Optimal allocation of partial and complete samples under a budget constraint reduces the asymptotic variance of the IV causal effect estimator in specific Gaussian graphical model configurations.
Routledge (Sep 2017)
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Optimizing Experimental Design for Causal Effect Estimation with Partial Measurements
Optimal allocation of partial and complete samples under a budget constraint reduces the asymptotic variance of the IV causal effect estimator in specific Gaussian graphical model configurations.