Race and Survival Bias in NBA Data
AbstractCross sectional employment data is not random. Workers who survive to a longer level of tenure tend to have a higher level of productivity than those who exit earlier. Wage equations that use cross sectional data could be biased from the over sampling of high productive workers at long levels of tenure. The survival bias that arises in cross sectional data could possibly bias the coefficients in wage equations. This could lead to false positive conclusions concerning the presence of pay discrimination. Using 1989-2008 NBA data we explore the extent of survival bias in wage regressions in a setting in which worker productivity is extremely well documented through a variety of statistical measures. We then examined whether the survival bias affects the conclusions concerning racial pay discrimination. Key Words: NBA, survival bias, pay discrimination
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Bibliographic InfoPaper provided by Department of Economics, Appalachian State University in its series Working Papers with number 10-04.
Date of creation: 2010
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Web page: http://www.business.appstate.edu/departments/economics/
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Find related papers by JEL classification:
- J4 - Labor and Demographic Economics - - Particular Labor Markets
- J7 - Labor and Demographic Economics - - Labor Discrimination
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-04-04 (All new papers)
- NEP-LAB-2010-04-04 (Labour Economics)
- NEP-SPO-2010-04-04 (Sports & Economics)
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