Abstract:
We investigate the impact of differences in consumers' racial preferences on worker productivity through the example of the home advantage (HA) effect using data on wins in men's tennis from 2001 to 2020 (pre‐COVID‐19). We identify players' racial affiliation as one of five distinct groups by combining clustering and facial recognition methods. Our empirical design allows us to distinguish among HA factors related to the presence of fans, referee bias, travel fatigue, and home‐court familiarity. We provide evidence of social environments where Black players benefit more strongly from fan support than players of other races do, resulting in increased productivity.
