The covariance of causal effect estimators for binary v-structures

Abstract

Previously [Journal of Causal Inference, 10, 90-105 (2022)], we computed the variance of two estimators of causal effects for a v-structure of binary variables. Here we show that a linear combination of these estimators has lower variance than either. Furthermore, we show that this holds also when the treatment variable is block randomised with a predefined number receiving treatment, with analogous results to when it is sampled randomly.

6 page technical report with 2 figures and 8 pages of supplementary appendices (with 3 more figures)