We use the PISA student-level achievement database to estimate international education production functions. Student characteristics, family backgrounds, home inputs, resources, teachers and institutions are all significantly related to math, science and reading achievement. Our models account...

I take advantage of a sharp discontinuity in the probability of admission to an elite university at the admission score threshold, to estimate causal returns to college education quality. I use a newly constructed dataset, which combines individual administrative records about high school,...

Using an originally constructed dataset that follows 30,000 Italian individuals from high school to the labor market, we analyze whether the gender composition of peers in high school affected their choice of college major, their academic performance and their labor market income. We exploit the...

Students in some countries do far better on international achievement tests than students in other countries. Is this all due to differences in what students bring with them to school - socio-economic background, cultural factors, and the like? Or do school systems make a difference? This essay...

An emerging economic literature over the past decade has made use of international tests of educational achievement to analyze the determinants and impacts of cognitive skills. The cross-country comparative approach provides a number of unique advantages over national studies: It can exploit...

Since the 1980s the United States has faced growing disinterest and high attrition from STEM majors. Over the same period, foreign-born enrollment in U.S. higher education has increased steadily. This paper examines whether foreign-born peers affect the likelihood American college students...