A New Logit-Based Gini Coefficient

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초록

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.

키워드

projection of share functionlogit functionmaximum entropy methodinequality measure62E1762P2091B15MAXIMUM-ENTROPY ESTIMATIONINCOME INEQUALITY
제목
A New Logit-Based Gini Coefficient
저자
Ryu, Hang K.Slottje, Daniel J.Kwon, Hyeok Y.
DOI
10.3390/e21050488
발행일
2019-05
유형
Article
저널명
Entropy
21
5