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A New Logit-Based Gini Coefficient

Authors
Ryu, Hang K.Slottje, Daniel J.Kwon, Hyeok Y.
Issue Date
5월-2019
Publisher
MDPI
Keywords
projection of share function; logit function; maximum entropy method; inequality measure; 62E17; 62P20; 91B15
Citation
ENTROPY, v.21, no.5
Indexed
SCIE
SCOPUS
Journal Title
ENTROPY
Volume
21
Number
5
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/65953
DOI
10.3390/e21050488
ISSN
1099-4300
Abstract
The Gini coefficient is generally used to measure and summarize inequality over the entire income distribution function (IDF). Unfortunately, it is widely held that the Gini does not detect changes in the tails of the IDF particularly well. This paper introduces a new inequality measure that summarizes inequality well over the middle of the IDF and the tails simultaneously. We adopt an unconventional approach to measure inequality, as will be explained below, that better captures the level of inequality across the entire empirical distribution function, including in the extreme values at the tails.
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