We investigate the effect of job loss and unemployment benefits on criminal behavior, exploiting individual-level data on the universe of workers and criminal cases in Brazil over the 2009-2017 period. We match workers displaced upon plausibly exogenous mass layoffs with...

If individuals become aware of their stereotypes, do they change their behavior? We study this question in the context of teachers' bias in grading immigrants and native children in middle schools. Teachers give lower grades to immigrant students compared to natives who have the same performance...

We estimate the employment effects of a large program of public investment subsidies that ranked applications on a score reflecting both objective criteria and local politicians' preferences. Leveraging the rationing of funds as an ideal RDD, we characterize the heterogeneity of treatment...

We estimate impacts of male job loss, female job loss, and male unemployment benefits on domestic violence in Brazil. We merge employer-employee and social welfare registers with administrative data on domestic violence cases brought to criminal courts, use of public shelters by victims and...

We provide the first estimates of intergenerational income mobility for a developing country, namely Brazil. We measure formal income from tax and employment registries, and we train machine learning models on census and survey data to predict informal income. The data reveal a much higher...