The shape of success: Estimating contest success functions in sports
AbstractIn this note I estimate and compare Tullock- and Hirshleifer-style contest success functions (CSFs) using data from the 4 major American sports leagues. I find that Tullock CSFs based on relative efforts fit the data better than Hirshleifer CSFs based on absolute effort differences.
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Bibliographic InfoPaper provided by University of Antwerp, Faculty of Applied Economics in its series Working Papers with number 2010022.
Length: 14 pages
Date of creation: Sep 2010
Date of revision:
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Web page: https://www.uantwerp.be/en/faculties/applied-economic-sciences/
More information through EDIRC
Contests; Contest success functions; Sports;
Other versions of this item:
- Thomas Peeters, 2011. "The shape of success: estimating contest success functions in sports," Working Papers, International Association of Sports Economists;North American Association of Sports Economists 1108, International Association of Sports Economists;North American Association of Sports Economists.
- C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
- L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
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