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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
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    File URL: http://college.holycross.edu/RePEc/spe/Peeters_ContestSuccessFunctions.pdf
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    Citations

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    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

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