Subgroup and Shapley Value Decompositions of Multidimensional Inequality – An Application to Southeast European Countries
AbstractInequality is a multidimensional phenomenon though it is often discussed along a single dimension like income. This is also the case for the various decomposition approaches of inequality indices. In this paper we study one- and multidimensional indices on inequality on data for three large Southeast European countries, Bulgaria, Romania and Serbia. We include four dimensions in our measure of multidimensional inequality income, health, education and housing. We apply various decomposition methods to these one- and multidimensional indices. In doing so, we apply standard decomposition techniques of the mean logarithmic deviation index (I0) and decompositions based on regression analysis in conjunction with the Shapley value approach.
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Bibliographic InfoPaper provided by The Vienna Institute for International Economic Studies, wiiw in its series wiiw Working Papers with number 74.
Length: 37 pages including 19 Tables and 1 Figure
Date of creation: Mar 2011
Date of revision:
Publication status: Published as wiiw Working Paper
Find related papers by JEL classification:
- C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
- D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-06-18 (All new papers)
- NEP-EUR-2011-06-18 (Microeconomic European Issues)
- NEP-TRA-2011-06-18 (Transition Economics)
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