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Social Learning and Monetary Policy Rules

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  • Jasmina Arifovic
  • James Bullard
  • Olena Kostyshyna

Abstract

We analyze the effects of social learning in a widely-studied monetary policy context. Social learning might be viewed as more descriptive of actual learning behavior in complex market economies. Ideas about how best to forecast the economy's state vector are initially heterogeneous. Agents can copy better forecasting techniques and discard those techniques which are less successful. We seek to understand whether the economy will converge to a rational expectations equilibrium under this more realistic learning dynamic. A key result from the literature in the version of the model we study is that the Taylor Principle governs both the uniqueness and the expectational stability of the rational expectations equilibrium when all agents learn homogeneously using recursive algorithms. We find that the Taylor Principle is not necessary for convergence in a social learning context. We also contribute to the use of genetic algorithm learning in stochastic environments.
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Suggested Citation

  • Jasmina Arifovic & James Bullard & Olena Kostyshyna, 2013. "Social Learning and Monetary Policy Rules," Economic Journal, Royal Economic Society, vol. 123(567), pages 38-76, March.
  • Handle: RePEc:ecj:econjl:v:123:y:2013:i:567:p:38-76
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    References listed on IDEAS

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    Cited by:

    1. repec:eee:jeborg:v:141:y:2017:i:c:p:64-82 is not listed on IDEAS
    2. 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.
    3. 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.
    4. Gaffeo, Edoardo & Canzian, Giulia, 2011. "The psychology of inflation, monetary policy and macroeconomic instability," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(5), pages 660-670.
    5. Sylvain Barde & Sander van der Hoog, 2017. "An empirical validation protocol for large-scale agent-based models," Studies in Economics 1712, School of Economics, University of Kent.
    6. repec:spr:joevec:v:27:y:2017:i:5:d:10.1007_s00191-017-0511-y is not listed on IDEAS
    7. Salle, Isabelle & Seppecher, Pascal, 2016. "Social Learning About Consumption," Macroeconomic Dynamics, Cambridge University Press, vol. 20(07), pages 1795-1825, October.
    8. Anufriev, Mikhail & Assenza, Tiziana & Hommes, Cars & Massaro, Domenico, 2013. "Interest Rate Rules And Macroeconomic Stability Under Heterogeneous Expectations," Macroeconomic Dynamics, Cambridge University Press, vol. 17(08), pages 1574-1604, December.
    9. George W. Evans & Seppo Honkapohja, 2009. "Expectations, Learning and Monetary Policy: An Overview of Recent Research," Central Banking, Analysis, and Economic Policies Book Series,in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.), Monetary Policy under Uncertainty and Learning, edition 1, volume 13, chapter 2, pages 027-076 Central Bank of Chile.
    10. Anna Agliari & Domenico Massaro & Nicolò Pecora & Alessandro Spelta, 2017. "Inflation Targeting, Recursive Inattentiveness, and Heterogeneous Beliefs," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(7), pages 1587-1619, October.
    11. Georges, Christophre, 2008. "Staggered updating in an artificial financial market," Journal of Economic Dynamics and Control, Elsevier, vol. 32(9), pages 2809-2825, September.
    12. Cars Hommes & Tomasz Makarewicz & Domenico Massaro & Tom Smits, 2017. "Genetic algorithm learning in a New Keynesian macroeconomic setup," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1133-1155, November.
    13. Pascal Seppecher & Isabelle Salle & Dany Lang, 2016. "Is the Market Really a Good Teacher? Market Selection, Collective Adaptation and Financial Instability," GREDEG Working Papers 2016-15, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), University of Nice Sophia Antipolis.
    14. Gomes, Orlando, 2009. "Stability under learning: The endogenous growth problem," Economic Modelling, Elsevier, vol. 26(5), pages 807-816, September.
    15. Pecora, Nicolò & Spelta, Alessandro, 2017. "Managing monetary policy in a New Keynesian model with many beliefs types," Economics Letters, Elsevier, vol. 150(C), pages 53-58.
    16. Emanuel Gasteiger, 2013. "Do heterogeneous expectations constitute a challenge for policy interaction?," Working Papers Series 2 13-02, ISCTE-IUL, Business Research Unit (BRU-IUL).
    17. Anufriev, M. & Hommes, C.H. & Makarewicz, T.A., 2015. "Simple Forecasting Heuristics that Make us Smart: Evidence from Different Market Experiments," CeNDEF Working Papers 15-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    18. Kurz, Mordecai & Piccillo, Giulia & Wu, Howei, 2013. "Modeling diverse expectations in an aggregated New Keynesian Model," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1403-1433.
    19. Vicente da Gama Machado, 2012. "Monetary Policy, Asset Prices and Adaptive Learning," Working Papers Series 274, Central Bank of Brazil, Research Department.
    20. Pascal Seppecher & Isabelle Salle & Dany Lang, 2016. "Is the Market Really a Good Teacher? Market Selection, Collective Adaptation and Financial Instability," GREDEG Working Papers 2016-15, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), University of Nice Sophia Antipolis.
    21. Luhan, Wolfgang J. & Scharler, Johann, 2014. "Inflation illusion and the Taylor principle: An experimental study," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 94-110.
    22. 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.
    23. repec:kap:compec:v:50:y:2017:i:2:d:10.1007_s10614-016-9607-y is not listed on IDEAS
    24. Georges, Christophre & Wallace, John C., 2009. "Learning Dynamics And Nonlinear Misspecification In An Artificial Financial Market," Macroeconomic Dynamics, Cambridge University Press, vol. 13(05), pages 625-655, November.

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