IDEAS home Printed from https://ideas.repec.org/a/spr/joecth/v79y2025i1d10.1007_s00199-024-01571-y.html
   My bibliography  Save this article

The collective wisdom of behavioral game theory

Author

Listed:
  • Shu Huang

    (Carnegie Mellon University)

  • Russell Golman

    (Carnegie Mellon University)

Abstract

We apply an algorithm from the wisdom-of-crowds literature to optimally combine behavioral game theory models to more accurately predict strategic choice in one-shot, simultaneous-move games. We find that the optimal weighted average of seven behavioral game theory models predicts out-of-sample choice behavior significantly better than any of the individual models. The crowd of behavioral game theory models is wiser than any single one of them. Different strategic choice models complement each other by capturing distinct patterns of behavior. The field of behavioral game theory is enriched by having this diversity of models.

Suggested Citation

  • Shu Huang & Russell Golman, 2025. "The collective wisdom of behavioral game theory," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 79(1), pages 341-356, February.
    • Handle: RePEc:spr:joecth:v:79:y:2025:i:1:d:10.1007_s00199-024-01571-y
    DOI: 10.1007/s00199-024-01571-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00199-024-01571-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s00199-024-01571-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Dual accumulator model; Level-k reasoning; Model aggregation; Noisy introspection; Strategic decision making;
    All these keywords.

    JEL classification:

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

    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:spr:joecth:v:79:y:2025:i:1:d:10.1007_s00199-024-01571-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.