IDEAS home Printed from https://ideas.repec.org/p/hhs/lunewp/2008_004.html
   My bibliography  Save this paper

Detection Biases in Bluffing

Author

Listed:

Abstract

Beliefs in signals that reveal lies or truths are widespread. These signals may lead to a truth or lie detection bias if the probability that such a signal is perceived by the receiver is contingent on the truth value of the sender’s message. Such detection biases are analyzed theoretically in a bluffing game. The detection bias shrinks the equilibrium set to a unique non-pooling equilibrium, in which the better a player is at detecting lies the more often the opponent player will lie. With proper deception techniques such biases can in principle be used to extract hidden information.

Suggested Citation

  • Holm, Håkan J., 2008. "Detection Biases in Bluffing," Working Papers 2008:4, Lund University, Department of Economics.
    • Handle: RePEc:hhs:lunewp:2008_004
    as

    Download full text from publisher

    File URL: https://lucris.lub.lu.se/ws/portalfiles/portal/195337813/WP08_4
    File Function: Full text
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Holm, Håkan J. & Kawagoe, Toshiji, 2010. "Face-to-face lying - An experimental study in Sweden and Japan," Journal of Economic Psychology, Elsevier, vol. 31(3), pages 310-321, June.

    More about this item

    Keywords

    Bluffing; Game theory; Truth detection; Lie detection; Detection bias;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

    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:hhs:lunewp:2008_004. 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: Iker Arregui Alegria (email available below). General contact details of provider: https://edirc.repec.org/data/delunse.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.