Multidimensional Poverty and Material Deprivation with Discrete Data

S. Chakravarty, C. D’Ambrosio
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引用次数: 111

Abstract

We propose a characterization of a popular index of multidimensional poverty which, as a special case, generates a measure of material deprivation. This index is the weighted sum of the functioning failures. The important feature of the variables that may be relevant for poverty assessments is that they are discrete in nature. Thus, poverty measures based on continuous variables are not suitable in this setting and the assumption of a discrete domain is mandatory. We apply the measure to European Union member states where the concept of material deprivation was initiated and illustrate how its recommendations differ from those obtained from poverty measures based exclusively on income considerations.
离散数据下的多维贫困和物质剥夺
我们提出了一个流行的多维贫困指数的特征,作为一个特例,它产生了物质剥夺的衡量标准。该指数是功能失效的加权和。可能与贫穷评估有关的变量的重要特点是,它们在性质上是离散的。因此,基于连续变量的贫困度量在这种情况下是不合适的,因此必须假设一个离散域。我们将该措施应用于物质剥夺概念最初产生的欧盟成员国,并说明其建议与仅基于收入考虑的贫困措施所获得的建议有何不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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