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 where this concern is mitigated. Namely, we show that...

We use the Theil index and data from the 2012-2016, American Community Survey 5-Year Sample to document and analyze gender wage inequality for American Indian and Alaska Native (AIAN) women across single, multiracial and ethnic identity groups. Mean differences in hourly wages by gender...

Off-exchange trading today has become defined by its opacity. Indeed, the framing of this symposium on What Happens in the Dark: An Exploration of Dark Pools and High Frequency Trading and its goal of “exam[ing] a portion of the modern market that remains largely outside of the public eye”...

This paper collects a unique data set of classified ads and exploits quasi-random variation in the applicant pool composition to test for hiring discrimination against immigrants in South Africa's informal sector. Consistent with a tournament models in which immigrants are penalized, the...