We study how the transparency of welfare systems affects labor market outcomes of unemployed workers in a large-scale field experiment. Our low-cost information intervention uses a personalized online tool that informs benefit recipients about their personal risk of a benefit reduction when not...

We study how job seekers' understanding of complex unemployment benefit rules affects their labor market performance. Combining data from a large-scale scale field experiment, detailed administrative records, and a survey of unemployed job seekers, we document three main results. First, job...

We study how job seekers' understanding of complex unemployment benefit rules affects their labor market performance. Combining data from a large-scale scale field experiment, detailed administrative records, and a survey of unemployed job seekers, we document three main results. First, job...

This PhD dissertation consists of three self-contained chapters. The first chapter studies the role of fertility preferences of young women for their education, family formation and labor market outcomes. The second and third chapter share a common focus on the complexity of public policies,...

We study how job seekers' understanding of complex unemployment benefit rules affects their labor market performance. Combining data from a large-scale scale field experiment, detailed administrative records, and a survey of unemployed job seekers, we document three main results. First, job...

We study how the transparency of welfare systems affects labor market outcomes of unemployed workers in a large-scale field experiment. Our low-cost information intervention uses a personalized online tool that informs benefit recipients about their personal risk of a benefit reduction when not...

Subsidizing the geographical mobility of unemployed workers may improve welfare by relaxing their financial constraints and allowing them to find jobs in more prosperous regions. We exploit regional variation in the promotion of mobility programs along administrative borders of German employment...

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...

A large and highly used number of 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...