Gender disparities in STEM fields participation are a major cause of concern for policymakers around the world. In addition to talent misallocation, low female enrollment rates in STEM careers contribute to gender-based inequalities in earnings and wealth, given the higher average level of...

Using over 50 thousand time-use diaries from two cohorts of children, we document significant gender differences in time allocation in the first 16 years in life. Relative to males, females spend more time on personal care, chores and educational activities and less time on physical and media...

We examine how first in family (FiF) graduates (those whose parents do not have university degrees) fare on the labor market. We find that among women, FiF graduates earn 7.4% less on average than graduate women whose parents have a university degree. For men, we do not find a FiF wage penalty....

This paper analyses the wage effects of educational mismatch by workers' origin using a sizeable, detailed matched employer-employee dataset for Belgium. Relying on a fine-grained approach to measuring educational mismatch, the results show that over-educated workers, regardless of their origin,...

This study aims to identify the main determinants of student performance in reading and maths across eight European Union countries (Austria, Croatia, Germany, Hungary, Italy, Portugal, Slovakia, and Slovenia). Based on student-level data from the OECD’s PISA 2018 survey and by means of the...

This chapter reviews and evaluates progress in recent research on the graduate premium in general as well as the differential graduate premiums by discipline, accounting for higher-education choice by individuals under substantial uncertainty. The contribution of this review, relative to...

A large literature on intergenerational mobility focuses on the conditional mean of children's economic outcomes to understand the role of family background, but ignores the information contained in conditional variance. Using exceptionally rich data free of coresidency bias, we provide evidence...

By using PISA 2018 data, we investigate the associations between digital divides and educational inequalities in France, Germany, Italy, Spain and the United Kingdom. We find strong and significant cognitive losses of students lacking the resources needed to learn remotely; everything else...

We examine the long-term relationship between childhood circumstances and cognitive aging. In particular, we differentiate the level of cognitive deficit from the rate of cognitive decline. Applying a linear mixed-effect model to three waves of China Health and Retirement Longitudinal Surveys...

We develop a model of intergenerational educational mobility incorporating gender bias against girls in the family, school, and labor market. Mobility and investment equations from the model are estimated for India using data not truncated by coresidency. The standard linear model misses...