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A Simple Exposition of Belief-Free Equilibria in Repeated Games

Author

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  • Wojciech Olszewski

    (Northwestern University)

Abstract

Recently, there has been made a substantial progress in the analysis of repeated games with private monitoring. This progress began with introducing a new class of sequential equilibrium strategies, called belief-free equilibria, that can be analyzed using recursive techniques. The purpose of this paper is to explain the general method of constructing belief-free equilibria, and the limit (or bound) on the set of payoff vectors that can be achieved in these strategies in a way that should be easily accessible, even for those who do not pretend to be experts in repeated games.

Suggested Citation

  • Wojciech Olszewski, 2007. "A Simple Exposition of Belief-Free Equilibria in Repeated Games," Economics Bulletin, AccessEcon, vol. 3(58), pages 1-16.
    • Handle: RePEc:ebl:ecbull:eb-07c70038
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    File URL: http://www.accessecon.com/pubs/EB/2007/Volume3/EB-07C70038A.pdf
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    References listed on IDEAS

    as
    1. Kandori, Michihiro, 2002. "Introduction to Repeated Games with Private Monitoring," Journal of Economic Theory, Elsevier, vol. 102(1), pages 1-15, January.
    2. Hitoshi Matsushima, 2004. "Repeated Games with Private Monitoring: Two Players," Econometrica, Econometric Society, vol. 72(3), pages 823-852, May.
    3. Drew Fudenberg & David Levine & Eric Maskin, 2008. "The Folk Theorem With Imperfect Public Information," World Scientific Book Chapters, in: Drew Fudenberg & David K Levine (ed.), A Long-Run Collaboration On Long-Run Games, chapter 12, pages 231-273, World Scientific Publishing Co. Pte. Ltd..
    4. Johannes Hörner & Wojciech Olszewski, 2006. "The Folk Theorem for Games with Private Almost-Perfect Monitoring," Econometrica, Econometric Society, vol. 74(6), pages 1499-1544, November.
    5. Michihiro Kandori & Ichiro Obara, 2006. "Efficiency in Repeated Games Revisited: The Role of Private Strategies," Econometrica, Econometric Society, vol. 74(2), pages 499-519, March.
    6. Takahashi, Satoru, 2010. "Community enforcement when players observe partners' past play," Journal of Economic Theory, Elsevier, vol. 145(1), pages 42-62, January.
    7. Piccione, Michele, 2002. "The Repeated Prisoner's Dilemma with Imperfect Private Monitoring," Journal of Economic Theory, Elsevier, vol. 102(1), pages 70-83, January.
    8. Mailath, George J. & Samuelson, Larry, 2006. "Repeated Games and Reputations: Long-Run Relationships," OUP Catalogue, Oxford University Press, number 9780195300796.
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    Cited by:

    1. Yuichi Yamamoto, 2012. "Individual Learning and Cooperation in Noisy Repeated Games," PIER Working Paper Archive 12-044, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    2. Yuichi Yamamoto, 2013. "Individual Learning and Cooperation in Noisy Repeated Games," PIER Working Paper Archive 13-038, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    3. Araujo, Luis & Camargo, Braz, 2015. "Limited monitoring and the essentiality of money," Journal of Mathematical Economics, Elsevier, vol. 58(C), pages 32-37.

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    JEL classification:

    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory

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