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Agent-based modeling and economic theory: where do we stand?

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  • Gerard Ballot
  • Antoine Mandel
  • Annick Vignes

Abstract

This paper provides a survey of the development and contributions of agent-based modeling to economic analysis, without any claim to be exhaustive. Our perspective is particularly shaped by the papers presented at the 17th Wehia conference, a selection of which are published in this special issue. The paper shows how agent-based models have developed, and how they have improved our understanding not only of macroeconomic disequilibria but also of the possibilities of the emergence of equilibrium in such realistic systems. It also reviews the progress made in our understanding of real markets, and lists some of the improvements needed to establish these models as alternative tools to the present orthodox models. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Gerard Ballot & Antoine Mandel & Annick Vignes, 2015. "Agent-based modeling and economic theory: where do we stand?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 199-220, October.
  • Handle: RePEc:spr:jeicoo:v:10:y:2015:i:2:p:199-220
    DOI: 10.1007/s11403-014-0132-6
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    1. Philippe Aghion & Diego Comin & Peter Howitt & Isabel Tecu, 2016. "When Does Domestic Savings Matter for Economic Growth?," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 64(3), pages 381-407, August.
    2. Mandel, Antoine & Gintis, Herbert, 2014. "Stochastic stability in the Scarf economy," Mathematical Social Sciences, Elsevier, vol. 67(C), pages 44-49.
    3. Grandmont, Jean-Michel, 1987. "Distributions of Preferences and the 'Law of Demand.'," Econometrica, Econometric Society, vol. 55(1), pages 155-161, January.
    4. Samuel Thiriot & Zach Lewkovicz & Philippe Caillou & Jean-Daniel Kant, 2011. "Referral Hiring and Labor Markets: a Computational Study," Lecture Notes in Economics and Mathematical Systems, in: Sjoukje Osinga & Gert Jan Hofstede & Tim Verwaart (ed.), Emergent Results of Artificial Economics, pages 15-25, Springer.
    5. Seppecher, Pascal, 2012. "Flexibility Of Wages And Macroeconomic Instability In An Agent-Based Computational Model With Endogenous Money," Macroeconomic Dynamics, Cambridge University Press, vol. 16(S2), pages 284-297, September.
    6. Mantel, Rolf R., 1974. "On the characterization of aggregate excess demand," Journal of Economic Theory, Elsevier, vol. 7(3), pages 348-353, March.
    7. Michel DE VROEY & Pierre MALGRANGE, 2011. "The History of Macroeconomics from Keynes’s General Theory to the Present," LIDAM Discussion Papers IRES 2011028, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    8. Assenza, Tiziana & Delli Gatti, Domenico, 2013. "E Pluribus Unum: Macroeconomic modelling for multi-agent economies," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1659-1682.
    9. Bulow, Jeremy & Klemperer, Paul, 1996. "Auctions versus Negotiations," American Economic Review, American Economic Association, vol. 86(1), pages 180-194, March.
    10. Isabelle Salle & Murat Yildizoglu & Martin Zumpe & Marc-Alexandre Sénégas, 2012. "Modelling social learning in an Agent-Based new keynesian macroeconomic model," Post-Print hal-00779045, HAL.
    11. Fagiolo, Giorgio & Dosi, Giovanni, 2003. "Exploitation, exploration and innovation in a model of endogenous growth with locally interacting agents," Structural Change and Economic Dynamics, Elsevier, vol. 14(3), pages 237-273, September.
    12. Vignes, Annick & Etienne, Jean-Michel, 2011. "Price formation on the Marseille fish market: Evidence from a network analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 80(1), pages 50-67.
    13. Jean-Pascal Benassy, 1975. "Neo-Keynesian Disequilibrium Theory in a Monetary Economy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 42(4), pages 503-523.
    14. Weisbuch, Gerard & Kirman, Alan & Herreiner, Dorothea, 2000. "Market Organisation and Trading Relationships," Economic Journal, Royal Economic Society, vol. 110(463), pages 411-436, April.
    15. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    16. Orcutt, Guy H., 1990. "From engineering to microsimulation : An autobiographical reflection," Journal of Economic Behavior & Organization, Elsevier, vol. 14(1), pages 5-27, September.
    17. Eliasson, Gunnar, 1984. "Micro heterogeneity of firms and the stability of industrial growth," Journal of Economic Behavior & Organization, Elsevier, vol. 5(3-4), pages 249-274.
    18. Orcutt, Guy H., 1990. "The microanalytic approach for modeling national economies," Journal of Economic Behavior & Organization, Elsevier, vol. 14(1), pages 29-41, September.
    19. 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.
    20. Ballot, Gerard, 2002. "Modeling the labor market as an evolving institution: model ARTEMIS," Journal of Economic Behavior & Organization, Elsevier, vol. 49(1), pages 51-77, September.
    21. 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.
    22. Philippe Aghion & Peter Howitt, 2009. "The Economics of Growth," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262012634, April.
    23. Young, H Peyton, 1993. "The Evolution of Conventions," Econometrica, Econometric Society, vol. 61(1), pages 57-84, January.
    24. 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.
    25. Edoardo Gaffeo & Mauro Gallegati & Umberto Gostoli, 2015. "An agent-based “proof of principle” for Walrasian macroeconomic theory," Computational and Mathematical Organization Theory, Springer, vol. 21(2), pages 150-183, June.
    26. Isabelle Salle & Murat Yıldızoğlu, 2014. "Efficient Sampling and Meta-Modeling for Computational Economic Models," Computational Economics, Springer;Society for Computational Economics, vol. 44(4), pages 507-536, December.
    27. 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.
    28. Eliasson, Gunnar, 1977. "Competition and Market Processes in a Simulation Model of the Swedish Economy," American Economic Review, American Economic Association, vol. 67(1), pages 277-281, February.
    29. Silverberg, Gerald & Verspagen, Bart, 1994. "Collective Learning, Innovation and Growth in a Boundedly Rational, Evolutionary World," Journal of Evolutionary Economics, Springer, vol. 4(3), pages 207-226, September.
    30. van der Leij Marco & Goyal Sanjeev, 2011. "Strong Ties in a Small World," Review of Network Economics, De Gruyter, vol. 10(2), pages 1-22, June.
    31. Gintis Herbert, 2006. "The Emergence of a Price System from Decentralized Bilateral Exchange," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 6(1), pages 1-17, December.
    32. J. Doyne Farmer & Duncan Foley, 2009. "The economy needs agent-based modelling," Nature, Nature, vol. 460(7256), pages 685-686, August.
    33. Christophe Deissenberg & Sander van Der Hoog & Herbert Dawid, 2008. "EURACE: A Massively Parallel Agent-Based Model of the European Economy," Working Papers halshs-00339756, HAL.
    34. Chiaromonte, Francesca & Dosi, Giovanni, 1993. "Heterogeneity, competition, and macroeconomic dynamics," Structural Change and Economic Dynamics, Elsevier, vol. 4(1), pages 39-63, June.
    35. Herbert Gintis, 2007. "The Dynamics of General Equilibrium," Economic Journal, Royal Economic Society, vol. 117(523), pages 1280-1309, October.
    36. Rachel E. Kranton & Deborah F. Minehart, 2000. "Networks versus Vertical Integration," RAND Journal of Economics, The RAND Corporation, vol. 31(3), pages 570-601, Autumn.
    37. Mandel Antoine & Botta Nicola, 2009. "A Note on Herbert Gintis' "Emergence of a Price System from Decentralized Bilateral Exchange"," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 9(1), pages 1-18, December.
    38. Xavier Gabaix, 1999. "Zipf's Law for Cities: An Explanation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 739-767.
    39. Bezemer, Dirk J., 2010. "Understanding financial crisis through accounting models," Accounting, Organizations and Society, Elsevier, vol. 35(7), pages 676-688, October.
    40. 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.
    41. Barbara R. Bergmann, 1974. "A Microsimulation of the Macroeconomy with Explicitly Represented Money Flows," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 3, pages 475-489, National Bureau of Economic Research, Inc.
    42. Harold W. Guthrie & Guy H. Orcutt & Gerald E. Peabody & Steven Caldwell & George Sadowsky, 1972. "Microanalytic Simulation of Household Behavior," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 1, number 2, pages 141-169, National Bureau of Economic Research, Inc.
    43. Eliasson, Gunnar, 1991. "Modeling the experimentally organized economy : Complex dynamics in an empirical micro-macro model of endogenous economic growth," Journal of Economic Behavior & Organization, Elsevier, vol. 16(1-2), pages 153-182, July.
    44. Nelson, Richard R & Winter, Sidney G, 1974. "Neoclassical vs. Evolutionary Theories of Economic Growth: Critique and Prospectus," Economic Journal, Royal Economic Society, vol. 84(336), pages 886-905, December.
    45. Mark Pingle & Leigh Tesfatsion, 2004. "Evolution Of Worker-Employer Networks And Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Study," World Scientific Book Chapters, in: Roberto Leombruni & Matteo Richiardi (ed.), Industry And Labor Dynamics The Agent-Based Computational Economics Approach, chapter 8, pages 129-163, World Scientific Publishing Co. Pte. Ltd..
    46. Bruce C. Greenwald & Joseph E. Stiglitz, 1993. "Financial Market Imperfections and Business Cycles," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 77-114.
    47. Diego Moreno & John Wooders, 2010. "Decentralized Trade Mitigates The Lemons Problem," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(2), pages 383-399, May.
    48. Milgrom,Paul, 2004. "Putting Auction Theory to Work," Cambridge Books, Cambridge University Press, number 9780521536721, September.
    49. Michel De Vroey & Pierre Malgrange, 2016. "Macroeconomics," Chapters, in: Gilbert Faccarello & Heinz D. Kurz (ed.), Handbook on the History of Economic Analysis Volume III, chapter 27, pages 372-390, Edward Elgar Publishing.
    50. Gourieroux, C & Monfort, A & Renault, E, 1993. "Indirect Inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages 85-118, Suppl. De.
    51. Omar A. Guerrero & Robert L. Axtell, 2011. "Using Agentization for Exploring Firm and Labor Dynamics," Lecture Notes in Economics and Mathematical Systems, in: Sjoukje Osinga & Gert Jan Hofstede & Tim Verwaart (ed.), Emergent Results of Artificial Economics, pages 139-150, Springer.
    52. Dawid, Herbert, 2007. "Evolutionary game dynamics and the analysis of agent-based imitation models: The long run, the medium run and the importance of global analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2108-2133, June.
    53. Gode, Dhananjay K & Sunder, Shyam, 1993. "Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 119-137, February.
    54. Barro, Robert J & Grossman, Herschel I, 1971. "A General Disequilibrium Model of Income and Employment," American Economic Review, American Economic Association, vol. 61(1), pages 82-93, March.
    55. Jean-Philippe Bouchaud, 2008. "Economics need a scientific revolution," Papers 0810.5306, arXiv.org.
    56. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
    57. Erol Taymaz & G, rard Ballot, 1997. "The dynamics of firms in a micro-to-macro model: The role of training, learning and innovation," Journal of Evolutionary Economics, Springer, vol. 7(4), pages 435-457.
    58. Jean-Philippe Bouchaud, 2008. "Economics needs a scientific revolution," Nature, Nature, vol. 455(7217), pages 1181-1181, October.
    59. Lengnick, Matthias & Krug, Sebastian & Wohltmann, Hans-Werner, 2013. "Money creation and financial instability: An agent-based credit network approach," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-44.
    60. Leijonhufvud, Axel, 2006. "Agent-Based Macro," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 36, pages 1625-1637, Elsevier.
    61. Debreu, Gerard, 1974. "Excess demand functions," Journal of Mathematical Economics, Elsevier, vol. 1(1), pages 15-21, March.
    62. Cheng, Wenli & Yang, Xiaokai, 2004. "Inframarginal analysis of division of labor: A survey," Journal of Economic Behavior & Organization, Elsevier, vol. 55(2), pages 137-174, October.
    63. -, 2009. "Economic growth in the Caribbean," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38668, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    64. Gérard Ballot & Erol Taymaz, 1999. "Technological Change, Learning and Macro-Economic Coordination: an Evolutionary Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 2(2), pages 1-3.
    65. Sonnenschein, Hugo, 1973. "Do Walras' identity and continuity characterize the class of community excess demand functions?," Journal of Economic Theory, Elsevier, vol. 6(4), pages 345-354, August.
    66. Rachel E. Kranton & Deborah F. Minehart, 2001. "A Theory of Buyer-Seller Networks," American Economic Review, American Economic Association, vol. 91(3), pages 485-508, June.
    67. Iori, G. & Porter, J., 2012. "Agent-Based Modelling for Financial Markets," Working Papers 12/08, Department of Economics, City University London.
    68. 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.
    69. Gauvin, Laetitia & Vignes, Annick & Nadal, Jean-Pierre, 2013. "Modeling urban housing market dynamics: Can the socio-spatial segregation preserve some social diversity?," Journal of Economic Dynamics and Control, Elsevier, vol. 37(7), pages 1300-1321.
    70. Herbert E. Scarf, 1967. "On the Computation of Equilibrium Prices," Cowles Foundation Discussion Papers 232, Cowles Foundation for Research in Economics, Yale University.
    71. Giorgio Fagiolo & Alessio Moneta & Paul Windrum, 2007. "A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 195-226, October.
    72. Alan Kirman & Sonia Moulet, 2008. "Impact de l'organisation du marché: Comparaison de la négociation de gré à gré et des enchères descendantes," Working Papers halshs-00349034, HAL.
    73. 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.
    74. Arvid Oskar Ivar Hoffmann & Wander Jager & J. H. Von Eije, 2007. "Social Simulation of Stock Markets: Taking It to the Next Level," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-7.
    75. Pingle, Mark & Tesfatsion, Leigh, 2003. "Evolution of Worker-Employer Networks and Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Approach," Staff General Research Papers Archive 10376, Iowa State University, Department of Economics.
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    Keywords

    Agent-based modeling; Heterogeneity; Economic thought; B5; C8;
    All these keywords.

    JEL classification:

    • B5 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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