Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
Generalized instrumental variables
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
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Pearl has provided the back door criterion, the front door criterion and the conditional instrumental variable (IV) method as identifiability criteria for total effects. In some situations, these three criteria can be applied to identifying total effects simultaneously. For the purpose of increasing estimating accuracy, this paper compares the three ways of identifying total effects in terms of the asymptotic variance, and concludes that in some situations the superior of them can be recognized directly from the graph structure.