, ethnicity, and gender in the United States. However, the data necessary to detect possible discrimination and to act to counter … pictures to identify race, ethnicity, and gender. We show that one can use LinkedIn data to obtain reasonably reliable measures … of workforce demographic composition by race, ethnicity, and gender, based on validation exercises comparing estimates …

We study whether student-advisor gender and race composition matters for publication productivity of Ph.D. students in … introduction of doctoral programs in this country. We investigate the joint effects of gender and race for the whole sample and … female students working with male advisors when looking at the joint effects of gender and race for the white-white and black …

state and federal minimum wage policies on gender, race, and ethnic inequality throughout the wage distribution, focusing on … gender, racial, and ethnic inequality in the present day …

Actual and perceived gender norms are key to understanding gender inequality in society. In this paper, using newly … collected nationally representative datasets from 60 countries that cover over 80% of the world population, we study gender … norms on two distinct policy issues: 1) basic rights, allowing women to work outside of the home, and 2) affirmative action …

is to impute the missing race or ethnicity labels using proxies, then use those imputations to estimate the disparity …

The U.S. limits work visas for low-skill jobs outside of agriculture, with a binding quota that firms access via a …

Using linked employer-employee data from Brazil, we document a large gender pay gap due to women working at lower … suggests that amenities are important for both men and women, that compensating differentials explain half of the gender pay … gap, and that there are significant output and welfare gains from eliminating gender differences. However, equal …