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A Simple Exposition of Belief-Free Equilibria in Repeated Games

Author

Listed:
  • 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. 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.
    2. 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.
    3. Hitoshi Matsushima, 2004. "Repeated Games with Private Monitoring: Two Players," Econometrica, Econometric Society, vol. 72(3), pages 823-852, May.
    4. 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..
    5. Takahashi, Satoru, 2010. "Community enforcement when players observe partners' past play," Journal of Economic Theory, Elsevier, vol. 145(1), pages 42-62, January.
    6. Kandori, Michihiro, 2002. "Introduction to Repeated Games with Private Monitoring," Journal of Economic Theory, Elsevier, vol. 102(1), pages 1-15, January.
    7. Mailath, George J. & Samuelson, Larry, 2006. "Repeated Games and Reputations: Long-Run Relationships," OUP Catalogue, Oxford University Press, number 9780195300796, Decembrie.
    8. Piccione, Michele, 2002. "The Repeated Prisoner's Dilemma with Imperfect Private Monitoring," Journal of Economic Theory, Elsevier, vol. 102(1), pages 70-83, January.
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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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