This paper analyzes the eect of the gender of local policymakers on policy outcomes. Analyzing a rich dataset from Brazilian municipalities and using a regression discon- tinuity design, we nd that municipalities ruled by female mayors have better health outcomes, receive more federal...

We study the implementation of Bolsa Familia, a program that conditions cash transfers to poor families on children's school attendance. Using unique administrative data, we analyze how beneficiaries respond to the enforcement of conditionality. Making use of random variation in the day on which...

We analyze how political discretion affects the selection of government workers, using individual-level data on political party membership and matched employer-employee data on the universe of formal workers in Brazil. Exploiting close mayoral races, we find that winning an election leads to an...

This paper uses a quasi-experimental strategy to disclose utterly political reasons behind the allocation of intergovernmental transfers in a federal state. We apply a regression discontinuity design in close elections to identify the effect of political alignment on federal transfers to...

The paper studies the effect of additional government revenues on political corruption and on the quality of politicians, both with theory and data. The theory is based on a version of the career concerns model of political agency with endogenous entry of political candidates. The evidence...

The paper studies the effect of additional government revenues on political corruption and on the quality of politicians, both with theory and data. The theory is based on a version of the career concerns model of political agency with endogenous entry of political candidates. The evidence...

The paper studies the effect of additional government revenues on political corruption and on the quality of politicians, both with theory and data. The theory is based on a version of the career concerns model of political agency with endogenous entry of political candidates. The evidence...