of college students. Specifically, we leverage a Monte Carlo Markov Chain (MCMC)-based method to jointly model peer …, and how students’ performances are subsequently affected by their own decisions as well as peers’ behaviors. Our findings …

Students face four decision margins: (a) How many years to spend in school, (b) What to study, (c) How much effort to … schools operate and how they might be made more effective. In this new framework students have a dual role. They are both (a … behavior of students, teachers and administrators depends on the incentives facing them and the actions of the other actors in …

. But the linear-in-means model masks considerable heterogeneity in the effects experienced by different types of students …. Using nonlinear models, one prevalent finding is larger peer effects in which high ability students benefit from the … presence of other high ability students. Studies that stratify students by race and ability often find that students are …

We investigate the impact of the presence of university dropouts on the academic success of first-time students. Our … of dropouts on first-time students’ success masks treatment heterogeneity and non-linearities. First, we find negative …

We investigate the impact of the presence of university dropouts on the academic success of first-time students. Our … of dropouts on first- time students' success masks treatment heterogeneity and non-linearities. First, we find negative …

students, exploring the random assignment of students into Chinese middle school classrooms. We find that local students … peers appear in the classroom. Investigations into mechanisms suggest that local students' educational and future …