Human Capital, Sports Performance and Salary Determination of Professional Athletes
16 Pages Posted: 30 Mar 2006
Date Written: March 15, 2006
Abstract
Thanks to the high availability of data, professional sport represents a unique laboratory in order to test labour market theories and predictions. In particular, one of the most important propositions concerns the role that human capital plays in shaping the life-cycle earnings patterns of workers. To the extent that sport can be considered as a type of human capital investment, human capital theory can help to understand, and empirically assess, how the professional sports labour market rewards performance attributes of players. On this purpose, this piece of work reviews the most important economic contributions focused on the wage determination of professional athletes with the aim of outlining both the emerging common features and the main issues. In so doing, a distinction between professional team-sports and professional single-player sports is done, where the former is represented by the most popular sports in North America and Europe, such as baseball, basketball, hockey and soccer, whereas the latter is primarily represented by professional golf in the US.
Keywords: human capital, sports performance, monopsonistic exploitation, salary, two-step equation approach
JEL Classification: J24, J31, J42, J44
Suggested Citation: Suggested Citation
Do you have a job opening that you would like to promote on SSRN?
Recommended Papers
-
Orchestrating Impartiality: The Impact of "Blind" Auditions on Female Musicians
By Claudia Goldin and Cecilia E. Rouse
-
Fifty Years of Mincer Earnings Regressions
By James J. Heckman, Lance Lochner, ...
-
Fifty Years of Mincer Earnings Regressions
By James J. Heckman, Lance Lochner, ...
-
Sex Discrimination in Restaurant Hiring: An Audit Study
By David Neumark, Roy J. Bank, ...
-
Is it Sex or Personality? The Impact of Sex-Stereotypes on Discrimination in Applicant Selection
-
Instructional Manipulation Checks: Detecting Satisficing to Increase Statistical Power
By Daniel M. Oppenheimer, Tom Meyvis, ...