Estimation of causal effects with small data under implicit functional constraints

6 Mar 2020Jouni HelskeSanttu TikkaJuha Karvanen

We consider the problem of estimating causal effects of interventions from observational data when well-known back-door and front-door adjustments are not applicable. We show that when an identifiable causal effect is subject to an implicit functional constraint that is not deducible from conditional independence relations, the estimator of the causal effect can exhibit bias due to small samples and the functional constraint through variables that we call trapdoor variables... (read more)

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