In finite population M-estimation, cluster-robust standard errors are justified by cluster sampling or cluster assignment, and a covariate-adjusted variance estimator can be valid and less conservative than existing two-way cluster-robust estimators.
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Clustering with Potential Multidimensionality: Inference and Practice
In finite population M-estimation, cluster-robust standard errors are justified by cluster sampling or cluster assignment, and a covariate-adjusted variance estimator can be valid and less conservative than existing two-way cluster-robust estimators.