Testing Full Mediation of Treatment Effects and the Identifiability of Causal Mechanisms (opens in new tab)

arXiv:2603.04109v1 Announce Type: cross Abstract: In causal analysis, understanding the causal mechanisms through which an intervention or treatment affects an outcome is often of central interest. We propose a test to evaluate (i) whether the causal effect of a treatment that is randomly assigned conditional on covariates is fully mediated by, or operates exclusively through, observed intermediate outcomes (referred to as mediators or surrogate outcomes), and (ii) whether the various causal...