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Evolutionary Algorithms In Macroeconomic Models

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Author Info

  • Arifovic, Jasmina

Abstract

This paper provides a survey of the applications of evolutionary algorithms in macroeconomic models. Discussion is organized aroundthe issues related to stability of equilibria, equilibriumselection, transitional dynamics, and the long-run evolutionarydynamics different from rational-expectations equilibrium outcomes. The survey also discusses criteria that can be used to evaluatethe performance and usefulness of evolutionary algorithms in the macroeconomiccontext.

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Bibliographic Info

Article provided by Cambridge University Press in its journal Macroeconomic Dynamics.

Volume (Year): 4 (2000)
Issue (Month): 03 (September)
Pages: 373-414

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Handle: RePEc:cup:macdyn:v:4:y:2000:i:03:p:373-414_01

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Cited by:
  1. Robert Somogyi & Janos Vincze, 2011. "Price Rigidity and Strategic Uncertainty An Agent-based Approach," IEHAS Discussion Papers 1135, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.
  2. M.Utku Unver & John Dufffy, 2005. "Internet Auctions with Artificial Adaptive Agents: A Study on Market Design," Working Papers 260, University of Pittsburgh, Department of Economics, revised Jan 2005.
  3. Karolina Safarzyńska & Jeroen Bergh, 2010. "Evolutionary models in economics: a survey of methods and building blocks," Journal of Evolutionary Economics, Springer, vol. 20(3), pages 329-373, June.
  4. Jasmina Arifovic & James B. Bullard & Olena Kostyshyna, 2007. "Social learning and monetary policy rules," Working Papers 2007-007, Federal Reserve Bank of St. Louis.
  5. Serguei Kaniovski, 2005. "Product Differentiation and Competitive Selection," WIFO Working Papers 252, WIFO.
  6. James B. Bullard, 2006. "The learnability criterion and monetary policy," Review, Federal Reserve Bank of St. Louis, issue May, pages 203-217.
  7. Gottfried Haber, 2008. "Monetary and Fiscal Policy Analysis With an Agent-Based Macroeconomic Model," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 228(2+3), pages 276-295, June.
  8. Scott Wheeler & Nigel Bean & Janice Gaffney & Peter Taylor, 2006. "A Markov analysis of social learning and adaptation," Journal of Evolutionary Economics, Springer, vol. 16(3), pages 299-319, August.
  9. Peter Howitt & Ömer Özak, 2009. "Adaptive Consumption Behavior," NBER Working Papers 15427, National Bureau of Economic Research, Inc.
  10. John Ledyard & Jasmina Arifovic, 2003. "Computer Testbeds: The Dynamics of Groves-Ledyard Mechanisms," Computing in Economics and Finance 2003 244, Society for Computational Economics.
  11. Isabelle SALLE (GREThA, CNRS, UMR 5113) & Martin ZUMPE (GREThA, CNRS, UMR 5113) & Murat YILDIZOGLU (GREThA, CNRS, UMR 5113) & Marc-Alexandre SENEGAS (GREThA, CNRS, UMR 5113), 2012. "Modelling Social Learning in an Agent-Based New Keynesian Macroeconomic Model," Cahiers du GREThA 2012-20, Groupe de Recherche en Economie Théorique et Appliquée.
  12. Arifovic, Jasmina & Ledyard, John, 2011. "A behavioral model for mechanism design: Individual evolutionary learning," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 374-395, May.
  13. Salle, Isabelle & Yıldızoğlu, Murat & Sénégas, Marc-Alexandre, 2013. "Inflation targeting in a learning economy: An ABM perspective," Economic Modelling, Elsevier, vol. 34(C), pages 114-128.
  14. Isabelle Salle & Pascal Seppecher, 2013. "Social Learning about Consumption," GREDEG Working Papers 2013-18, Groupe de REcherche en Droit, Économie, Gestion (GREDEG CNRS), University of Nice Sophia Antipolis, revised Sep 2013.
  15. Domenico Delli Gatti & Edoardo Gaffeo & Mauro Gallegati & Antonio Palestrini, 2005. "The Apprentice Wizard: Montetary Policy, Complexity And Learning," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 109-128.

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