The Identification of Direct and Indirect Effects in Studies with an Unmeasured Intermediate Variable

The Identification of Direct and Indirect Effects in Studies with an Unmeasured Intermediate Variable

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Article ID: iaor2016656
Volume: 43
Issue: 1
Start Page Number: 228
End Page Number: 245
Publication Date: Mar 2016
Journal: Scandinavian Journal of Statistics
Authors:
Keywords: experiment, statistics: inference
Abstract:

This paper considers the identification problem of direct and indirect effects of treatment on a response, when observed data are available but an important intermediate variable is unmeasured. To solve this problem, we propose identification conditions for direct and indirect effects based on (conditionally independent) proxy variables of the unmeasured intermediate variable. This paper establishes feasible approaches for evaluating direct and indirect effects in studies with a single unmeasured intermediate variable.

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