Measuring the socio-economic bipolarization phenomenon

被引:0
|
作者
Stefanescu, Stefan [1 ]
机构
[1] Univ Bucharest, Fac Math & Informat, Bucharest, Romania
来源
关键词
Gini coefficient; bipolarization index; Lorenz order; antithetic variables; bounded exponential distributions;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
The present paper emphasizes the differences between the Gini concentration coefficient [13] and a new bipolarization index proposed by [20], [21]. In practice, the Gini index is applied frequently to determine the poverty degree of the persons of a given population P. Although the pauperization and the polarization social phenomena are often very strong related, we shall prove that the bipolarization level of the individuals of P cannot be always accurately estimated by applying the classical Gini measure. Therefore, for evaluating the intensity of a polarization event is not adequate to use the Gini-type coefficients based on the Lorenz order.
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页码:149 / 161
页数:13
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