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Constructing a summary index using the standardized inverse-covariance weighted average of indicators

Domain:

socioeconomic

Record type:

paper
Creator:
SchJanMagTho
Publisher:
Unknown
Host:avatar
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.

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doi.orgageconsearch.umn.edu

Tags

Research and Development/Tech Change/Emerging Technologiesst0622swindexindex constructionGLS

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