Transcription of A General Approach to Causal Mediation Analysis
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A General Approach to Causal Mediation Analysis
A General Approach to Causal Mediation AnalysisKosuke ImaiPrinceton UniversityLuke KeeleOhio State UniversityDustin TingleyHarvard UniversityTraditionally in the social sciences, Causal Mediation Analysis has been formulated, understood, andimplemented within the framework of linear structural equation models. We argue and demonstrate thatthis is problematic for 3 reasons: the lack of a General definition of Causal Mediation effects independentof a particular statistical model, the inability to specify the key identification assumption, and thedifficulty of extending the framework to nonlinear models. In this article, we propose an alternativeapproach that overcomes these limitations. Our Approach is General because it offers the definition,identification, estimation, and sensitivity Analysis of Causal Mediation effects without reference to anyspecific statistical model. Further, our Approach explicitly links these 4 elements closely together withina single framework.
construction, the LSEM framework cannot offer a general deÞni-tion of causal mediation effects that are applicable beyond speciÞc statistical models. This is because the key identiÞcation assump-tion is stated in the context of a particular model, making it difÞcult to separate the limitations of research design from those of
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