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...

The pandemic catalyzed an enduring shift to remote work. To measure and characterize this shift, we examine more than 250 million job vacancy postings across five English-speaking countries. Our measurements rely on a state-of-the-art language-processing framework that we fit, test, and refine...

We extend promotion signaling theory to generate new testable implications concerning racial differences in promotions. In our model, promotions signal worker ability. When tasks differ substantially across job levels, the opportunity cost of not promoting qualified nonwhites/non-Asians is...

We study the problem of an organization that has a large number of potential tasks and has to choose which tasks to handle and which pair of experts assign to each of them. We propose a mechanism that generates a Pareto-efficient assignment in the weak core and is group strategy-proof. The...

We investigate gender performance differences in reaction to task-rewards (weights) variation based on the applicant's major choice in the admission exam from a selective Brazilian university. Our data allows us to control for applicants' major-choice self-selection issues flexibly and to follow...

When workers are displaced from their jobs in mass layoffs or firm closures, they experience lasting adverse labor market consequences. We study how these consequences vary with the amount of skill mismatch that workers experience when returning to the labor market. Using novel measures of skill...

Purpose: The current research aimed to evaluate IT personnel proficiency levels at various management levels. This study aimed to learn how competency mapping is used to analyse the blend of skills among various people to create the most cohesive team and deliver higher-quality work....