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 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...

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...

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...

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...

I study age discrimination in hiring, exploiting a difference between age-revealed and partially age-blind hiring procedures. Under the first hiring procedure, age is revealed simultaneously with other applicant information and job offer rates are much lower for older than for younger job...

We use a laboratory experiment with randomized resumes and eyetracking to explore the effects of race on employment discrimination over the lifecycle. We show race discrimination against prime-age black job applicants that diminishes into middle age before re-emerging for older applicants....