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Issues in the construction of wealth indices for the measurement of socio-economic position in low-income countries

机译:低收入国家用于衡量社会经济地位的财富指数的建设中的问题

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摘要

BackgroundEpidemiological studies often require measures of socio-economic position (SEP). The application of principal components analysis (PCA) to data on asset-ownership is one popular approach to household SEP measurement. Proponents suggest that the approach provides a rational method for weighting asset data in a single indicator, captures the most important aspect of SEP for health studies, and is based on data that are readily available and/or simple to collect. However, the use of PCA on asset data may not be the best approach to SEP measurement. There remains concern that this approach can obscure the meaning of the final index and is statistically inappropriate for use with discrete data. In addition, the choice of assets to include and the level of agreement between wealth indices and more conventional measures of SEP such as consumption expenditure remain unclear. We discuss these issues, illustrating our examples with data from the Malawi Integrated Household Survey 2004–5.
机译:背景流行病学研究通常需要衡量社会经济地位(SEP)。将主成分分析(PCA)应用于资产所有权数据是家庭SEP度量的一种流行方法。支持者认为,该方法为在单个指标中对资产数据加权提供了一种合理的方法,捕获了SEP在健康研究中最重要的方面,并且基于易于获得和/或易于收集的数据。但是,在资产数据上使用PCA可能不是SEP度量的最佳方法。仍然令人担忧的是,这种方法可能会使最终索引的含义模糊不清,并且在统计上不适用于离散数据。此外,尚不清楚包括哪些资产,以及财富指数与标准必要经济政策的更常规衡量标准(例如消费支出)之间的协议水平。我们讨论了这些问题,并使用来自2004-5年度马拉维综合住户调查的数据说明了我们的示例。

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