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A SHAPLEY DECOMPOSITION OF MULTIDIMENSIONAL CHRONIC POVERTY IN ARGENTINA

机译:阿根廷多维慢性贫困的Shapley分解

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This paper proposes a Shapley decomposition to analyse the evolution of chronic poverty in a multivariate setting using a chronic poverty measure proposed by Alkire and colleagues. The decomposition makes possible to assess a vast array of information to find the drivers of change in chronic poverty, and could be a valuable tool in the way public policy programmes focus resources. We present an empirical application of the changes in chronic poverty in Argentina during the period 2004-12 using the Permanent Household Survey. We found that households with older adults show great persistence of multidimensional chronic poverty in time while the employment indicators is found to be an important driver of the intensity of chronic poverty.
机译:本文提出了Shapley分解方法,以使用Alkire及其同事提出的长期贫困测度来分析多变量环境中的长期贫困演变。分解可以评估大量信息,以找到导致长期贫困变化的驱动力,并且可以成为公共政策计划集中资源的宝贵工具。我们使用永久家庭调查,对阿根廷2004-12年期间长期贫困的变化进行了实证研究。我们发现,随着时间的推移,有老年人的家庭表现出巨大的多维长期贫困持续性,而就业指标被发现是导致长期贫困加剧的重要驱动力。

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