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Returns to Skill in Professional Golf: A Quantile Regression Approach

Author

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  • Leo H. Kahane

    () (Providence College)

Abstract

There have been a host of empirical papers studying the returns to skill in professional golf (e.g., Alexander & Kern, 2005; Callan & Thomas, 2007; Moy & Liaw, 1998; Rishe, 2001; Shmanske, 1992, 2000, 2008). None of these studies, however, carefully considers the skewed distribution of earnings in professional golf. This paper uses quantile regression to better handle the skewness and outlier values found in PGA earnings data. Using data from the PGA for the years 2004 to 2007 results of quantile regressions show that the returns to skills—such as putting and driving accuracy—have a statistically different impact on earnings at different points on the conditional earnings distribution.

Suggested Citation

  • Leo H. Kahane, 2010. "Returns to Skill in Professional Golf: A Quantile Regression Approach," International Journal of Sport Finance, Fitness Information Technology, vol. 5(3), pages 167-180, August.
  • Handle: RePEc:jsf:intjsf:v:5:y:2010:i:3:p:167-180
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    Cited by:

    1. Stephen Shmanske, 2013. "Gender and skill convergence in professional golf," Chapters,in: Handbook on the Economics of Women in Sports, chapter 4, pages 73-91 Edward Elgar Publishing.

    More about this item

    Keywords

    golf; PGA; earnings; quantile regression;

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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