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...

We provide a measure of equality of educational opportunity in 54 countries, estimated as the effect of family background on student performance in two international TIMSS tests. We then show how organizational features of the education system affect equality of educational opportunity. Our...

We examine the impact of family income during childhood on the type of secondary school that German children attend, a good indicator of their lifetime socioeconomic attainment. By contrast with several US child outcome studies, we find that late-childhood income is a more important determinant...

Applying a financial assets approach, we analyze the returns and earnings risk of investments into different types of human capital. Even though the returns from investing in human capital are extensively studied, little is known about the properties of the returns to different types of human...

The aim of this paper was to investigate the relationship between countries’ PISA study results from 2018 and a set of indices related to socio-economic inequality, such as the Gini index, human development index, or gender inequality index, along with purely economic variables, such as GDP...