The strong correlation between parents' economic status and that of their children has been well-documented, but little is known about the extent to which this is a causal phenomenon. This paper attempts to improve our understanding of the causal processes that contribute to intergenerational...

This paper studies high school dropout behavior by estimating the long-run consequences to leaving school early. I measure these consequences using changes in minimum school leaving ages often introduced to prevent dropping out and compare results across the United States, Canada, and the United...

More than 40% of US college students drop out without gaining a degree. This paper investigates whether dropouts are largely due to academic ability or financial constraints. For that purpose, I build a quantitative general-equilibrium overlapping generations model, where individuals face...

Abstract We investigate the consequences of failing a high-stakes exam in Norwegian high schools. Second-year high school students are randomly assigned to either a locally graded oral exam or a centrally graded written exam. Students assigned to written exams consistently receive lower grades...

Forty years ago, 96% of six-year-old children were enrolled in first grade or above. As of 2005, the figure was just 84%. The school attendance rate of six-year-olds has not decreased; rather, they are increasingly likely to be enrolled in kindergarten rather than first grade. This paper documents...

This paper investigates relative earnings of individuals leaving tertiary education without a degree across 18 European countries employing survey data on adult workers. We find that, on average, university dropouts earn 8% more than those never enrolling into tertiary education, but 25% less...

This paper provides estimates of the short-term individual returns to Higher Education (HE) in the United Kingdom, focusing on the effects of attending HE on the labour market outcomes for dropouts. Results show differential labour market outcomes for dropouts vs. individuals who have never...

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...

The problem of student dropout has steadily increased in many Schools in India. The the main purpose of this research is to develop a model for predicting dropout occurrences with the students and determine the factors behind these cases. Students’ academic the exhibition is unsafe for...