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Gini decompositions and Gini elasticities

On measuring the importance of income sources and population subgroups for income inequality
Authors: Jurkatis, Simon; Strehl, Wolfgang;

Gini decompositions and Gini elasticities

Abstract

This paper points to flaws in Gini decompositions by income sources and population subgroups and to common pitfalls in the interpretation of decomposition results, focusing on methods within the framework of Rao (1969). We argue that within this framework Gini elasticities may provide the only meaningful way to examine the relevance of income sources or population subgroups for total income inequality. Moreover, we show that existing methods are unsuitable to decompose the trend in the Gini coefficient and provide a coherent method to decompose the Gini trend by income sources. We add to the recent trend of multi-decompositions by deriving Gini elasticities from a simultaneous decomposition by income sources and population subgroups.

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Keywords

Income sources, income sources, Gini elasticity, multi-decomposition, Population subgroups, Income inequality, D31, D33, population subgroups, income inequality,Gini decomposition,Gini elasticity,income sources,population subgroups,multi-decomposition, ddc:330, Multi-Decomposition, Gini decomposition, O15, D63, C43, 300 Sozialwissenschaften::330 Wirtschaft, income inequality, jel: jel:D63, jel: jel:C43, jel: jel:D33, jel: jel:D31, jel: jel:O15

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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