In this paper we analyze the impact of hosting the FIFA Soccer World Cup on GDP per capita in a worldwide sample of countries using a transparent statistical methodology for data-driven case studies ⿿ the synthetic control method. Using country level annual-data covering all events occurring...

In this paper we analyze the impact of hosting the FIFA Soccer World Cup on GDP per capita in a worldwide sample of countries using a transparent statistical methodology for data-driven case studies – the synthetic control method. Using country level annual-data covering all events occurring...

This paper examines the effect of hosting the Summer Olympic Games on future country's sport success, computing the total number of Olympic medals in the subsequent Games. In order to control for the endogeneity produced by the hosting decision, we use the Synthetic Control Method (SCM), which...

This paper develops a CGE model to assess the economic impact of possible reductions in water availability on agriculture. To build the model various methodological tools were required. Translog production functions for the agricultural sector and the Water & Sewer sector (WS) were all estimated...

In this paper we present empirical evidence linking mobile network outages to violence against women. Using high-frequency data from Brazil, we show that the disruption caused by the mandatory 9-digit dialing transition for cell phone numbers had unintended consequences, increasing...

This paper provides evidence of the effect of age at school entry on college admission and earnings. It does so by exploiting a number of features in the application process to one of the major flagship universities in Brazil. By comparing applicants with different ages at school entry depending...

We investigate the effect of job loss and unemployment benefits on crime, exploiting unique individual-level data on the universe of workers and criminal cases in Brazil over the 2009-2017 period. We find that the probability of criminal prosecution increases on average by 23% for workers...

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 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...