IDEAS home Printed from https://ideas.repec.org/p/spe/wpaper/1108.html
   My bibliography  Save this paper

The shape of success: estimating contest success functions in sports

Author

Listed:
  • Thomas Peeters

    (University of Antwerp)

Abstract

In this note I estimate and compare Tullock- and Hirshleifer-style contest success functions (CSFs) using data from the 4 major American sports leagues. I ?nd that Tullock CSFs based on relative efforts fit the data better than Hirshleifer CSFs based on absolute effort differences.

Suggested Citation

  • Thomas Peeters, 2011. "The shape of success: estimating contest success functions in sports," Working Papers 1108, International Association of Sports Economists;North American Association of Sports Economists.
    • Handle: RePEc:spe:wpaper:1108
    as

    Download full text from publisher

    File URL: http://college.holycross.edu/RePEc/spe/Peeters_ContestSuccessFunctions.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Jason A. Winfree, 2021. "If You Don'T Like The Outcome, Change The Contest," Economic Inquiry, Western Economic Association International, vol. 59(1), pages 329-343, January.
    2. Mildenberger, Carl David & Pietri, Antoine, 2018. "How does size matter for military success? Evidence from virtual worlds," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 137-155.
    3. Anil Yildizparlak, 2018. "An Application of Contest Success Functions for Draws on European Soccer," Journal of Sports Economics, , vol. 19(8), pages 1191-1212, December.

    More about this item

    Keywords

    contests; contest success functions; sports;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

    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:spe:wpaper:1108. 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: Victor Matheson (email available below). General contact details of provider: https://edirc.repec.org/data/iaseeea.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.