Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/104608
Authors: 
Dewenter, Ralf
Giessing, Leonie
Year of Publication: 
2014
Series/Report no.: 
SOEPpapers on Multidisciplinary Panel Data Research 705
Abstract: 
This paper analyses the income effect of the participation in elite sports. To quantify the average difference in the monthly net income of former elite athletes and non-athletes we estimate sample average treatment effect scores (SATT) by using covariate nearest-neighbour matching (CVM). While our treatment group consists of formerly funded top-level athletes, the control group of non-athletes is drawn from the SOEP database. Matching takes place by socio-demographic variables as well as measures of personal qualities and attitudes. On average, former athletes receive higher incomes than similar non-athletes. The income premium for former team sports and male athletes is even higher. Comparing the income of former female athletes with male non-athletes, we find that the participation in elite sports closes the gender-wage gap. Our results are robust to variations in the specification and statistically as well economically significant.
Subjects: 
funding of elite sports
nearest-neighbor matching
job success
gender-wage gap
JEL: 
C49
J30
L83
Document Type: 
Working Paper

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.