Motivated by the reality that the benefits of diversity on a college campus will be mitigated if interracial interactions are scarce or superficial, previous work has strived to document the amount of interracial friendship interaction and to examine whether policy can influence this amount. In...

We estimate a dynamic learning model of college dropout, taking advantage of unique expectations data to greatly reduce our reliance on standard assumptions. Our simulations show that forty-five percent of dropout in the first two years of college can be attributed to what students learn about...

Taking advantage of unique longitudinal data, we provide the first characterization of what college students believe at the time of entrance about their final major, relate these beliefs to actual major outcomes, and, provide an understanding of why students hold the initial beliefs about majors...

We develop and estimate a model of student study time on a social network. The model is designed to exploit unique data collected in the Berea Panel Study. Study time data allow us to quantify an intuitive mechanism for academic social interactions: own study time may depend on friend study time...