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Separable interventionist mediation effects
Definition
Suppose an expanded structural causal model decomposes a treatment into two substantively meaningful components and that can in principle be set separately. Write and for the mediator and outcome under , and for the outcome under the additional intervention , using the intervention semantics of Recursive structural causal models on finite DAGs. Here leaves the mediator equation active. Mixed component values must correspond to meaningful intervention protocols; an arbitrary mathematical relabeling of is not a component decomposition. For reference component levels , the separable component contrasts are whenever the contrasts are integrable Integrable real and complex functions, and their integrals. They refer to feasible component interventions, not to the nested individual mediator value in a natural effect.
For the simple single-mediator structural system, the relevant dismissible-component restrictions are the structural exclusions The first says that the outcome-only component has no effect on the mediator. The second says that the mediator-only component has no direct effect on the outcome when the mediator is fixed. In other causal systems the formal dismissible-component conditions are model-specific. Meaningful component interventions, consistency, positivity, and appropriate exchangeability conditions are required before these contrasts can be identified. No identification theorem for separable effects is asserted here; they define a different target from the natural direct and indirect effects in Controlled and natural mediation effects.
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Sources
- Miguel A. Hernán and James M. Robins, Causal Inference: What If, Chapter 23 §§23.2–23.4 and Technical Point 23.2 (2020; author revision 19 August 2026) (standard reference, not scraped)
- Judea Pearl, Causal inference in statistics: An overview, §5.1.3 (Statistics Surveys 3, 2009) (standard reference, not scraped)