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DefinitionDefinition: Literature-sourcedProof: Not applicablePipeline-generatedjudge pass (gpt-6-luna)
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Separable interventionist mediation effects

Definition

Suppose an expanded structural causal model decomposes a treatment into two substantively meaningful components N and O that can in principle be set separately. Write M(n,o) and Y(n,o) for the mediator and outcome under do(N=n,O=o), and Y(n,o,m) for the outcome under the additional intervention do(M=m), using the intervention semantics of Recursive structural causal models on finite DAGs. Here Y(n,o) leaves the mediator equation active. Mixed component values must correspond to meaningful intervention protocols; an arbitrary mathematical relabeling of A is not a component decomposition. For reference component levels n,n′,o,o′, the separable component contrasts are SE⁡N(n,n′;o)=E[Y(n,o)−Y(n′,o)], SE⁡O(o,o′;n)=E[Y(n,o)−Y(n,o′)], 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 M(a′) in a natural effect.

For the simple single-mediator structural system, the relevant dismissible-component restrictions are the structural exclusions M(n,o)=M(n),Y(n,o,m)=Y(n′,o,m)for all n,n′,o,m. The first says that the outcome-only component O has no effect on the mediator. The second says that the mediator-only component N 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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