Testing identification in mediation and dynamic treatment models (opens in new tab)

arXiv:2406.13826v2 Announce Type: replace-cross Abstract: We propose a test for the identification of causal effects in mediation and dynamic treatment models that is based on two sets of observed variables, namely covariates to be controlled for and suspected instruments, building on the test by Huber and Kueck (2022) for single treatment models. We consider models with a sequential assignment of a treatment and a mediator to assess the direct treatment effect (net of the mediator), the indi...