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Contagion through learning

  • Steiner, Jakub

    ()

    (Economics, University of Edinburgh)

  • Stewart, Colin

    ()

    (Department of Economics, University of Toronto)

We study learning in a large class of complete information normal form games. Players continually face new strategic situations and must form beliefs by extrapolation from similar past situations. We characterize the long-run outcomes of learning in terms of iterated dominance in a related incomplete information game with subjective priors. The use of extrapolations in learning may generate contagion of actions across games even if players learn only from games with payoffs very close to the current ones. Contagion may lead to unique long-run outcomes where multiplicity would occur if players learned through repeatedly playing the same game. The process of contagion through learning is formally related to contagion in global games, although the outcomes generally differ.

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Article provided by Econometric Society in its journal Theoretical Economics.

Volume (Year): 3 (2008)
Issue (Month): 4 (December)
Pages:

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Handle: RePEc:the:publsh:416
Contact details of provider: Web page: http://econtheory.org

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  10. Nachbar, J H, 1990. ""Evolutionary" Selection Dynamics in Games: Convergence and Limit Properties," International Journal of Game Theory, Springer, vol. 19(1), pages 59-89.
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  12. Alan Beggs, 2005. "Learning in Bayesian Games with Binary Actions," Economics Series Working Papers 232, University of Oxford, Department of Economics.
  13. LiCalzi Marco, 1995. "Fictitious Play by Cases," Games and Economic Behavior, Elsevier, vol. 11(1), pages 64-89, October.
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