IDEAS home Printed from https://ideas.repec.org/a/bla/randje/v56y2025i4p607-624.html

Multivariate Incomplete Information in the Mixture Model of Contests

Author

Listed:
  • René Kirkegaard

Abstract

A general mixture model of contests is introduced, combining stochastic performance and multivariate incomplete information. Performance is determined by a mixture distribution with endogenous weights on a good and bad distribution, respectively. Incomplete information does not increase the complexity of the problem, and actions are unambiguously strategic substitutes when technologies are homogeneous. These properties enable comparative statics with respect to changes in the type distribution. Applications include examining the role of the dependence structure between private valuations on the one hand and private budget constraints, starting advantages, and productivity parameters on the other. Extensions to asymmetric contests are considered.

Suggested Citation

  • René Kirkegaard, 2025. "Multivariate Incomplete Information in the Mixture Model of Contests," RAND Journal of Economics, RAND Corporation, vol. 56(4), pages 607-624, December.
    • Handle: RePEc:bla:randje:v:56:y:2025:i:4:p:607-624
    DOI: 10.1111/1756-2171.70026
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1756-2171.70026
    Download Restriction: no
    File URL: https://libkey.io/10.1111/1756-2171.70026?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
    ---><---

    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:bla:randje:v:56:y:2025:i:4:p:607-624. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/randdus.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.