Gottfried, 2008. "Monetary and Fiscal Policy Analysis With an Agent-Based Macroeconomic Model," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 276-295, April.
    22. Ben-Alexander Cassell & Michael P. Wellman, 2012. "Asset pricing under ambiguous information: an empirical game-theoretic analysis," Computational and Mathematical Organization Theory, Springer, vol. 18(4), pages 445-462, December.
    23. Domenico Gatti & Saul Desiderio, 2015. "Monetary policy experiments in an agent-based model with financial frictions," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 265-286, October.
    24. Callum Rhys Tilbury, 2022. "Reinforcement Learning for Economic Policy: A New Frontier?," Papers 2206.08781, arXiv.org, revised Feb 2023.

  19. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2006. "A general equilibrium model of a production economy with asset markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 75-80.

    Cited by:

    1. Marco Raberto & Andrea Teglio & Silvano Cincotti, 2008. "Integrating Real and Financial Markets in an Agent-Based Economic Model: An Application to Monetary Policy Design," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 147-162, September.

  20. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2006. "A dynamic general disequilibrium model of a sequential monetary production economy," Chaos, Solitons & Fractals, Elsevier, vol. 29(3), pages 566-577.

    Cited by:

    1. Simone Casellina & Mariacristina Uberti, 2008. "Optimal Monetary Policy and Long-term Interest Rate Dynamics: Taylor Rule Extensions," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 183-198, September.
    2. Orlando Gomes, 2008. "Endogenous Growth, Price Stability and Market Disequilibria," Working Papers Series 1 ercwp0608, ISCTE-IUL, Business Research Unit (BRU-IUL).
    3. Robert Jump, 2014. "Animal spirits and unemployment: a disequilibrium analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(2), pages 255-274, October.
    4. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2006. "A general equilibrium model of a production economy with asset markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 75-80.
    5. Cajueiro, Daniel O. & Tabak, Benjamin M., 2007. "Time-varying long-range dependence in US interest rates," Chaos, Solitons & Fractals, Elsevier, vol. 34(2), pages 360-367.
    6. Marco Raberto & Andrea Teglio & Silvano Cincotti, 2008. "Integrating Real and Financial Markets in an Agent-Based Economic Model: An Application to Monetary Policy Design," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 147-162, September.

Chapters

  1. Andrea Teglio & Marco Raberto & Silvano Cincotti, 2011. "Do Capital Requirements Affect Long-Run Output Trends?," Lecture Notes in Economics and Mathematical Systems, in: Sjoukje Osinga & Gert Jan Hofstede & Tim Verwaart (ed.), Emergent Results of Artificial Economics, pages 41-52, Springer.

    Cited by:

    1. 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).

  2. Andrea Teglio & Marco Raberto & Silvano Cincotti, 2010. "Endogenous Credit Dynamics as Source of Business Cycles in the EURACE Model," Lecture Notes in Economics and Mathematical Systems, in: Marco Li Calzi & Lucia Milone & Paolo Pellizzari (ed.), Progress in Artificial Economics, pages 203-214, Springer.

    Cited by:

    1. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).
    2. 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).
    3. Andrea Teglio & Marco Raberto & Silvano Cincotti, 2012. "The Impact Of Banks' Capital Adequacy Regulation On The Economic System: An Agent-Based Approach," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(supp0), pages 1-27.

  3. Andrea Teglio & Marco Raberto & Silvano Cincotti, 2009. "Explaining Equity Excess Return by Means of an Agent-Based Financial Market," Lecture Notes in Economics and Mathematical Systems, in: Cesáreo Hernández & Marta Posada & Adolfo López-Paredes (ed.), Artificial Economics, chapter 0, pages 145-156, Springer.

    Cited by:

    1. Cincotti, Silvano & Raberto, Marco & Teglio, Andrea, 2010. "Credit money and macroeconomic instability in the agent-based model and simulator Eurace," Economics Discussion Papers 2010-4, Kiel Institute for the World Economy (IfW Kiel).
    2. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    3. 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).
    4. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.

  4. Marco Raberto & Andrea Teglio & Silvano Cincotti, 2008. "Prospect Theory Behavioral Assumptions in an Artificial Financial Economy," Lecture Notes in Economics and Mathematical Systems, in: Klaus Schredelseker & Florian Hauser (ed.), Complexity and Artificial Markets, chapter 5, pages 55-66, Springer.

    Cited by:

    1. Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2016. "Macroeconomic implications of mortgage loans requirements: An agent based approach," Working Papers 2016/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    2. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    3. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    4. Marko Petrovic & Bulent Ozel & Andrea Teglio & Marco Raberto & Silvano Cincotti, 2017. "Eurace Open: An agent-based multi-country model," Working Papers 2017/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    5. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.

  5. Marco Raberto & Andrea Teglio & Silvano Cincotti, 2007. "Monetary Policy Experiments in an Artificial Multi-Market Economy with Reservation Wages," Lecture Notes in Economics and Mathematical Systems, in: Andrea Consiglio (ed.), Artificial Markets Modeling, chapter 3, pages 33-44, Springer.

    Cited by:

    1. Marco Raberto & Andrea Teglio & Silvano Cincotti, 2008. "Integrating Real and Financial Markets in an Agent-Based Economic Model: An Application to Monetary Policy Design," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 147-162, September.

Books

  1. Andrea Teglio & Simone Alfarano & Eva Camacho-Cuena & Miguel Ginés-Vilar (ed.), 2013. "Managing Market Complexity," Lecture Notes in Economics and Mathematical Systems, Springer, edition 127, number 978-3-642-31301-1, October.

    Cited by:

    1. Thomas Fischer, 2017. "Can Redistribution by Means of a Progressive Labor Income-Taxation Transfer System Increase Financial Stability?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(2), pages 1-3.
    2. Mikhail Anufriev & Cars Hommes & Tomasz Makarewicz, 2015. "Simple Forecasting Heuristics that Make us Smart: Evidence from Different Market Experiments," Working Paper Series 29, Economics Discipline Group, UTS Business School, University of Technology, Sydney.

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