We study the prevalence and effects of individuals with past criminal charges among candidates and elected politicians in Brazil. Individuals with past criminal charges are twice as likely to both run for office and be elected compared to other individuals. This pattern persists across political...

The street food market is a major source of food in developing countries, but is often characterized by unsafe food conditions. We investigate whether improvements in food safety can be achieved by providing information to vendors in the form of a training. Among randomly assigned groups of...

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 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...

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 investigate the effect of having a child on parents' criminal behavior using rich administrative data from Brazil. Fathers' criminal activity sharply increases by up to 10% during the pregnancy period, and by up to 30% two years after birth, while mothers experience only a transitory decline...

The economics of crime has emerged as a critical field over the past 30 years, with economists increasingly exploring the causes and consequences of criminal behavior. This chapter surveys key contributions and developments from labor economists, who investigate the (often two-way) intersection...

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 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...

We evaluate a labor market integration program that fast-tracked asylum seekers into the Italian labor market through personalized job mentoring, placement assistance, and on-the-job training. Leveraging randomized assignment across reception centers and individual-level administrative records,...