Many commonly used treatment effects estimators rely on the unconfoundedness assumption ("selection on observables") which is fundamentally non-testable. When evaluating the effects of labor market policies, researchers need to observe variables that affect both treatment participation and labor...

Many commonly used treatment effects estimators rely on the unconfoundedness assumption ("selection on observables") which is fundamentally non-testable. When evaluating the effects of labor market policies, researchers need to observe variables that affect both treatment participation and labor...

This paper studies inequalities in labour market outcomes, incomes and economic concerns across workers in Germany during the first year of the COVID-19 crisis using SOEP-CoV data. It shows that, overall, the self-employed and disadvantaged groups of workers were more severely affected by the...

We provide new evidence about the degree of social segregation in England’s secondary schools, employing a cross-national perspective. Analysis is based on data for 27 rich industrialised countries from the 2000 and 2003 rounds of the Programme of International Student Assessment (PISA), using...

Youth empowerment, i.e., the ability of young people to take control over key aspects of their lives, has become a growing concern to achieving sustainable development worldwide. An increasing number of policy interventions is targeting the youth, but to monitor the progress a better...

This paper proposes two related measures of educational inequality: one for educational achievement and another for educational opportunity. The former is the simple variance (or standard deviation) of test scores. Its selection is informed by consideration of two measurement issues that have...