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Individual Differences in EWA Learning with Partial Payoff Information

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  • TeckH. Ho
  • Xin Wang
  • ColinF. Camerer
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    Abstract

    We extend experience-weighted attraction (EWA) learning to games in which only the set of possible foregone payoffs from unchosen strategies are known, and estimate parameters "separately" for each player to study heterogeneity. We assume players estimate unknown foregone payoffs from a strategy, by substituting the last payoff actually received from that strategy, by clairvoyantly guessing the actual foregone payoff, or by averaging the set of possible foregone payoffs conditional on the actual outcomes. All three assumptions improve predictive accuracy of EWA. Individual parameter estimates suggest that players cluster into two separate subgroups (which differ from traditional reinforcement and belief learning). Copyright 2008 The Author(s). Journal compilation Royal Economic Society 2008.

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    Bibliographic Info

    Article provided by Royal Economic Society in its journal The Economic Journal.

    Volume (Year): 118 (2008)
    Issue (Month): 525 (01)
    Pages: 37-59

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    Handle: RePEc:ecj:econjl:v:118:y:2008:i:525:p:37-59

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    Cited by:
    1. Francesco Feri & Bernd Irlenbusch & Matthias Sutter, 2009. "Efficiency Gains from Team-Based Coordination – Large-Scale Experimental Evidence," Working Paper Series of the Max Planck Institute for Research on Collective Goods 2009_14, Max Planck Institute for Research on Collective Goods.
    2. M. Bigoni & M. Fort, 2013. "Information and Learning in Oligopoly: an Experiment," Working Papers wp860, Dipartimento Scienze Economiche, Universita' di Bologna.
    3. Shachat, Jason & Swarthout, J. Todd, 2012. "Learning about learning in games through experimental control of strategic interdependence," Journal of Economic Dynamics and Control, Elsevier, vol. 36(3), pages 383-402.
    4. Simon Gemkow & Michael Neugart, 2011. "Referral hiring, endogenous social networks, and inequality: an agent-based analysis," Journal of Evolutionary Economics, Springer, vol. 21(4), pages 703-719, October.
    5. Russell, Golman, 2011. "Quantal response equilibria with heterogeneous agents," Journal of Economic Theory, Elsevier, vol. 146(5), pages 2013-2028, September.
    6. Golman, Russell, 2012. "Homogeneity bias in models of discrete choice with bounded rationality," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 1-11.
    7. Kawagoe, Toshiji & Takizawa, Hirokazu, 2012. "Level-k analysis of experimental centipede games," Journal of Economic Behavior & Organization, Elsevier, vol. 82(2), pages 548-566.
    8. repec:wyi:journl:002151 is not listed on IDEAS
    9. Chen, Shu-Heng, 2012. "Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 1-25.

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