IDEAS home Printed from https://ideas.repec.org/a/aea/aejmic/v15y2023i1p201-38.html
   My bibliography  Save this article

Contest Design with Stochastic Performance

Author

Listed:
  • René Kirkegaard

Abstract

This paper studies optimal contest design in contests with noisy performance. Here, contest design is a team moral hazard problem that endogenizes the assignment rule that maps performance profiles into winning probabilities. The optimal design features endogenous standards for eligibility, and the number of prizes that are awarded may be stochastic. Generally, one group of agents is identified as "first claimants" of prizes, contingent on performance exceeding a threshold of excellence. However, which group wins prizes more often depends on the designer's objective function and the performance technologies. Finally, the approach derives endogenous, microfounded, and fully optimal contest success functions.

Suggested Citation

  • René Kirkegaard, 2023. "Contest Design with Stochastic Performance," American Economic Journal: Microeconomics, American Economic Association, vol. 15(1), pages 201-238, February.
  • Handle: RePEc:aea:aejmic:v:15:y:2023:i:1:p:201-38
    DOI: 10.1257/mic.20200422
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/mic.20200422
    Download Restriction: no

    File URL: https://www.aeaweb.org/doi/10.1257/mic.20200422.appx
    Download Restriction: no

    File URL: https://www.aeaweb.org/doi/10.1257/mic.20200422.ds
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.

    File URL: https://libkey.io/10.1257/mic.20200422?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
    ---><---

    Citations

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


    Cited by:

    1. Enzo Brox & Daniel Goller, 2024. "Tournaments, Contestant Heterogeneity and Performance," Papers 2401.05210, arXiv.org.
    2. Giebe, Thomas & Gürtler, Oliver, 2024. "Player strength and effort in contests," Working Papers in Economics and Statistics 4/2024, Linnaeus University, School of Business and Economics, Department of Economics and Statistics.

    More about this item

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

    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:aea:aejmic:v:15:y:2023:i:1:p:201-38. 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: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.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.