Recent police corruption cases in several cities, including New York, Chicago, and Philadelphia, highlight the association of police corruption with illegal drug activities. You asked us to study the impact of drug trafficking on the corruption of police in large cities that have a high incidence of drug trafficking and drug abuse. As agreed with your office, in conducting our preliminary work,...

Robust principal component analysis (RPCA) is a powerful method for learning low-rank feature representation of various visual data. However, for certain types as well as significant amount of error corruption, it fails to yield satisfactory results; a drawback that can be alleviated by exploiting domain-dependent prior knowledge or information. In this paper, we propose two models for the RPCA...

Educational corruption is a worldwide phenomenon yet its impact on economic growth is unclear. In this paper we formulate a macroeconomic model to explore the impact educational corruption may have on growth, educational attainment, and the education wage premium. We find that our model can produce a negative relationship between economic growth and educational corruption as well as a positive ...

This paper investigates the determinants of corruption, and highlights its relation to the growth. The corruption index is taken from Transparency International. We used the more recent data set from 1995 to 2005. First part of the study is based on determinants of corruption. The empirical results indicate that real GDP per capita, secondary school enrolment, public spending on education, FDI,...

Several empirical studies have found a negative relationship between corruption and the decentralization of the powers to tax and spend. In this paper we explain this phenomenon using a model of Yardstick Competition. Using data on federal corruption-related convictions in U.S. states, we also provide new evidence that points to the existence of a spatial autoregressive component to explaining ...

This paper presents new evidence on the relationship between corruption and income inequality. Using a panel data methodology, we find that lower corruption is associated with higher income inequality in Latin America. This result is in contrast to other empirical studies but it makes sense in Latin America for a number of reasons. The finding of an inverse relationship between inequality and c...

Corruption is a serious problem in Asia and elsewhere. Harrison and Vinod's (1992) confidence interval for the marginal excess burden (MEB) of taxation is used to estimates the economic harm arising from corruption. One dollar of corruption is estimated to impose a burden of $1.67, which becomes very large when compounded over time. After a brief review of economic theory, this paper uses data ...

This paper presents a data mining project that generated Bayesian models to assess risk of corruption of federal management units. With thousands of extracted features related to corruptibility, the data were processed using techniques like correlation analysis and variance per class. We also compared two different discretization methods: Minimum Description Length Principle (MDLP) and Class-At...

With the rapid burgeoning of national and international networks, the question of system security has become one of growing importance. High speed inter-machine communication and even higher speed computational processors have made the threats of system ‘‘crackers,’’ data theft, data corruption very real. This paper outlines some of the problems of current password security by demonstrating the...