The extent to which discrimination can explain racial wage gaps is one of the most divisive subjects in the social sciences. Using a newly available dataset, this paper develops a simple empirical test which, under plausible conditions, provides a lower bound on the extent of discrimination in...

We combine personnel records of the United States federal bureaucracy from 1997-2019 with administrative voter registration data to study how ideological alignment between politicians and bureaucrats affects the personnel policies and performance of public organizations. We present four results....

We develop a model of satisficing with evaluation errors that incorporates complexity at the level of individual alternatives. We test the model predictions in a novel data set with information on hundreds of millions of chess moves by experienced players. Consistent with the theory, complex...

Over the past 40 years the fraction of mixed race black-white births has increased nearly nine-fold. There is little empirical evidence on how these children fare relative to their single-race counterparts. This paper describes basic facts about the plight of mixed race individuals during their...

We develop a Roy model of social interactions in which individuals sort into peer groups based on comparative advantage. Two key results emerge: First, when comparative advantage is the guiding principle of peer group organization, the effect of moving a student into an environment with...

This paper presents a conceptual framework for understanding the consequences of the widespread adoption of race-neutral alternatives' to conventional racial affirmative action policies in college admissions. A simple model of applicant competition with endogenous effort is utilized to show...

There is growing concern that it is too difficult or costly to substantially improve the academic skills of children who are behind in school once they reach adolescence. But perhaps what we have tried in the past relies on the wrong interventions, failing to account for challenges like the...