We match cell phone data to administrative school records and combine it with information on school learning modes to study effective in-person learning (EIPL) in the U.S. during the pandemic. We find large differences in EIPL for the 2020-21 school year. Public schools averaged less EIPL than...

We evaluate a temporary public sector employment program targeted at individuals with weak labor market attachment, applying dynamic inverse probability weighting to account for dynamic selection. We show that the program is successful in increasing employment and reducing social assistance....

We propose a twin family model linking twins with their spouses and children to quantify the relative importance of genetic and environmental factors in explaining the variance of socio-economic outcomes. Using data from the Danish Twins Registry and population registers, we test and relax the...

Many university students depend on employment during their studies. The closing of universities and the loss of many typical student jobs during the COVID-19 pandemic particularly affected their situation. Based on survey data from a major German university, we analyze changes in students'...

We study the impact of COVID-19 school closures on differences in online learning usage by regional academic performance. Using data from Google Trends in Italy, we find that during the first lockdown, regions with a previously lower academic performance increased their searches for e-learning...

Italy was the first Western country hit by Covid-19 in February 2020, responding with a tight lockdown and full school closure until the end of the school year. This paper estimates the effect of the pandemic and school closure on the math skills of primary school pupils in Italy. We compare the...

This paper estimates the effect of a full year of the COVID-19 pandemic on school performance, focusing on students at the end of upper secondary school who are about to enter the labour market or start university without having had the opportunity to recover. Using longitudinal data from...

Covid-19 and the measures taken to contain it have led to unprecedented constraints on work and leisure activities, across the world. This paper uses nationally representative surveys to document how people of different ages and incomes have been affected across six countries (China, South...

Educational attainment (EA) is influenced by characteristics other than cognitive ability, but little is known about the genetic architecture of these "non-cognitive" contributions to EA. Here, we use Genomic Structural Equation Modelling and prior genome-wide association studies (GWASs) of EA...