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 …

Corruption is the great disease of government. It undermines the efficiency of the public sector in many countries … around the world. We experimentally study civic engagement (CE) as a constraint on corruption when incentives are stacked … against providing CE. We show that CE is powerful in curbing corruption when citizens can encourage each other to provide CE …

political support. Combining data on the public disclosure of anti-corruption efforts and individual well-being in China, we …

reduce local corruption and stimulate firms' investment in R&D and training to this day. We identify a causal effect by …

We perform a Meta-Regression Analysis (MRA) of the literature on government size and corruption, examining 450 …-sectional data. Moreover, the type of indicator used to measure corruption has a significant impact on the sign of the relationship … significant results, whereas we find a positive relationship between the countries' corruption index and the effect size. …