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Differences between monetary and multidimensional poverty in the Lao PDR: Implications for targeting of poverty reduction policies and interventions

机译:老挝人民民主共和国的货币贫困与多维贫困之间的差异:针对减贫政策和干预措施的含义

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摘要

This study compares monetary and multidimensional poverty measures for the Lao People’s\udDemocratic Republic. Using household data of 2007/2008, we compare the empirical outcomes of the country’s current official monetary poverty measure with those of a multidimensional poverty\udmeasure. We analyze which population subgroups are identified as poor by both measures and thus\udbelong to the category of the poorest of the poor; and we look at which subgroups are identified as\udpoor by only one of the measures and belong either to the category of the income-poor (identified as poor only by the monetary measure) or to that of the overlooked poor (identified as poor only by the multidimensional poverty measure). Furthermore, we examined drivers of these differences using a multinomial regression model and found that monetary poverty does not capture the multiple deprivations of ethnic minorities, who are only identified as poor when using a multidimensional poverty measure. We conclude that complementing the monetary poverty measure with a multidimensional poverty index would enable more effective targeting of poverty reduction efforts.
机译:这项研究比较了老挝人民民主共和国的货币和多维贫困衡量标准。利用2007/2008年的家庭数据,我们比较了该国当前的官方货币贫困测度与多维贫困\ ud测度的实证结果。我们通过两种方法分析哪些人口子群体被识别为贫困人群,因此,该人群属于最贫困人群中的最贫困人群;然后我们看看哪些子组仅通过一种方法被识别为“贫困”,并且属于收入贫困的类别(仅通过货币计量被识别为贫困)或属于被忽略的贫困者的类别(仅被识别为贫困)通过多维贫困衡量)。此外,我们使用多项式回归模型检查了这些差异的驱动因素,发现货币贫困并不能反映出少数民族的多重剥夺,而在使用多维贫困测度时,少数民族仅被视为贫困。我们得出的结论是,用多维贫困指数补充货币贫困测度将使更有效地确定扶贫目标。

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