Using data from U.S. Major League Baseball, this article compares parametric and nonparametric Gini coefficients for each team and year. We employ a panel-data model to investigate the time-series and cross-sectional factors affecting the Gini coefficients and the parameters of the preselected distribution. We find that much of within-team income distribution is determined by time-related variables, with the 1994 MLB strike having an especially strong effect. A team's market potential does not seem to affect its salary distribution, but the average age of the players on a team's roster does. Furthermore, inequality first increases with team payroll, then decreases before increasing again.