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Identifying direct and indirect effects in a non-counterfactual framework. (English) Zbl 1120.62006
Summary: Identifying direct and indirect effects is a common problem in the social sciences and medical literature and can be described as follows. A treatment is administered and a response is recorded. However, another variable mediates the effect of the treatment on the response, in some way channelling a part of the treatment effect. The question is how to extricate the direct and channelled (indirect) effects from one another when it is not possible to intervene on the mediating variable. The aim of the paper is to tackle this problem by using a model for direct and indirect effects based on a decision theoretic framework for causal inference.

62C99Statistical decision theory
62P10Applications of statistics to biology and medical sciences
62P25Applications of statistics to social sciences
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