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A folk theorem for finitely repeated games with public monitoring

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  • Hörner, Johannes
  • Renault, Jérôme

Abstract

We adapt the methods from Abreu, Pearce and Stacchetti (1990) to finitely repeated games with imperfect public monitoring. Under a combination of (a slight strengthening of) the assumptions of Benoıˆt and Krishna (1985) and those of Fudenberg, Levine and Maskin (1994), a folk theorem follows. Three counterexamples show that our assumptions are tight.

Suggested Citation

  • Hörner, Johannes & Renault, Jérôme, 2023. "A folk theorem for finitely repeated games with public monitoring," TSE Working Papers 23-1473, Toulouse School of Economics (TSE).
    • Handle: RePEc:tse:wpaper:128536
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    References listed on IDEAS

    as
    1. Michihiro Kandori, 1992. "The Use of Information in Repeated Games with Imperfect Monitoring," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 59(3), pages 581-593.
    2. Tristan Tomala & Pauline Contou-Carrère, 2011. "Finitely repeated games with semi-standard," Post-Print hal-00580938, HAL.
    3. Gossner, Olivier, 1995. "The Folk Theorem for Finitely Repeated Games with Mixed Strategies," International Journal of Game Theory, Springer;Game Theory Society, vol. 24(1), pages 95-107.
    4. Mailath, George J. & Samuelson, Larry, 2006. "Repeated Games and Reputations: Long-Run Relationships," OUP Catalogue, Oxford University Press, number 9780195300796.
    5. Smith, Lones, 1995. "Necessary and Sufficient Conditions for the Perfect Finite Horizon Folk Theorem," Econometrica, Econometric Society, vol. 63(2), pages 425-430, March.
    6. Sekiguchi, Tadashi, 2001. "A negative result in finitely repeated games with product monitoring," Economics Letters, Elsevier, vol. 74(1), pages 67-70, December.
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    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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