We study statistical discrimination based on the school which an individual attended.
Employers face uncertainty regarding an individual's productive value. Knowing which …

We propose a framework to assess how to optimally sort and grade students of
heterogeneous ability. Potential employers face uncertainty regarding an individual's …

The distribution of a single college's incoming freshman cohort by high school of origin
differs from the population distribution of high school seniors (Bernhard, 2013), a fact …

Statistical discrimination theory suggests that discrimination arises when gatekeepers lack
individuallevel information and therefore draw on their knowledge on the group-level …

To study the effects of ability grouping on school competition, we develop a theoretical and
computational model of tracking in public and private schools. We examine tracking's …

I study students' inferences about school quality from performance-based rankings in a
dynamic setting. Schools differ in location and unobserved quality; students differ in location …

This paper derives a statistical discrimination model that includes the self selection that
results when employees optimally choose which jobs to apply for. We show that in such a …

We study the role of information and access in capacity-constrained selection problems with
fairness concerns. We develop a theoretical statistical discrimination framework, where each …

This paper studies a dynamic model of interactions between a firm and job applicants to
understand long-term hiring outcomes. In each round, the firm decides which applicants to …

We study the admissions problem for academically selective K-12 education programs and
magnet schools. Many states and public school districts are either required by law to, or …