Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1147587 | Journal of Statistical Planning and Inference | 2012 | 9 Pages |
Suppose that cause–effect relationships between variables can be described by a causal network corresponding to a linear structural equation model. Kuroki and Miyakawa (2003) proposed a graphical criterion for selecting covariates to identify the causal effect of a conditional intervention. In this paper, we extend Kuroki and Miyakawa (2003) graphical criterion for selecting covariates to identify the causal effect of a stochastic intervention. Since stochastic intervention is a generalization of conditional intervention, our paper makes the results of Kuroki and Miyakawa (2003) more generally applicable.
► Cause–effect relationships between variables can be described by a causal network. ► We identify the causal effect of a stochastic intervention. ► And we give a graphical criterion for selecting covariates. ► Our results are more generally applicable than that of Kuroki and Miyakawa (2003).