Polarization measurement for ordinal data

被引:22
|
作者
Kobus, Martyna [1 ]
机构
[1] Polish Acad Sci, Inst Econ, PL-00330 Warsaw, Poland
来源
JOURNAL OF ECONOMIC INEQUALITY | 2015年 / 13卷 / 02期
关键词
Polarization; Inequality measurement; Ordinal data; Atkinson's Theorem; Dominance; INEQUALITY DECOMPOSITION; POPULATION SUBGROUPS; HEALTH; HAPPINESS;
D O I
10.1007/s10888-014-9282-y
中图分类号
F [经济];
学科分类号
02 ;
摘要
Atkinson's Theorem (Atkinson J. Econ. Theory 2, 244-263, 1970) is a classic result in inequality measurement. It establishes Lorenz dominance as a useful criterion for comparative judgements of inequality between distributions. If distribution A Lorenz dominates distribution B, then all indices in a broad class of measures must confirm A as less unequal than B. Recent research, however, shows that standard inequality theory cannot be applied to ordinal data (Zheng Res. Econ. Inequal. 16, 177-188, 2008), such as self-reported health status or educational attainment. A new theory in development (Abul Naga and Yalcin J. Health Econ. 27(6), 1614-1625, 2008) measures disparity of ordinal data as polarization. Typically a criterion used to compare distributions is the polarization relation as proposed by Allison and Foster (J. Health Econ. 23(3), 505-524, 2004). We characterize classes of polarization measures equivalent to the AF relation analogously to Atkinson's original approach.
引用
收藏
页码:275 / 297
页数:23
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