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 …

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 …

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 corruption-gender nexus, this paper contributes across several dimensions: (a) measurement of corruption … by studying whether female managers and female owners of firms perceived corruption differently; (b) using survey … and female owners perceived corruption to be lower relative to men. Furthermore, older firms perceived corruption to be a …

economy may be trapped in a locally stable high-corruption, high-slavery equilibrium and major changes in government policies …

The nexus between corruption and economic growth has been examined for a long time. Many empirical studies measured … corruption by the reversed Transparency International's Perception of Corruption Index (CPI) and ignored that the CPI was not … 2012-2018 and re-examine the nexus between corruption and economic growth. The cumulative long-run effect of corruption on …

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 …

This paper evaluates whether the level of public corruption influences COVID-19 case fatality rates. Using cross …-section data, including 64 countries and multiple regression techniques, we find that the level of corruption is positively and …