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Identification of payoffs in repeated games

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  • Lee, Byung Soo
  • Stewart, Colin

Abstract

In one-shot games, an analyst who knows the best response correspondence can only make limited inferences about the players' payoffs. In repeated games with full monitoring, this is not true: we show that, under a weak condition, if the game is repeated sufficiently many times and players are sufficiently patient, the best response correspondence completely determines the payoffs (up to positive affine transformations).

Suggested Citation

  • Lee, Byung Soo & Stewart, Colin, 2016. "Identification of payoffs in repeated games," Games and Economic Behavior, Elsevier, vol. 99(C), pages 82-88.
  • Handle: RePEc:eee:gamebe:v:99:y:2016:i:c:p:82-88
    DOI: 10.1016/j.geb.2016.07.004
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    References listed on IDEAS

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    9. Abito, Jose Miguel, 2015. "How much can we identify from repeated games?," MPRA Paper 66378, University Library of Munich, Germany.
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    Cited by:

    1. Abito, Jose Miguel & Chen, Cuicui, 2023. "A partial identification framework for dynamic games," International Journal of Industrial Organization, Elsevier, vol. 87(C).
    2. Jose Miguel Abito & Cuicui Chen, 2021. "How much can we identify from repeated games?," Economics Bulletin, AccessEcon, vol. 41(3), pages 1212-1222.

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    More about this item

    Keywords

    Payoff identification; Best-response equivalence; Repeated games;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games

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