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首页> 外文会议>54th annual conference of the International Society for the Systems Sciences 2010 : Governance for a resilient planet >STRUCTURAL EQUATION MODEL FOR THE MULTIDIMENSIONAL MEASUREMENT OF THE POVERTY IN MEXICO
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STRUCTURAL EQUATION MODEL FOR THE MULTIDIMENSIONAL MEASUREMENT OF THE POVERTY IN MEXICO

机译：墨西哥贫困的多维测量的结构方程模型

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This paper postulate that the poverty in Mexico can be determined analyzing different hypothetical constructs, just like the official measurements, that carry out several organisms of the Federal Government's, to effect of obtain an unique measurement. It postulate that the measurements of the levels of alimentary poverty, of capacities, of patrimony, the index of social backwardness, that obtains the Social Developmental Secretariat, they can integrate with other socioeconomic measurements such as the Marginalization index, that obtains the National Council of Population. Given the subjectivity of the different hypothetical constructs, as poverty, social backwardness and marginalization, the only form of measuring them is indirectly, by using methods that use variables that they can be measured directly. For the integration of the diverse official measurements proposes a method of multivariate analysis known as a Structural Equation Model. It develops a complete model of structural regression, compound by two sub models: the Measurement and the Structure models; which used / variables observed to define j variables latent hypothetical, both dependent and independent, to determinate an integrated measure of the poverty.
机译：本文假设可以通过分析不同的假设构造来确定墨西哥的贫困状况，就像官方测量一样，这些构造执行联邦政府的几种生物，从而获得独特的测量结果。它假定获得社会发展秘书处的饮食贫困程度，能力，继承权，社会落后指数的度量可以与其他社会经济度量（例如边缘化指数）相结合，例如获得边缘化指数的国家理事会。人口。考虑到不同的假设结构的主观性，例如贫困，社会落后和边缘化，唯一的衡量方法是间接的，通过使用使用可以直接衡量的变量的方法。为了整合各种官方度量，提出了一种称为结构方程模型的多元分析方法。它开发了一个完整的结构回归模型，由两个子模型复合：测量模型和结构模型；它使用/观察到的变量来定义j个潜在的假设变量，包括独立变量和独立变量，以确定对贫困的综合度量。

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