enforcement against corruption and organized crime in local governments. Specifically, I take advantage of an Italian law that …

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 classifier to predict the presence of corruption in held-out test data. The … trained model, when applied to new data, provides a prediction-based measure of corruption that can be used for new empirical …

social capital; then, social capital determines the level of corruption; finally, corruption affects economic performance. We … test this hypothesis on a dataset of Italian provinces, and address the possible endogeneity of corruption by applying an … IV model. We use three sets of historical instruments for corruption: 1) foreign dominations in 16th-17th century, 2 …

Numerous countries are introducing citizen feedback schemes to tame corruption. We study how best to incorporate …

corruption. On the one hand, if we assume that the goal of criminals involved in corruption is to minimize the probability of … being detected, then corruption represents a demand for money laundering (trigger effect), while money laundering can serve … as an effective way to clean the revenue from corruption for re-investment (multiplier effect). On the other hand …

Adding to the literature on factors driving corruption and bribery, this paper examines the effect of contestability in …

with the level of corruption in both partner countries. This finding supports the hypothesis that trade gaps partly …