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Published in: Social Choice and Welfare 3/2018

20-03-2018 | Original Paper

Income inequality measurement: a fresh look at two old issues

Author: Brice Magdalou

Published in: Social Choice and Welfare | Issue 3/2018

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Abstract

The literature on income inequality measurement is split into (1) the ethical approach, from which the Atkinson–Kolm–Sen and Kolm–Pollak classes of indices are derived, and (2) the axiomatic approach, which mainly leads to the generalised entropies. This paper shows how to rationalise, under utilitarianism, the generalised entropies as ethical indices. In this framework a generalised entropy index is consistent with the principle of transfers if and only if the underlying utility function is increasing. This unconventional interpretation explains the strange behaviour of the generalised entropies for some values of the inequality aversion parameter, as identified by Shorrocks (Econometrica 48:613–625, 1980). In that case, the underlying utility function is convex. Then, it provides a solution to escape the so-called Hansson–Sen paradox (Hansson in Foundational problems in the special sciences. Reidel Publishing Company, Dordrecht, 1977; Sen in Personal income distribution. North-Holland, Amsterdam, pp 81–94, 1978) that affects the standard ethical indices and which corresponds to a counterintuitive increase in inequality as a result of a concave transformation of the utility function. A normalised version of the generalised entropies behaves appropriately after such a transformation.

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Appendix
Available only for authorised users
Footnotes
1
Continuous differentiability in Definitions 1 and 2 is actually not necessary, even if satisfied by all the indices in the literature. It is just a simplification for ease of reading thereafter.
 
2
We thus operate in a simplified framework by considering that the situation of an individual is fully described by their income, and that personal welfare is cardinally measurable and interpersonally comparable (see Sen 1976, for a discussion).
 
3
Again, continuous differentiability is usually not required. The symbol \(|\!|\) is used to indicate that a divergence measure is different from a distance measure, as it needs to neither be symmetric nor satisfy the triangle inequality.
 
4
Actually this property has been introduced by Kolm (1976) and called the principle of diminishing transfers.
 
5
From an empirical perspective, one can argue that it is not meaningful to investigate the impact of a utility transformation on the index as most of the applications assume a fixed utility function (and thus a fixed level of inequality aversion). Nevertheless, some papers adopt a dual approach by considering that each country, for instance, is characterised by its own degree of inequality aversion (see Lambert et al. 2003). In that case, inequality comparisons require taking account of these different views on inequality aversion, which makes empirically relevant the Hansson–Sen paradox.
 
6
This definition immediately extends to the general case of unequal-mean distributions. We illustrate here the normalisation for the relative generalised entropies \(G_r\) (see Appendix A), where admissible incomes are the strictly positive real numbers, recalling that \(G_r(\varvec{x}) {{\mathrm{=}}}G_{\phi _r}(\hat{\varvec{x}})\) with \(\hat{\varvec{x}} {{\mathrm{=}}}\varvec{x}/ \mu (\varvec{x})\) and \(\phi _r\) as defined in (A.3). Consider for instance that the distributions under comparison are \(\varvec{x}=(1,3)\) and \(\varvec{y}=(2,18)\), such that \(\hat{\varvec{x}} = (0.5,1.5)\) and \(\hat{\varvec{y}} = (0.2,1.8)\). The normalisation is here concerned by the lowest observable reduced income, namely 0.2. Hence one can choose the normalised index \(G_{\phi _r} / U'(0.2)\). For the absolute generalised indices, the same reasoning applies to the centred incomes.
 
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Metadata
Title
Income inequality measurement: a fresh look at two old issues
Author
Brice Magdalou
Publication date
20-03-2018
Publisher
Springer Berlin Heidelberg
Published in
Social Choice and Welfare / Issue 3/2018
Print ISSN: 0176-1714
Electronic ISSN: 1432-217X
DOI
https://doi.org/10.1007/s00355-018-1121-9

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