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A Short Walk on the Wild Side: Agent-Based Models and their Implications for Macroeconomic Analysis

Author

Listed:
  • Mauro Napoletano

    (OFCE Sciences-Po
    SKEMA Business School)

Abstract

I discuss recent advances in agent-based modelling applied to macroeconomic analysis. I first present the building blocks of agent- based models. Furthermore, by relying on examples taken from recent works, I argue that agent-based models provide complementary or new lights with respect to more standard models on key macroeconomic issues like endogenous business cycles, the interactions between business cycles and long-run growth, and the role of price vs. quantity adjustments in the return to full employment. Finally, I discuss some limits of agentbased models and how they are currently addressed in the literature.

Suggested Citation

  • Mauro Napoletano, 2017. "A Short Walk on the Wild Side: Agent-Based Models and their Implications for Macroeconomic Analysis," GREDEG Working Papers 2017-40, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), University of Nice Sophia Antipolis.
    • Handle: RePEc:gre:wpaper:2017-40
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    References listed on IDEAS

    as
    1. Balint, T. & Lamperti, F. & Mandel, A. & Napoletano, M. & Roventini, A. & Sapio, A., 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Ecological Economics, Elsevier, vol. 138(C), pages 252-265.
    2. Junjie Sun & Leigh Tesfatsion, 2007. "Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 291-327, October.
    3. Popoyan, Lilit & Napoletano, Mauro & Roventini, Andrea, 2017. "Taming macroeconomic instability: Monetary and macro-prudential policy interactions in an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 117-140.
    4. Jean-Luc Gaffard, 2017. "Vers une macroéconomie non-walrasienne," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(4), pages 265-288.
    5. Tommaso Ciarli & André Lorentz & Maria Savona & Marco Valente, 2010. "The Effect Of Consumption And Production Structure On Growth And Distribution. A Micro To Macro Model," Metroeconomica, Wiley Blackwell, vol. 61(1), pages 180-218, February.
    6. Mauro Napoletano & Giovanni Dosi & Giorgio Fagiolo & Andrea Roventini, 2012. "Wage Formation, Investment Behavior and Growth Regimes: An Agent-Based Analysis," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 235-261.
    7. Ashraf, Quamrul & Gershman, Boris & Howitt, Peter, 2017. "Banks, market organization, and macroeconomic performance: An agent-based computational analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 143-180.
    8. Farmer, Roger E.A., 2016. "The Evolution Of Endogenous Business Cycles," Macroeconomic Dynamics, Cambridge University Press, vol. 20(02), pages 544-557, March.
    9. Mario Amendola & Jean-Luc Gaffard & Francesco Saraceno, 2004. "Wage Flexibility and Unemployment: The Keynesian Perspective Revisited," Scottish Journal of Political Economy, Scottish Economic Society, vol. 51(5), pages 654-674, November.
    10. Salle, Isabelle L., 2015. "Modeling expectations in agent-based models — An application to central bank's communication and monetary policy," Economic Modelling, Elsevier, vol. 46(C), pages 130-141.
    11. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    12. Mandel, Antoine & Landini, Simone & Gallegati, Mauro & Gintis, Herbert, 2015. "Price dynamics, financial fragility and aggregate volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 257-277.
    13. Baumol, William J & Benhabib, Jess, 1989. "Chaos: Significance, Mechanism, and Economic Applications," Journal of Economic Perspectives, American Economic Association, vol. 3(1), pages 77-105, Winter.
    14. Peter Howitt, 2006. "The Microfoundations of the Keynesian Multiplier Process," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 1(1), pages 33-44, May.
    15. repec:eee:dyncon:v:81:y:2017:i:c:p:162-186 is not listed on IDEAS
    16. Dosi, Giovanni & Fagiolo, Giorgio & Napoletano, Mauro & Roventini, Andrea, 2013. "Income distribution, credit and fiscal policies in an agent-based Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1598-1625.
    17. 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.
    18. Dosi, G. & Pereira, M.C. & Roventini, A. & Virgillito, M.E., 2017. "When more flexibility yields more fragility: The microfoundations of Keynesian aggregate unemployment," Journal of Economic Dynamics and Control, Elsevier, vol. 81(C), pages 162-186.
    19. Peter Howitt, 1986. "Wage Flexibility and Employment," Eastern Economic Journal, Eastern Economic Association, vol. 12(3), pages 237-242, Jul-Sep.
    20. Alan P. Kirman, 1992. "Whom or What Does the Representative Individual Represent?," Journal of Economic Perspectives, American Economic Association, vol. 6(2), pages 117-136, Spring.
    21. Diego Comin & Mark Gertler, 2006. "Medium-Term Business Cycles," American Economic Review, American Economic Association, vol. 96(3), pages 523-551, June.
    22. repec:spo:wpecon:info:hdl:2441/f4rshpf3v1umfa09l8sci08kj is not listed on IDEAS
    23. Edouard Challe & Xavier Ragot, 2011. "Fiscal Policy in a Tractable Liquidity‐Constrained Economy," Economic Journal, Royal Economic Society, vol. 121(551), pages 273-317, March.
    24. Michael Woodford, 2013. "Macroeconomic Analysis Without the Rational Expectations Hypothesis," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 303-346, May.
    25. Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Russo, Alberto & Stiglitz, Joseph E., 2010. "The financial accelerator in an evolving credit network," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1627-1650, September.
    26. Grandmont, Jean-Michel, 1985. "On Endogenous Competitive Business Cycles," Econometrica, Econometric Society, vol. 53(5), pages 995-1045, September.
    27. Giovanni Dosi & Maria Enrica Virgillito, 2016. "In order to stand up you must keep cycling: change and coordination in complex evolving economies," LEM Papers Series 2016/39, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    28. Dosi, Giovanni & Fagiolo, Giorgio & Napoletano, Mauro & Roventini, Andrea & Treibich, Tania, 2015. "Fiscal and monetary policies in complex evolving economies," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 166-189.
    29. Russo, Alberto & Catalano, Michele & Gaffeo, Edoardo & Gallegati, Mauro & Napoletano, Mauro, 2007. "Industrial dynamics, fiscal policy and R&D: Evidence from a computational experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 64(3-4), pages 426-447.
    30. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2016. "Does Inequality Hamper Innovation and Growth?," MPRA Paper 71864, University Library of Munich, Germany.
    31. Dosi, Giovanni & Fagiolo, Giorgio & Roventini, Andrea, 2010. "Schumpeter meeting Keynes: A policy-friendly model of endogenous growth and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1748-1767, September.
    32. Hommes,Cars, 2015. "Behavioral Rationality and Heterogeneous Expectations in Complex Economic Systems," Cambridge Books, Cambridge University Press, number 9781107564978, January.
    33. Carlin, Wendy & Soskice, David, 2014. "Macroeconomics: Institutions, Instability, and the Financial System," OUP Catalogue, Oxford University Press, number 9780199655793.
    34. Arifovic, Jasmina & Dawid, Herbert & Deissenberg, Christophe & Kostyshyna, Olena, 2010. "Learning benevolent leadership in a heterogenous agents economy," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1768-1790, September.
    35. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2017. "Micro and macro policies in the Keynes+Schumpeter evolutionary models," Journal of Evolutionary Economics, Springer, vol. 27(1), pages 63-90, January.
    36. Guerini, Mattia & Moneta, Alessio, 2017. "A method for agent-based models validation," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 125-141.
    37. 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.
    38. Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.
    39. 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).
    40. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    41. LeBaron, Blake, 2006. "Agent-based Computational Finance," Handbook of Computational Economics,in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 24, pages 1187-1233 Elsevier.
    42. Gatti, Domenico Delli & Guilmi, Corrado Di & Gaffeo, Edoardo & Giulioni, Gianfranco & Gallegati, Mauro & Palestrini, Antonio, 2005. "A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 489-512, April.
    43. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Agent-based models and economic policy," Sciences Po publications info:hdl:2441/53r60a8s3ku, Sciences Po.
    44. Assenza, Tiziana & Delli Gatti, Domenico & Grazzini, Jakob, 2015. "Emergent dynamics of a macroeconomic agent based model with capital and credit," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 5-28.
    45. Turrell, Arthur, 2016. "Agent-based models: understanding the economy from the bottom up," Bank of England Quarterly Bulletin, Bank of England, vol. 56(4), pages 173-188.
    46. Tesfatsion, Leigh, 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Handbook of Computational Economics,in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 16, pages 831-880 Elsevier.
    47. Mandel, Antoine & Landini, Simone & Gallegati, Mauro & Gintis, Herbert, 2015. "Price dynamics, financial fragility and aggregate volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 257-277.
    48. Howitt, Peter & Clower, Robert, 2000. "The emergence of economic organization," Journal of Economic Behavior & Organization, Elsevier, vol. 41(1), pages 55-84, January.
    49. Howitt, Peter, 2012. "What have central bankers learned from modern macroeconomic theory?," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 11-22.
    50. Neugart, Michael, 2008. "Labor market policy evaluation with ACE," Journal of Economic Behavior & Organization, Elsevier, vol. 67(2), pages 418-430, August.
    51. repec:spo:wpecon:info:hdl:2441/53r60a8s3kup1vc9l564igg8g is not listed on IDEAS
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    Keywords

    agent-based models; macroeconomic analysis; endogenous business-cycles; short and long-run dynamics; monetary and fiscal policy; price vs. quantity adjustments;

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • B50 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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