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Commentary: Practical implications of theoretical results for causal mediation analysis

Author(s)
Imai, Kosuke; Keele, Luke; Tingley, Dustin; Yamamoto, Teppei
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Alternative title
Comment on Pearl: Practical implications of theoretical results for causal mediation analysis
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Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/
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Abstract
Mediation analysis has been extensively applied in psychological and other social science research. A number of methodologists have recently developed a formal theoretical framework for mediation analysis from a modern causal inference perspective. In Imai, Keele, and Tingley (2010), we have offered such an approach to causal mediation analysis that formalizes identification, estimation, and sensitivity analysis in a single framework. This approach has been used by a number of substantive researchers, and in subsequent work we have also further extended it to more complex settings and developed new research designs. In an insightful article, Pearl (2014) proposed an alternative approach that is based on a set of assumptions weaker than ours. In this comment, we demonstrate that the theoretical differences between our identification assumptions and his alternative conditions are likely to be of little practical relevance in the substantive research settings faced by most psychologists and other social scientists. We also show that our proposed estimation algorithms can be easily applied in the situations discussed in Pearl (2014). The methods discussed in this comment and many more are implemented via mediation, an open-source software (Tingley, Yamamoto, Hirose, Keele, & Imai, 2013).
Date issued
2014-12
URI
http://hdl.handle.net/1721.1/99740
Department
Massachusetts Institute of Technology. Department of Political Science
Journal
Psychological Methods
Publisher
American Psychological Association (APA)
Citation
Imai, Kosuke, Luke Keele, Dustin Tingley, and Teppei Yamamoto. “Comment on Pearl: Practical Implications of Theoretical Results for Causal Mediation Analysis.” Psychological Methods 19, no. 4 (2014): 482–487.
Version: Author's final manuscript
ISSN
1939-1463
1082-989X

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