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Mean-spread-preserving transformations

Aaberge, Rolf
Working paper
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URI
http://hdl.handle.net/11250/180443
Date
2003
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  • Discussion Papers [1011]
Abstract
Abstract:

The purpose of this paper is to define various mean-spread-preserving transformations, which can

be considered as generalized versions of the mean-Gini-preserving transformation. The mean-Ginipreserving

transformation, which was introduced independently by Zoli (1997, 2002) and Aaberge

(2000b), is a combination of progressive and regressive transfers that leaves the Gini coefficient

unchanged. It will be demonstrated that the various mean-spread-preserving transformations form a

useful basis for judging the normative significance of two alternative sequences of nested Lorenz

dominance criteria that can be used to rank Lorenz curves in situations where the Lorenz curves

intersect. The two alternative sequences of Lorenz dominance criteria suggest two alternative

strategies for increasing the number of Lorenz curves that can be strictly ordered; one that places

more emphasis on changes that occur in the lower part of the income distribution and the other that

places more emphasis on changes that occur in the upper part of the income distribution.

Furthermore, it is demonstrated that the sequences of dominance criteria characterize two separate

systems of nested subfamilies of inequality measures and thus provide a method for identifying the

least restrictive social preferences required to reach an unambiguous ranking of a given set of

Lorenz curves.

Scaling up the introduced Lorenz dominance relations of this paper by the mean income ì and

replacing the rank-dependent measures of inequality JP with the rank-dependent social welfare

functions WP = ì(1- JP), it can be demonstrated that the present results also apply to the generalized

Lorenz curve and moreover provide convenient characterizations of the corresponding social welfare

orderings. Keywords: The Lorenz curve, the Gini coefficient, rank-dependent measures of inequality,

generalized Gini families of inequality measures, mean-spread-preserving transformations.
Publisher
Statistics Norway, Research Department
Series
Discussion Papers;No. 360

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