IDEAS home Printed from https://ideas.repec.org/p/hhs/hastef/0671.html

Testing Game Theory in the Field: Swedish LUPI Lottery Games

Author

Listed:
  • Östling, Robert

    (Institute for International Economic Studies, Stockholm University)

  • Wang, Joseph Tao-yi

    (Department of Economics, National Taiwan University)

  • Chou, Eileen

    (Management and Organization, Kellogg School of Management, Northwestern University)

  • Camerer, Colin F.

    (Division for the Humanities and Social Sciences, California Institute of Technology)

Abstract

Game theory is usually difficult to test precisely in the field because predictions typically depend sensitively on features that are not controlled or observed. We conduct one such test using field data from the Swedish lowest unique positive integer (LUPI) game. In the LUPI game, players pick positive integers and whoever chose the lowest unique number wins a fixed prize. Theoretical equilibrium predictions are derived assuming Poisson-distributed uncertainty about the number of players, and tested using both field and laboratory data. The field and lab data show similar patterns. Despite various deviations from equilibrium, there is a surprising degree of convergence toward equilibrium. Some of the deviations from equilibrium can be rationalized by a cognitive hierarchy model.

Suggested Citation

  • Östling, Robert & Wang, Joseph Tao-yi & Chou, Eileen & Camerer, Colin F., 2007. "Testing Game Theory in the Field: Swedish LUPI Lottery Games," SSE/EFI Working Paper Series in Economics and Finance 671, Stockholm School of Economics, revised 15 Dec 2010.
  • Handle: RePEc:hhs:hastef:0671
    as

    Download full text from publisher

    File URL: http://swopec.hhs.se/hastef/papers/hastef0671.pdf
    File Function: Complete Rendering
    Download Restriction: no

    File URL: http://swopec.hhs.se/hastef/papers/hastef0671.appendix.pdf
    File Function: appendix
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

    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:hastef:0671. 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: Helena Lundin (email available below). General contact details of provider: https://edirc.repec.org/data/erhhsse.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.