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A complete folk theorem for finitely repeated games

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  • Demeze-Jouatsa, Ghislain-Herman

    (Center for Mathematical Economics, Bielefeld University)

Abstract

I analyze the set of pure strategy subgame perfect Nash equilibria of any finitely repeated game with complete information and perfect monitoring. The main result is a complete characterization of the limit set, as the time horizon increases, of the set of pure strategy subgame perfect Nash equilibrium payoff vectors of the finitely repeated game. The same method can be used to fully characterize the limit set of the set of pure strategy Nash equilibrium payoff vectors of any the finitely repeated game.

Suggested Citation

  • Demeze-Jouatsa, Ghislain-Herman, 2018. "A complete folk theorem for finitely repeated games," Center for Mathematical Economics Working Papers 584, Center for Mathematical Economics, Bielefeld University.
  • Handle: RePEc:bie:wpaper:584
    as

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    File URL: https://pub.uni-bielefeld.de/download/2930382/2930383
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    References listed on IDEAS

    as
    1. Drew Fudenberg & Eric Maskin, 2008. "The Folk Theorem In Repeated Games With Discounting Or With Incomplete Information," World Scientific Book Chapters, in: Drew Fudenberg & David K Levine (ed.), A Long-Run Collaboration On Long-Run Games, chapter 11, pages 209-230, World Scientific Publishing Co. Pte. Ltd..
    2. Abreu, Dilip & Dutta, Prajit K & Smith, Lones, 1994. "The Folk Theorem for Repeated Games: A NEU Condition," Econometrica, Econometric Society, vol. 62(4), pages 939-948, July.
    3. Smith, Lones, 1995. "Necessary and Sufficient Conditions for the Perfect Finite Horizon Folk Theorem," Econometrica, Econometric Society, vol. 63(2), pages 425-430, March.
    4. Wen, Quan, 1994. "The "Folk Theorem" for Repeated Games with Complete Information," Econometrica, Econometric Society, vol. 62(4), pages 949-954, July.
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    More about this item

    Keywords

    Finitely Repeated Games; Pure Strategy; Subgame Perfect Nash Equilibrium; Limit Perfect Folk Theorem; Discount Factor;
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