We investigate the impact of the presence of university dropouts on the academic success of first-time students. Our identification strategy relies on quasi-random variation in the proportion of returning dropouts. The estimated average zero effect of dropouts on first-time students’ success...

Exploiting the randomized expansion of preferential college admissions in Chile, we show they increased admission and enrollment of disadvantaged students by 32%. But the intended beneficiaries were nearly three times as many, and of higher average ability, than those induced to be admitted. The...

This paper studies how a student’s ordinal rank in a peer group affects performance and specialisation choices in university. By exploiting data with repeated random assignment of students to teaching sections, we find that a higher rank increases performance and the probability of choosing...

For-profit providers are becoming an increasingly important fixture of US higher education markets. Students who attend for-profit institutions take on more educational debt, have worse labor market outcomes, and are more likely to default than students attending similarly-selective public...

Higher education finance depends on the public’s preferences for charging tuition, which may be partly based on beliefs about the university earnings premium. To test whether public support for tuition depends on earnings information, we devise survey experiments in representative samples of...

This paper provides novel evidence on the labor-market returns to for-profit postsecondary school and community college attendance using a two-step model to avoid recent concerns with single-stage fixed effects methods. Specifically, we link administrative records on for-profit school and...

Some countries, notably those which have long had a weak history of vocational education like the UK and the US, have recently seen a rapid expansion of hybrid schools which provide both general and vocational education. England introduced ‘University Technical Colleges’ (UTCs) in 2010 for...

To successfully reduce student attrition, it is imperative to understand what the underlying determinants of attrition are and which students are at risk of dropping out. We develop an early detection system (EDS) using administrative student data from a state and a private university to predict...

Using neural networks, the present study replicates previous results on the prediction of student dropout obtained with decision trees and logistic regressions. For this purpose, multilayer perceptrons are trained on the same data as in the initial study. It is shown that neural networks lead to...

We investigate the short- and long-term effects of economic conditions at high-school graduation as a source of exogenous variation in the labor-market opportunities of potential college entrants. Exploiting business cycle fluctuations across birth cohorts for 28 developed countries, we find...