Non-vacuity of improved covariate-adjusted variance

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Let νrd\nu^{\mathsf{rd}}, νrd†\nu^{\mathsf{rd}\dag}, and var(τ^unadj)\mathsf{var}(\widehat{\tau}_{\mathsf{unadj}}) denote the variance quantities defined in the paper for the covariate-adjusted and unadjusted estimators. The data-generating process for which

νrd<νrd†\nu^{\mathsf{rd}} < \nu^{\mathsf{rd}\dag}

and

νrd<var(τ^unadj)\nu^{\mathsf{rd}} < \mathsf{var}(\widehat{\tau}_{\mathsf{unadj}})

is not vacuous.

This asserts that there are data-generating processes under which the relevant covariate-adjusted procedure has smaller variance than both the comparison variance νrd†\nu^{\mathsf{rd}\dag} and the variance of the unadjusted estimator. The claim supports the paper's motivation for higher-order covariate adjustment, although the supplied text does not establish whether such a data-generating process has been exhibited or whether the claim remains unresolved.

References

Primary source

Sihui Zhao, Xinbo Wang, Lin Liu and Xin Zhang, “Covariate Adjustment in Randomized Experiments Motivated by Higher-Order Influence Functions”, arXiv:2411.08491 (2025).

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