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Robust growth-equity decomposition of change in poverty: The case of Iran (2000-2009)

机译:贫困变化的稳健的增长-权益分解:以伊朗为例(2000-2009年)

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This paper examines a robust nonparametric methodology for decomposition of change in poverty into growth and redistribution components. The decomposition is exact, symmetric and free of residual terms. It is equivalent to the Shapley value decomposition in this two-component case. We avoid parametric assumptions about the underlying distributions and Lorenz functions. All of the currently popular poverty measures may be decomposed as suggested in this paper. We identify the issues that arise with parametric approaches to decomposition. An empirical application is given based on recent data on real consumption in rural and urban areas of Iran in 2000,2004 and 2009 (covering the country's third and fourth five-year development plans). We find that both 'pure growth' and 'redistribution' components are present in a striking change in poverty, especially among rural households. It would appear that stochastic dominance rankings of the consumption distributions make poverty analyses and decompositions robust to the choice of a poverty line, or poverty measure.
机译:本文研究了一种强大的非参数方法,可以将贫困的变化分解为增长和再分配的组成部分。分解是精确的,对称的并且没有残差项。在这两种情况下,它等效于Shapley值分解。我们避免有关基础分布和Lorenz函数的参数假设。如本文建议的那样,可以分解当前所有流行的贫困措施。我们确定参数分解方法所引起的问题。根据2000年,2004年和2009年伊朗农村和城市地区实际消费的最新数据(包括该国的第三个和第四个五年发展计划),给出了经验应用。我们发现,在贫困的惊人变化中,尤其是在农村家庭中,存在着“纯增长”和“再分配”两个部分。似乎,消费分布的随机优势等级使贫困分析和分解对于选择贫困线或贫困度量具有鲁棒性。

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