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 study the consequences of mothers' and fathers' job loss for parents, families, and children. Rich Swedish register data allow us to identify plant closures and account for non-random selection of workers to closing plants by using propensity score matching and controlling for...

We evaluate a temporary public sector employment program targeted at individuals with weak labor market attachment in the City of Stockholm. Having access to rich high-quality individual-level administrative data, we apply dynamic inverse probability weighting, proposed by Van den Berg and...

Municipal break-ups are an understudied phenomenon despite the fact that such territorial reforms regularly take place across the globe. This paper estimates how seven voluntary splits of Swedish municipalities affected municipal current costs. To predict what would have happened had the...