Returns to Skill in Professional Golf: A Quantile Regression Approach

Leo Kahane ()

International Journal of Sport Finance, 2010, vol. 5, issue 3, 167-180

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.

Keywords: golf; PGA; earnings; quantile regression (search for similar items in EconPapers)
JEL-codes: L83 (search for similar items in EconPapers)
Date: 2010
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International Journal of Sport Finance is currently edited by Arne Feddersen, Babatunde Buraimo, Joachim Prinz and Jane Ruseski

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