We estimate a dynamic learning model of the college dropout decision, taking advantage of unique expectations data to greatly reduce our reliance on assumptions that would otherwise be necessary for identification. We find that forty-five percent of the dropout that occurs in the first two...

At an annual cost of roughly $7 billion nationally, remedial coursework is one of the single largest interventions intended to improve outcomes for underprepared college students. But like a costly medical treatment with non-trivial side effects, the value of remediation overall depends upon...

We show that data on subjective expectations, especially on outcomes from counterfactual choices and choice probabilities, are a powerful tool in recovering ex ante treatment effects as well as preferences for different treatments. In this paper we focus on the choice of occupation, and use...

One of the continuing areas of controversy surrounding higher education is affirmative action. The Supreme Court has agreed to hear Fisher v. Texas, and their ruling may well influence universities' diversity initiatives, especially if they overturn Grutter v. Bollinger and rule that diversity...

The higher education system in the United States is characterized by a large degree of quality heterogeneity, and there is a growing literature suggesting students attending higher quality universities have better educational and labor market outcomes. In this paper, we use NLSY97 data combined...

We implement a regression discontinuity design using the continuous raw Advanced Placement (AP) exam scores, which are mapped into the observed 1-5 integer scores, for over 4.5 million students. Earning higher AP integer scores positively impacts college completion and subsequent exam taking....