Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/204170
Authors: 
Leitner, Sebastian
Stehrer, Robert
Year of Publication: 
2014
Series/Report no.: 
wiiw Research Report 398
Abstract: 
Inequality is a multidimensional phenomenon though it is often discussed along a single dimension such as income. This is also the case for the various decomposition approaches of inequality indices by recipients or income sources. In this paper we study one- and multidimensional indices on inequality on data for CEE EU Member States in comparison to other EU countries including four dimensions in our measure of multidimensional inequality income, health, education, and housing, and apply various decomposition methods to these one- and multidimensional indices and also to a poverty index. In doing so, we apply standard decomposition techniques to the Mean logarithmic deviation index (I₀) and decompositions based on regression analysis in conjunction with the Shapley value approach to Gini indices.
Subjects: 
inequality decomposition
multidimensional inequality
poverty
JEL: 
A13
D31
I32
Document Type: 
Research Report

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