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Does measurement invariance hold for the official Mexican multidimensional poverty measure? A state-level analysis 2012

机译:度量不变性是否适用于墨西哥官方的多维贫困度量? 2012年国家级分析

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摘要

One of the main goals in poverty measurement is making comparisons of prevalence and severity across geographical units. This is attained by merely disaggregating the index in question. The underlying assumption is that comparisons across units are tenable, inasmuch as the same indicators are utilised for constructing the index. Nonetheless, in practice, this assumption is very rarely tested. From the statistical perspective, measurement invariance (MI) must hold for comparisons to be valid, and violations thereof indicate that a given poverty index measures different things across different countries, states, counties, etc. Consequently, differentials in severity and prevalence cannot be attributed exclusively to the underlying construct (i.e. poverty) but to factors not considered in the measure. This article tests whether MI holds for two indexes: the Mexican official multidimensional measure (MPM) and an adjusted multidimensional measure (MPM-A) that uses less severe thresholds. The analysis is conducted using a novel method called the ‘alignment method’. It uses these two measures and the method as an illustration of why it is vital to introduce MI tests into poverty measurement. The results suggest that partial strong MI holds for the official measure and MI is violated when the thresholds are adjusted. Partial strong MI guarantees making valid comparisons across the 32 states. Should the official measure requires to be updated with other thresholds, it would be necessary to adjust the threshold or drop the indicator for water deprivation.
机译:贫困衡量的主要目标之一是比较各个地理区域的患病率和严重程度。这可以通过仅分解所讨论的索引来实现。基本假设是,由于使用了相同的指标来构建指数,因此跨单位的比较是可行的。但是,实际上,这种假设很少得到检验。从统计的角度来看,度量不变性(MI)必须成立才能使比较有效,并且违反该度量表示给定的贫困指数衡量了不同国家,州,县等之间不同的事物。因此,不能归因于严重程度和普遍性的差异专门针对基础结构(即贫困),但针对度量中未考虑的因素。本文测试了MI是否适用于两个指标:墨西哥官方多维量度(MPM)和使用较不严格阈值的调整后多维量度(MPM-A)。使用一种称为“比对方法”的新颖方法进行分析。它使用这两种方法和方法来说明将MI测试引入贫困测量中至关重要的原因。结果表明,部分强MI适用于官方措施,并且在调整阈值时违反了MI。局部强MI可以保证在32个州之间进行有效比较。如果官方措施需要更新其他阈值,则有必要调整阈值或降低缺水指标。

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