We approach the design of anti-discriminatory labor market regulation as a delegation problem. A private firm (the agent) is repeatedly faced with the opportunity of hiring one among several applicants to fill its vacancies. The firm is biased against applicants from some demographic group, and...

Using data from the largest online job portal in Nigeria, we document: (a) gender differences in salary offers for jobs, and (b) the response of (a) to recessions. Jobs in industries where the number of job applicants skews female, offer lower starting salaries than jobs in industries where...

Using a vignette-based survey experiment on Amazon's Mechanical Turk, we measure how people's assessments of the fairness of race-based hiring decisions vary with the motivation and circumstances surrounding the discriminatory act and the races of the parties involved. Regardless of their...

We study firms' advertised gender preferences in a population of ads on a Chinese internet job board, and interpret these patterns using a simple employer search model. The model allows us to distinguish firms' underlying gender preferences from firms' propensities to restrict their search to...

Ban-the-box (BTB) laws are a widely used public policy rooted in employment law related to unnecessarily exclusionary hiring practices. BTB laws are intended to improve the employment opportunities of those with criminal backgrounds by giving them a fair chance during the hiring process. Prior...

We create a dataset of 14,000 hand-coded help-wanted advertisements placed by employment agencies in three U.S. newspapers in 1950 and 1960, a time when help-wanted advertisements were divided into male and female sections, and collect information on agency ownership. We find that female-owned...

This article examines the trends in women's economic outcomes in the United States focusing primarily on labor force participation, occupational attainment, and the gender wage gap. The author first highlights considerable progress on all dimensions prior to the 1990s followed by a slowing or...

We develop an empirical Bayes ranking procedure that assigns ordinal grades to noisy measurements, balancing the information content of the assigned grades against the expected frequency of ranking errors. Applying the method to a massive correspondence experiment, we grade the race and gender...

This paper builds a world atlas of child penalties in employment based on micro data from 134 countries. The estimation of child penalties is based on pseudo-event studies of first child birth using cross-sectional data. The pseudo-event studies are validated against true event studies using...

We develop a framework to understand pre-employment credit screening through adverse selection in labor and credit markets. Workers differ in an unobservable characteristic that induces a positive correlation between labor productivity and repayment rates in credit markets. Firms therefore...