IDEAS home Printed from https://ideas.repec.org/a/taf/emetrv/v45y2026i6p800-825.html

Testing collusion and cooperation in binary choice games

Author

Listed:
  • Erhao Xie

Abstract

This article studies binary choice games with complete information and proposes a test for the null hypothesis of collusion / cooperation, where players coordinate their actions to maximize the weighted sum of all players’ payoffs. Consider an arbitrary game, referred to as the original game. With data on players’ actual choices and under weak regularity conditions, I show that the collusive model of the original game is observationally equivalent to an equilibrium model of a transformed game with an alternative payoff structure. Notably, this equivalent equilibrium model must satisfy two key restrictions: one on each player’s strategic effect and the other on the equilibrium selection mechanism. This observational equivalence transforms the test for collusion / cooperation into a test on structural functions estimated under an equilibrium framework—one that need not be the true model but nonetheless yields informative implications for testing collusive behaviors. In particular, it amounts to a joint test of the strategic effects and the equilibrium selection mechanism. I illustrate the implementation of this test by revisiting the entry game between Wal-Mart and Kmart, as studied by Jia (2008). The estimation results strongly reject the hypothesis that these two chains coordinate their entry decisions to maximize the weighted sum of their profits.

Suggested Citation

  • Erhao Xie, 2026. "Testing collusion and cooperation in binary choice games," Econometric Reviews, Taylor & Francis Journals, vol. 45(6), pages 800-825, July.
  • Handle: RePEc:taf:emetrv:v:45:y:2026:i:6:p:800-825
    DOI: 10.1080/07474938.2026.2616611
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/07474938.2026.2616611
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/07474938.2026.2616611?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

    for a different version of it.

    More about this item

    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:taf:emetrv:v:45:y:2026:i:6:p:800-825. 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: http://www.tandfonline.com/LECR20 .

    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.