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 …

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 …

A significant challenge to empirically testing theories of discrimination has been the difficulty of identifying taste …-based discrimination and of distinguishing it clearly from statistical discrimination. This paper addresses this problem through a two …-part empirical test of taste-based discrimination. First, it constructs measures of revealed preferences, which establish that World …