IDEAS home Printed from https://ideas.repec.org/p/cfi/fseres/cf432.html
   My bibliography  Save this paper

Psychological Aspect of Monitoring Accuracy in Repeated Prisoners’ Dilemma

Author

Listed:
  • Yutaka Kayaba

    (University of Tokyo)

  • Hitoshi Matsushima

    (University of Tokyo)

  • Tomohisa Toyama

    (International Christian University)

Abstract

This study theoretically investigates an infinitely repeated prisoners' dilemma in which the monitoring technology is imperfect and private. In contrast to previous works, we shed light on the psychological aspect of monitoring imperfection rather than its informational aspect. We demonstrate a behavioral model in which a player is motivated not only by pure self-interest but also by social preferences such as reciprocity and naïveté. We then focus on the possibility that a generous tit-for-tat strategy, a simple Markovian stochastic strategy, satisfies equilibrium properties. We show that the prediction from the behavioral model is opposed to, but much more compatible with, daily experiences and existing experimental evidence than the prediction from the standard model with pure self-interest.

Suggested Citation

  • Yutaka Kayaba & Hitoshi Matsushima & Tomohisa Toyama, 2018. "Psychological Aspect of Monitoring Accuracy in Repeated Prisoners’ Dilemma," CARF F-Series CARF-F-432, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
  • Handle: RePEc:cfi:fseres:cf432
    as

    Download full text from publisher

    File URL: https://www.carf.e.u-tokyo.ac.jp/admin/wp-content/uploads/2018/04/F432.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Kayaba, Yutaka & Matsushima, Hitoshi & Toyama, Tomohisa, 2020. "Accuracy and retaliation in repeated games with imperfect private monitoring: Experiments," Games and Economic Behavior, Elsevier, vol. 120(C), pages 193-208.

    More about this item

    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:cfi:fseres:cf432. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/catokjp.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.