We explore the effects of exposure to conflict and violence on civic compliance with the law. Using newly digitized historical records of income declarations and tax audits from post-World War I Italy, we show that losing a relative as a direct result of the war reduces tax compliance. To...

We explore the effects of exposure to conflict and violence on civic compliance with the law. Using newly digitized historical records of income declarations and tax audits from post-World War I Italy, we show that losing a relative as a direct result of the war reduces tax compliance. To...

This paper studies the impact of exposure to war violence on individuals' willingness to comply with the law. We investigate this question by studying individual tax compliance in Italy's aftermath of World War I. Using newly digitized historical administrative records on individual tax...

We investigate the effect of women’s political leadership in local government on homicide and violence against women. Using a regression discontinuity design we compare Brazilian municipalities where a female candidate barely won to those where a female candidate barely lost mayoral elections....

Can machine learning support better governance? In the context of Brazilian municipalities, 2001-2012, we have access to detailed accounts of local budgets and audit data on the associated fiscal corruption. Using the budget variables as predictors, we train a tree-based gradient-boosted...

We provide new results on the misreported level of mortality in the Italian region of Lombardy and in the province of Bergamo using official and original data sources. Since February 2020 Lombardy and in particular the province of Bergamo have been severely hit by the novel COVID-19 infectious...

Can machine learning support better governance? In the context of Brazilian municipalities, 2001-2012, we have access to detailed accounts of local budgets and audit data on the associated fiscal corruption. Using the budget variables as predictors, we train a tree-based gradient-boosted...

Can machine learning support better governance? In the context of Brazilian municipalities, 2001-2012, we have access to detailed accounts of local budgets and audit data on the associated fiscal corruption. Using the budget variables as predictors, we train a tree-based gradient-boosted...