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Found 3 papers, 1 papers with code
Causal inference with misspecified exposure mappings: separating definitions and assumptions
This paper argues that the two roles exposure mappings currently serve can, and typically should, be separated, so that exposures are used to define effects without necessarily assuming that they are capturing the complete causal structure in the experiment.
Causal Inference
Statistics Theory
Econometrics
Methodology
Statistics Theory
Balancing Covariates in Randomized Experiments with the Gram-Schmidt Walk Design
Asymptotically, the design perfectly balances all linear functions of a growing number of covariates with a diminishing reduction in robustness, effectively allowing experimenters to escape the compromise between balance and robustness in large samples.
Methodology Data Structures and Algorithms Statistics Theory Statistics Theory
On the inconsistency of matching without replacement
The paper shows that matching without replacement on propensity scores produces estimators that generally are inconsistent for the average treatment effect of the treated.
