群平均与基尼偏差

O. I. Pavlov, O. Pavlova
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引用次数: 0

摘要

众所周知,将一个社会划分为不同的群体,然后对每个群体进行平均,会降低基尼系数。得到的洛伦兹函数是分段线性的。这项研究处理了一个自然的问题:当传递到分段线性洛伦兹函数时,基尼系数可以降低多少?得到的结果很能说明问题(因为它们是用多边形洛伦兹曲线的几何参数来表示的,比如它的线段长度和连续线段之间的夹角)。在限制群体份额的情况下,基尼系数最大可能变化的上界估计,或者限制连续群体的属性平均值之间的差异。证明了存在基尼系数任意趋近于1,同时平均社会基尼系数任意趋近于0的Lorenz曲线。
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Group averaging and the Gini deviation
It is known that partitioning a society into groups with subsequent averaging in each group decreases the Gini coefficient. The resulting Lorenz function is piecewise linear. This study deals with a natural question: by how much the Gini coefficient could decrease when passing to a piecewise linear Lorenz function? Obtained results are quite illustrative (since they are expressed in terms of the geometric parameters of the polygon Lorenz curve, such as the lengths of its segments and the angles between successive segments) upper bound estimates for the maximum possible change in the Gini coefficient with a restriction on the group shares, or on the difference between the averaged values of the attribute for consecutive groups. It is shown that there exist Lorenz curves with the Gini coefficient arbitrarily close to one, and at the same time with the Gini coefficient of the averaged society arbitrarily close to zero.
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发文量
34
审稿时长
12 weeks
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