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Assessing global inequality in well-being using generalized entropy measures

机译:使用广义熵措施评估全球不等式

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In this paper we study global inequality in well-being taking as a reference the Human Development Index. One of the main changes applied to this indicator was the substitution of the arithmetic mean for a geometric mean in the construction of the index, thus assuming different substitution grades between dimensions. In order to determine the impact of the aggregation formula in the distribution of the HDI, we propose the use of multidimensional generalized entropy measures, which allow us to study the evolution of well-being inequality based on different aggregation schemes. The results obtained suggest a reduction in global inequality in human development over the period 1980- 2011. However different inequality patterns are observed depending on the substitutability parameter, thus pointing out the crucial role played by the aggregation formula of composite indices of well-being in the evolution of global inequality.
机译:在本文中,我们将全球不等式作为参考人类发展指数研究。应用于该指标的主要变化之一是替代算法在索引的结构中的几何平均值,从而在尺寸之间存在不同的替换等级。为了确定聚集公式的影响在HDI的分布中,我们提出了使用多维广义熵措施,使我们能够根据不同的聚合方案研究福祉不平等的演变。得到的结果表明,1980年至2011年度人类发展中的全球不等式减少了。然而,根据可替代性参数观察不同的不等式模式,从而指出福利综合指数的聚合公式发挥的至关重要作用全球不等式的演变。

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