Causal mediation analysis
Raymond Hicks
Niehaus Center for Globalization and Governance
Princeton University
Princeton, NJ
[email protected]
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Dustin Tingley
Department of Government
Harvard University
Cambridge, MA
[email protected]
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Abstract. Estimating the mechanisms that connect explanatory variables with
the explained variable, also known as “mediation analysis,” is central to a variety
of social-science fields, especially psychology, and increasingly to fields like epidemiology.
Recent work on the statistical methodology behind mediation analysis
points to limitations in earlier methods. We implement in Stata computational
approaches based on recent developments in the statistical methodology of mediation
analysis. In particular, we provide functions for the correct calculation
of causal mediation effects using several different types of parametric models, as
well as the calculation of sensitivity analyses for violations to the key identifying
assumption required for interpreting mediation results causally.
View all articles by these authors:
Raymond Hicks, Dustin Tingley
View all articles with these keywords:
medeff, medsens, mediation, causal mechanism, direct effects, sensitivity analysis
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