IDEAS home Printed from https://ideas.repec.org/p/red/sed004/475.html
   My bibliography  Save this paper

The folk theorem for all games with almost perfect monitoring

Author

Listed:
  • Wojciech Olszewski
  • Johannes Horner

Abstract

"Selection in Dynamic Games" 1. Assortative Matching with costly search, presented by Alp Atakan 2. A Refinement of Sequential Equilibrium with Application to Decentralized Collusion, presented by Peter Eso 3. Noisy evolution in Normal form Games, presented by Christoph Kuzmics 4. The folk theorem for all games with almost perfect monitoring presented by Johannes Horner Abstract: We study repeated games in which monitoring is imperfect and private. We prove the folk theorem for all two-player (finite) games assuming that the monitoring is almost perfect, but not necessarily almost public

Suggested Citation

  • Wojciech Olszewski & Johannes Horner, 2004. "The folk theorem for all games with almost perfect monitoring," 2004 Meeting Papers 475, Society for Economic Dynamics.
  • Handle: RePEc:red:sed004:475
    as

    Download full text from publisher

    File URL: http://www.kellogg.northwestern.edu/faculty/horner/folktheorem.pdf
    File Function: main text
    Download Restriction: no

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Miyagawa, Eiichi & Miyahara, Yasuyuki & Sekiguchi, Tadashi, 2008. "The folk theorem for repeated games with observation costs," Journal of Economic Theory, Elsevier, vol. 139(1), pages 192-221, March.

    More about this item

    Keywords

    imperfect private monitoring; repeated games;

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:red:sed004:475. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christian Zimmermann). General contact details of provider: http://edirc.repec.org/data/sedddea.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.