We introduce a model of two-sided statistical discrimination in which worker and firm beliefs are complementary. Firms … both empirical analysis designed to detect discrimination and policy meant to alleviate it. Affirmative action is much less … effective than in traditional statistical discrimination models. More generally, we demonstrate the futility of one …

Detecting racial discrimination using observational data is challenging because of the presence of unobservables that … may be correlated with race. Using data made public in the SFFA v. Harvard case, we estimate discrimination in a setting …

This Chapter reviews evidence on discrimination in basketball, primarily examining studies on race but with some … discussion of gender as well. I focus on discrimination in pay, hiring, and retention against black NBA players and coaches and … pay disparities by gender among college coaches. There was much evidence for each of these forms of discrimination against …

-based and statistical discrimination in explaining ethnic hiring discrimination. We find evidence that employer concern that co …

We develop new quasi-experimental tools to measure racial discrimination, due to either racial bias or statistical … discrimination, in the context of bail decisions. We show that the omitted variables bias in observational release rate comparisons … due to racial discrimination. We then develop a hierarchical marginal treatment effects model to study the drivers of …

Detecting racial discrimination using observational data is challenging because of the presence of unobservables that … may be correlated with race. Using data made public in the SFFA v. Harvard case, we estimate discrimination in a setting …