Skip to main content
Log in

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

Introduction to the special issue of the 17th WEHIA conference

  • Regular Article
  • Published:
Journal of Economic Interaction and Coordination Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. Similar definitions are proposed by Gallegati and Richiardi (2009).

  2. The program is available at http://ermes.u-paris2.fr/Wehia_2012/pdf/Program_WEHIA.

  3. Ballot (1987) offers a typology of the microsimulation models in 9 classes and the view that ABMs correspond to the best theoretically grounded classes of microsimulation models.

  4. Orcutt’ autobiography (Orcutt 1990a) makes this extremely clear.

  5. Baroni and Richiardi (2007) provide a recent and compact survey of Orcutt’s methodology and diverse types of microsimulation models, but do not investigate the relations with ABMs.

  6. Although some models simulate cohorts that do not interact, in order to avoid the modeling complexities and the computational load induced by interactions.

  7. See Baroni and Richiardi (2007, p. 27), for the specifications.

  8. This may not pay tribute to some other pioneers who did a less comprehensive research over time. See Orcutt (1990). Moreover we leave aside some ABMs of markets built in the 70s. They will be mentioned below.

  9. The full description of the model is given by Bennett and Bergmann (1986), on which we rely here.

  10. The model has given birth to over 50 publications and extended versions are still being developed. The model is fully documented in a series of books, notably the version for PC by Taymaz (1991).

  11. If perfect rationality is unique, each orthodox researcher makes a huge number of assumptions on the environment which are his own choice and arbitrary.

  12. There exists a huge literature on the theory of search but, as far as we know, individual strategies are given exogenously and what is considered is not the emergence of different search strategies but the influence of a priori strategies on the outcomes.

  13. Fagiolo et al. (2007) review the many problems involved.

  14. The Krieging method is a method of interpolation which predicts unknown values from data observed at known locations. This method uses variogram to express the spatial variation , and it minimizes the error of predicted values which are estimated by spatial distribution of the predicted values.

References

  • Aghion P, Howitt P (2009) The economics of growth. The MIT Press, Cambridge

    Google Scholar 

  • Aoki M, Yoshikawa H (2011) Reconstructing macroeconomics: a perspective from statistical physics and combinatorial stochastic processes. Cambridge University Press, Cambridge

    Google Scholar 

  • Ashraf Q, Gershman B, Howitt P (2011) Banks, market organization, and macroeconomic performance: an agent-based computational analysis. Discussion paper w17102, National Bureau of Economic Research

  • Assenza T, Delli Gatti D (2013) E pluribus unum: macroeconomic modelling for multi-agent economies. J Econ Dyn Control Elsevier 37(8):1659–1682

    Article  Google Scholar 

  • Ballot G (1987) Rapport sur la modélisation microanalytique. Commissariat Général du Plan, France

    Google Scholar 

  • Ballot, G. (1988) Changement de Régulation dans un modèle du Marché du Travail dans D. KESSLER (sous la direction de), Economie Sociale, CNRS Press, Paris pp 15–35

  • Ballot G (2002) Modeling the labour market as an evolving institution: model artemis. J Econ Behav Organ 49(1):51–77

    Article  Google Scholar 

  • Ballot G, Taymaz E (1997) The dynamics of firms in a micro-macro model with training. learning and innovation. J Evol Econ 7(4):435–457

    Article  Google Scholar 

  • Ballot G, Taymaz E (1998) Human capital, technological lock-in and evolutionary dynamics. In: Eliasson G, Green C (eds) Microfoundations of economic growth. A Schumpeterian perspective. The University of Michigan Press, Ann Arbor

    Google Scholar 

  • Ballot G, Taymaz E (1999) Technological change, organizational learning and macroeconomic coordination: an evolutionary model. J Artif Soc Soc Simul (JASSS) 2(2)

  • Ballot G, Goudet O and Kant J-D (2013) Modeling both sides of the French labor market with adaptive agents under bounded rationality, EAEPE 2013 Conference 7–9 November

  • Bargigli L, Gallegati M, Riccetti L and Russo A (2014) Network analysis and calibration of the leveraged network-based financial accelerator. J Econ Behav Organ (forthcoming)

  • Baroni E, Richiardi M (2007) Orcutt’s vision, 50 years on, Laboratorio Revelli, working paper 65, October

  • Barro R, Grossman H (1971) A general disequilibrium model of income and employment. Am Econ Rev 61:82–93

    Google Scholar 

  • Battiston S, Delli Gatti D, Gallegati M, Greenwald B, Stiglitz JE (2007) Credit chains and bankruptcies avalanches in supply networks. J Econ Dyn Control 31(6):2061–2084

  • Beeboot H (1986) Evaluating reagan administration social program changes: two aplications of math. In: Orcutt G, Merz J, Quinke H (eds) Microanalytic simulation models to support social and financial policy. North Holland, Amsterdam

  • Benassy JP (1975) Neo-Keynesian disequilibrium theory in a monetary economy. Rev Econ Stud 42(4):503–523

  • Bennett R, Bergmann B (1986) A microsimulated model of the United States Economy. The John Hopkins University Press, Baltimore

    Google Scholar 

  • Bergmann B (1974) A microsimulation of the macroeconomy with explicitly represented money flows. Ann Econ Soc Measur 3:475–479

    Google Scholar 

  • Bezemer D (2010) Understanding financial crisis through accounting models. Account Organ Soc 35:676–688

    Article  Google Scholar 

  • Bulow J, Klemperer P (1996) Auctions versus negotiations. Am Econ Rev 86:180–194

    Google Scholar 

  • Bouchaud (2008) Economics needs a scientific revolution. Nature 455(7217):1181

  • Chan NT, LeBaron B, Lo AW, Poggio T (1999) Agent-based models of financial markets: a comparison with experimental markets. MIT artificial markets project

  • Cheng W, Yang X (2004) Inframarginal analysis of division of labor: a survey. J Econ Behav Organ 55(2):137–174

    Google Scholar 

  • Chiaromonte F, Dosi G (1993) Heterogeneity, competition and macroeconomic dynamics. Struct Change Econ Dyn 4:39–63

    Article  Google Scholar 

  • Dawid H (2006) Agent-based models of innovation and technological change. In: Tesfatsion L and Judd K (eds) Handbook of computational economics 2, 1235–1272

  • Dawid H (2007) Evolutionary game dynamics and the analysis of agent-based imitation models: the long run, the medium run and the importance of a global analysis. J Econ Dyn Control 31:2108–213

    Article  Google Scholar 

  • Dawid H, Gemkow S, Harting P, Neugart M (2012a) Labor market integration policies and the convergence of regions: the role of skills and technology diffusion. J Evol Econ 22:79–108

    Article  Google Scholar 

  • Dawid H, Gemkow S, Harting P, van der Hoog S, Neugart M (2012b) Agent-based makroeconomic modeling and policy analysis: the eurace@unibi model. In: Chen S-H, Kaboudan M (eds) Handbook of computational economics and finance. Oxford University Press, Oxford

    Google Scholar 

  • Debreu G (1974) Excess demand functions. J Math Econ 1:15–23

    Article  Google Scholar 

  • Delli Gatti D, Gallegati M, Greenwald B, Russo A, Stiglitz JE (2010) The financial accelerator in an evolving credit network. J Econ Dyn Control 34(9):1627–1650

    Article  Google Scholar 

  • Delli Gatti D, Guilmi CD, Gaffeo E, Giulioni G, Gallegati M, Palestrini A (2005) A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility. J Econ Behav Organ 56(4):489–512

    Article  Google Scholar 

  • Deissenberg C, van der Hoog S, Dawid H (2008) EURACE: A massively parallel agent-based model of the European economy. Appl Math Comput 204(2):541–552

    Article  Google Scholar 

  • De Vroey M, Malgrange P (2011) The history of macroeconomics from Keyness General Theory to the Present. IRES Discussion Papers 2011028, Université catholique de Louvain

  • Di Guilmi C, Landini S and Gallegati M (2013) Interactive macroeconomics, microfoundation framework via a stochastically dynamic aggregation of heterogeneous agents, forthcoming

  • Dosi G, Fagiolo G, Roventini A (2010) Schumpeter meeting keynes: a policy-friendly model of endogenous growth and business cycles. J Econ Dyn Control 34(9):1748–1767

    Article  Google Scholar 

  • Dosi G, Fagiolo G, Napoletano M, Roventini A (2013) Income distribution, credit and fiscal policies in an agent-based keynesian model. J Econ Dyn Control 37(8):1598–1625

    Article  Google Scholar 

  • Drèze JH (1975) Existence of equilibrium under price rigidities. Int Econ Rev 16:301–20

    Article  Google Scholar 

  • Eliasson C (1976) Business economic planning. Wiley, New York

    Google Scholar 

  • Eliasson G (1977), Competition and market processes in a simulation model of the Swedish economy. Am Econ Rev (67)1

  • Eliasson G (1984) Micro-heterogeneity of firms and the stability of industrial growth. J Econ Behav Organ 5:249–274

    Article  Google Scholar 

  • Eliasson G (1991a) Modelling the experimentally organized economy. complex dynamics in an empirical micro-macro model of endogenous economic growth. J Econ Behav Organ 13:273–298

    Google Scholar 

  • Eliasson G (1991b) Deregulation, innovative entry and structural diversity as a source of stable and rapid economic growth. J Evol Econ 1:49–63

    Article  Google Scholar 

  • Fagiolo G, Dosi G (2003) Exploitation, exploration and innovation in a model of endogenous growth with locally interacting agents. Struct Change Econ Dyn 14:237–273

    Article  Google Scholar 

  • Fagiolo G, Moneta A, Windrum P (2007) A critical guide to empirical validation of agent-based models in economics: methodologies. Proced Open Probl Comput Econ 30:195–226

    Google Scholar 

  • Farmer DFJ, Foley D (2009) The economy needs agent-based modelling. Nature 460(6):685–686

    Article  Google Scholar 

  • Gabaix X (1999) Zipf’s law for cities: an explanation. Q J Econ 114(3):739–767

    Article  Google Scholar 

  • Gaffeo E, Gallegati M and Gostoli U (2012) An agent-based proof of principle for Walrasian macroeconomic theory, CEEL Working Papers 1202, Department of Economics, University of Trento, Italia

  • Gallegati M, Richiardi MG (2009) Agent based models in economics and complexity. encyclopedia of complexity and systems science. Springer, New York, pp 200–224

    Chapter  Google Scholar 

  • Gallegati M, Giulioni G, Kirman A and Palestrini A (2011) What’s that got to do with the price of fish? Buyer’s behavior on the ancona Fish Market. J Econ Behav Organ 80(1):20–33

  • Galler HP, Wagner G (1986) The microsimulation model of the Sfb3 for the analysos of economic and social policies. In: Orcutt G, Merz J, Quinke H (eds) Microanalytic simulation models to support social and financial policy. North Holland, Amsterdam, pp 227–247

  • Gauvin L, Vignes A, Nadal J-P (2013) Modeling urban housing market dynamics: can the socio-spatial segregation preserve some social diversity? J Econ Dyn Control Elsevier 37(7):1300–1321

    Article  Google Scholar 

  • Gell-Mann M (1995) The quark and the jaguar: adventures in the simple and the complex. St Martin’s press, New York

    Google Scholar 

  • Gintis H (2006) The emergence of a price system from decentralized bilateral exchange. B E J Theor Econ 6:1302–1322

    Google Scholar 

  • Gintis H (2007) The dynamics of general equilibrium. Econ J 117(523):1280–1309

    Article  Google Scholar 

  • Gode DK, Sunder S (1993) Allocative efficiency of markets with zero-intelligence traders: market as a partial substitute for individual rationality. J Polit Econ 101(1):119–137

  • Gouriéroux C, Monfort A, Renault E (1993) Indirect inference. J Appl Econom 8(S):85–118

    Article  Google Scholar 

  • Grandmont J-M (1987) Distributions of preferences and the law of demand. Econometrica 55:155–161

    Article  Google Scholar 

  • Granovetter M (1973) The strength of weak ties. Am J Sociol 78(6):1

    Article  Google Scholar 

  • Greenwald BC, Stiglitz JE (1993) Financial market imperfections and business cycles. Q J Econ 108(1):77–114

    Article  Google Scholar 

  • Grossman SJ and Stiglitz JE (1980) On the impossibility of informationally efficient markets. Am Econ Rev 70:393–408

  • Gualdi S, Tarzia M, Zamponi F, Bouchaud J-P (2013) Tipping points in macroeconomic agent-based models. Eprint arXiv:1307.5319

  • Guerrero OA, Axtell RL (2011) Using agentization for exploring firm and labor dynamics emergent results of artificial economics. Lect Notes Econ Math Syst 652:139–150

    Article  Google Scholar 

  • Guthrie H, Orcutt G, Peabody G, Caldwell S, Sadowski G (1972) Microanalytic simulation of household behavior. Ann Econ Soc Measur 2(1):141–169

    Google Scholar 

  • Harding A (ed) (1996) Microsimulation and public policy. Contributions to Economic Analysis Series. North Holland, Amsterdam

  • Hayek FA (1948) Individualism and economic order. University of Chicago Press, Chicago

    Google Scholar 

  • Jaeger C (2012) Shaking an invisible hand complexity. Economics 1:91–103

    Google Scholar 

  • Hildenbrand W (1994) Market demand. Princeton University Press, Princeton

    Book  Google Scholar 

  • Hoffmann A, Jager W, Eije JV (2007) Social simulation of stock markets: taking it to the next level. J Artif Soc Soc Simul 10(2)

  • Iori G, Porter J (2012) Agent-based modelling for financial markets working papers 12/08, Department of Economics, City University London

  • Kranton R, Minehart D (2001) A theory of buyer-seller networks american. Econ Rev 91:485–508

    Article  Google Scholar 

  • Kranton RE, Minehart DF (2000) Networks versus vertical integration. Rand J Econ 5(3):570–601

  • Kirman A, Moulet S (2009) Impact de l’organisation du marchÈ: comparaison de la nÈgociation de grÈ à grÈ et des enchËres descendantes, dans SystËmes Complexes et Sciences Sociales, Vuibert

  • Kirman A, Vignes A (1990) Price dispersion: theoretical coordination and empirical evidence from the marseilles fish market. In: Arrow AKJ (ed) Issues in contemporary economics. MacMillan, New York

    Google Scholar 

  • Kirman A (2010) Routledge (ed) complex economics: individual and collective rationality graz schumpeter lectures

  • Leijonhufvud A (2006) Agent-based macro. In: Tesfatsion L and Judd K (eds) Handbook of computational economics. Chapter 36, pp 1625–1636

  • Lengnick M, Sebastian K, Wohltmann H-W (2013) Money creation and financial instability: an agent-based credit network approach. Econ Open-Access Open-Assessment E J 7(32):1–44

    Article  Google Scholar 

  • Mandel A and Botta N (2009) A note on Herbert Gintis: emergence of a price system from decentralized bilateral exchange. B E J Theor Econ 9(1):1–18

  • Mandel A, Gintis H (2013) Stochastic stability in the scarf economy. Math Soc Sci doi:10.1016/j.mathsocsci.2013.09.002

  • Mandel A, Landini S, Gallegati M, Gintis H (2013) Price dynamics, financial fragility and aggregate volatility. University Paris, C.E.S discussion paper 1

  • Mantel R (1974) On the characterization of aggregate excess demand. J Econ Theor 7:348–353

    Article  Google Scholar 

  • Marshall A (1890) Principles of economics. Macmillan, London

    Google Scholar 

  • Milgrom (2004) Milgrom P, Press CU (eds) Putting auction theory to work. Cambridge

  • Milgrom, P. Bewley, T. (Ed.) (1986) Advances in economic theory: fifth world congress of the econometric society auction theory Cambridge University Press, London: Mac Millan and Co, pp 11–32

  • Mignot S, Tedeschi G, Vignes A (2012) An agent based model of switching: the case of boulogne s/mer fish market. J Artif Soc Soc Simul 15(2):3

    Google Scholar 

  • Mitra-Kahn BH (2008). Debunking the myths of computable general equilibrium models, SCEPA Working Papers 2008–1, The New School for Social Research

  • Moreno D, Wooders J (2010) Decentralized trade mitigates. Lemons Probl Int Econ Rev 51(2):383–399

    Article  Google Scholar 

  • Nelson R and Winter S (1974) Neoclassical vs evolutionary theory theories of economic growth: critique and prospectus, Econ J 84(336):886–905

  • Nelson R, Winter S (1982) An evolutionary theory of economic change. Harvard University Press, Cambridge

    Google Scholar 

  • Orcutt GH (1957) A new type of socio-economic system. Rev Econ Stat 39(2):116–123

    Article  Google Scholar 

  • Orcutt GH (1990a) From engineering to microsimulation: an autobiographical reflection. J Econ Behav Organ 14(1):5–27

  • Orcutt GH (1990b) The microanalytic approach for modeling national econcomies. J EconBehav Organ 14(1):29–41

    Article  Google Scholar 

  • Orcutt GH, Merz J, Quinke H (eds) (1986) Microanalytic simulation models to support social and financial policy. North Holland, New York

    Google Scholar 

  • Pareto V (1896) Cours d’économie politique. Lausanne F Rouge 1896–97 (2 volumes)

  • Peyton-Young H (1993) The evolution of conventions. Econometrica 61:57–84

    Article  Google Scholar 

  • Pingle M and Tesfatsion L (2003) Evolution of worker-employer networks and behaviors under alternative unemployment benefits: an agent-based computational study, Chapter 12 (pp 256–285) in Anna Nagurney (ed) Innovations in economic and financial networks. Edward Elgar Publishers

  • Progrebna G (2006) Auctions, versus bilateral bargaining: evidence from a natural experiment working paper, available at SSRN

  • Salle I, Zumpe M, Yildizoglu M and Senegas M-A (2012) Modelling social learning in an agent-based new keynesian macroeconomic model, GREThA Discussion paper 2012–20

  • Salle I, Yildizoglu M (2013) Efficient sampling and metamodeling for computational economic models. GREThA w.p

  • Scarf H (1960) Some examples of global instability of competitive equilibrium. Int Econ Rev 1:157–172

    Article  Google Scholar 

  • Scarf HE (1967) On the computation of equilibrium prices. In: Fellner WJ (ed) Ten economic studies in the tradition of irving fischer. Wiley, New York

    Google Scholar 

  • Seppecher P (2012) Flexibility of wages and macroeocnomic instability in an agent-based computational model with endogenous money. Macroecon Dyn 16(S2):284–297

    Article  Google Scholar 

  • Silverberg G, Verspagen B (1994) Collective learning, innovation and growth in a boundedly rational, evolutionary world. J Evol Econ 4:207–226

    Article  Google Scholar 

  • Simon HA (1959) Theories of decision-making in economics and behavioral science. Am Econ Rev 59:253–283

  • Sonnenschein H (1973) Do walras’ identity and continuity characterize the class of community excess demand functions? J Econ Theor 6:345–354

    Article  Google Scholar 

  • Spadaro A (2007) (ed) Microsimulation as a tool for the evaluation of public policies. Fundacion BBVA, Bilbao

  • Schumpeter JA (1934) The theory of economic development: an inquiry into profits, capital, credit, interest and the business cycle. Transl. by Opie R. Harvard University Press, Cambridge

  • Short MB, D’Orsogna MR, Brantingham PJ, Tita G (2010) Measuring and modeling repeat and near-repeat burglary effects. J Quant Criminol 25:325–339

    Article  Google Scholar 

  • Taymaz E (1991) MOSES on PC. IUI Almqvist and Wicksell International, Stockholm

    Google Scholar 

  • Thiriot S, Lewkovicz Z, Caillou P, Kant JD (2011) Referral hiring and labor markets: a computational study, Artificial economics: Agent-based methods in finance, game theory and their application, The Hague. Springer, pp 15–25

  • Thornton WH (1870) On labour: its wrongful claims and rightful dues, its actual present and possible future. London, 2nd ed

  • Van der Leij M, Goyal S (2011) Strong ties in a small world. Rev Netw Econ 10(2):1–22

  • Vignes A, Etienne J-M (2011) Price formation on the marseille fish market: evidence from a network analysis. J Econ Behav Organ 80:50–67

    Article  Google Scholar 

  • Weisbuch G, Kirman A, Herreiner D (2000) Market organization and trading relationships. Econ J 110(463):411–436

Download references

Acknowledgments

The authors gratefully acknowledge the contribution of all the participants to the 17th WEHIA conference who have provided the inspiration and the material for this special issue and helpful comments from the referee. A. Mandel acknowledges the support of Institute for New Economic Thinking grant INO1200022 and from the EU-FP7 projects SIMPOL and IMPRESSION. A. Vignes acknowledges the support of the ANR-CNRS project DyXI. The authors thank the Universities of Paris 1 and Paris 2 for their support. The usual disclaimer applies.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Annick Vignes.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ballot, G., Mandel, A. & Vignes, A. Agent-based modeling and economic theory: where do we stand?. J Econ Interact Coord 10, 199–220 (2015). https://doi.org/10.1007/s11403-014-0132-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11403-014-0132-6

Keywords

JEL Classification

Navigation