Proximal Identification and Estimation in Front-Door Causal Structures with Unobserved Confounding of the Mediator
中介存在未观测混杂的前门因果结构:近端识别与估计
Unobserved confounding is a fundamental obstacle in causal inference problems. In the graphical modeling literature, a general theory has been developed that allows identification in the presence of hidden variables, with some limitations. In particular, Pearl's celebrated front-door criterion allows nonparametric identification in the presence of unobserved common causes of the treatment and the outcome, however it requires the presence of an unconfounded variable that…