A New Logit-Based Gini Coefficient

被引:2
|
作者
Ryu, Hang K. [1 ]
Slottje, Daniel J. [2 ]
Kwon, Hyeok Y. [3 ]
机构
[1] Chung Ang Univ, Dept Econ, Seoul 156756, South Korea
[2] Southern Methodist Univ, Dept Econ, Dallas, TX 75275 USA
[3] Korea Univ, Dept Polit Sci, Seoul 136701, South Korea
基金
新加坡国家研究基金会;
关键词
projection of share function; logit function; maximum entropy method; inequality measure; 62E17; 62P20; 91B15; MAXIMUM-ENTROPY ESTIMATION; INCOME INEQUALITY;
D O I
10.3390/e21050488
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
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.
引用
收藏
页数:20
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