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...

The appealing idea of geographically relocating unemployed job seekers from depressed to prosperous regions and hence reducing unemployment leads to industrialised countries offering financial support to unemployed job seekers when searching for and/or accepting jobs in distant regions. In this...

The appealing idea of geographically relocating unemployed job seekers from depressed to prosperous regions and hence reducing unemployment leads to industrialised countries offering financial support to unemployed job seekers when searching for and/or accepting jobs in distant regions. In this...

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...

The appealing idea of geographically relocating unemployed job seekers from depressed to prosperous regions and hence reducing unemployment leads to industrialised countries offering financial support to unemployed job seekers when searching for and/or accepting jobs in distant regions. In this...

Using a rich and unique combined administrative-survey dataset, this paper explores how sensitive propensity score (PS) matching estimates of Active Labor Market Policies (ALMPs) based on the selection-on-observables assumption are to typically unobserved covariates. Using a sample of German...

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...

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...