Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/53357
Authors: 
Dincer, Oguzhan C.
Gunalp, Burak
Year of Publication: 
2008
Series/Report no.: 
Nota di lavoro // Fondazione Eni Enrico Mattei: Global challlenges 54.2008
Abstract: 
In this study we analyze the effects of corruption on income inequality and poverty. Our analysis advances the existing literature in four ways. First, instead of using corruption indices assembled by various investment risk services, we use an objective measure of corruption: the number of public officials convicted in a state for crimes related to corruption. Second, we use all commonly used inequality and poverty measures including various Atkinson indexes, Gini index, standard deviation of the logarithms, relative mean deviation, coefficient of variation, and the poverty rate defined by the U.S. Census Bureau. Third, we minimize the problems which are likely to arise due to data incomparability by examining the differences in income inequality, and poverty across U.S. states. Finally, we exploit both time series and cross sectional variation in the data. We find robust evidence that an increase in corruption increases income inequality and poverty.
Subjects: 
Corruption
Income Inequality
Poverty
JEL: 
D31
D73
I32
Document Type: 
Working Paper

Files in This Item:
File
Size
338.88 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.