Cross sectional employment data is not random. Individuals who survive to a longer level of tenure tend to have a higher level of productivity than those who exit earlier. This result suggests that in cross sectional data high productivity workers are over-sampled at high levels of tenure. In...

Cross 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...

Two recent articles in the Journal of Sports Economics have analyzed compensation discrimination in the National Football League. Keefer (2013) found white linebackers were paid a premium while Burnett and Van Scyoc (2013) find no white premium for either rookie linebackers or rookie offensive...

Using NFL data from 2000 to 2008, we test for compensation discrimination on career earnings in the NFL. We use both the traditional dummy variable technique applied to Ordinary Least Squares regression as well as quantile regression analysis to measures the effect of race on earnings. We focus...

Using a panel study of annual NFL data (2000–2008) we test for exit discrimination on career length in the NFL. We focus on six positional groups: defensive backs, defensive linemen, linebackers, running backs, tight ends and wide receivers. We test for exit discrimination using both...

We use data from the National Basketball Association (NBA) to analyze the impact of minimum salaries on an employee’s career length. The NBA has a salary structure in which the minimum salary a player can receive increases with the player’s years of experience. Salary schedules similar to...