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

Understanding corruption is at the heart of treating the dysfunctionality of many countries' public sectors. Yet, most … corruption research suffers from one common problem: There is no "objective" measure of public-sector corruption for a cross …-section of countries. Most studies on the determinants or the effects of corruption rely on indicators of corruption perception …

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 …

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 …

We study how policies limiting the spending capacity of local governments may reduce corruption. We exploit the … both recorded corruption rates and corruption charges per euro spent. This effect emerges only in areas in which the DSP … put a binding cap on municipal capital expenditures. The reduction in corruption is linked to accountability incentives as …

I examine whether elections influence perceived corruption in the public sector. Perceived corruption in the public … sector is measured by the reversed Transparency International’s Perception of Corruption Index (CPI). The dataset includes … perceived corruption in the public sector increased before elections. The effect is especially pronounced before early elections …