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首页> 外文期刊>Review of Income and Wealth >THE PRO-POORNESS, GROWTH AND INEQUALITY NEXUS: SOME FINDINGS FROM A SIMULATION STUDY
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THE PRO-POORNESS, GROWTH AND INEQUALITY NEXUS: SOME FINDINGS FROM A SIMULATION STUDY

机译：亲贫，增长和不平等关系：来自模拟研究的一些发现

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摘要

An income growth pattern is pro-poor if it reduces a (chosen) measure of poverty by more than if all incomes were growing equiproportionately. Inequality reduction is not sufficient for pro-poorness. In this paper, we explore trie nexus between pro-poorness, growth, and inequality in some detail using simulations involving the displaced lognormal, Singh-Maddala, and Dagum distributions. For empirically relevant parameter estimates, distributional change preserving the functional form of each of these three-parameter distributions is often either pro-poor and inequality reducing, or pro-rich and inequality exacerbating, but it is also possible for pro-rich growth to be inequality reducing. There is some capacity for each of these distributions to show trickle effects (weak pro-richness) along with inequality-reducing growth, but virtually no possibility of pro-poorness for growth which increases overall inequality. Implications are considered.
机译：如果收入增长模式将（选择的）贫困衡量标准比所有收入均等增长的程度更多，那么它就会是有利于穷人的。减少不平等现象不足以消除贫困。在本文中，我们使用涉及位移对数正态分布，辛格-马达拉分布和达古姆分布的模拟，详细探讨了贫困人口，增长人口和不平等之间的关系。对于与经验相关的参数估计，保留这三个参数分布中的每一个的函数形式的分布变化通常要么有利于穷人和减少不平等，要么有利于富人和不平等加剧，但也可能有利于富人的增长不平等减少。这些分布中的每一个都有一定的能力来显示trick滴效应（弱的富裕度）以及减少不平等现象的增长，但实际上没有增长的穷人可能性会加剧总体不平等。考虑了影响。

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