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Constructing a summary index using the standardized inverse-covariance weighted average of indicators
The Stata Journal: Promoting communications on statistics and Stata ( IF 3.2 ) Pub Date : 2020-12-22 , DOI: 10.1177/1536867x20976325
Benjamin Schwab 1 , Sarah Janzen 2 , Nicholas P. Magnan 3 , William M. Thompson 4
Affiliation  

Researchers often want to examine the relationship between a variable of interest and multiple related outcomes. To avoid problems of inference that arise from testing multiple hypotheses, one can create a summary index of the outcomes. Summary indices facilitate generalizing findings and can be more powerful than individual tests. In this article, we introduce a command, swindex, that implements the generalized least-squares method of index construction proposed by Anderson (2008, Journal of the American Statistical Association 103: 1481–1495). We describe the command and its options and provide an example based on Blattman, Fiala, and Martinez’s (2014, Quarterly Journal of Economics 129: 697–752) evaluation of a cash transfer program in Uganda.



中文翻译:

使用指标的逆协方差加权平均值构建汇总索引

研究人员通常希望检查兴趣变量与多个相关结果之间的关系。为了避免因测试多个假设而引起的推理问题,可以创建结果的摘要索引。汇总索引有助于概括发现结果,并且比单独的测试功能强大。在这篇文章中,我们介绍了一个命令swindex,实现由Anderson提出的指数构建的广义最小二乘法(2008年,杂志的美国统计协会103:1481年至1495年)。我们描述命令及其选项,并提供一个基于Blattman,Fiala和Martinez的示例(2014年,《经济学季刊》 129:697-752)对乌干达现金转移计划的评估。

更新日期:2020-12-22
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