Derives non-normalized CLT with explicit limiting variance for Abadie-Imbens fixed-match nearest-neighbor estimators of ATE.
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Introduces inverse post-matching probability weighting for randomization-based inference of average treatment effects under inexact matching in observational studies.
A unified least squares framework for identifying and estimating causal effects in crossover designs that remains valid under misspecified working models.
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Limit theorems of matching estimators with a fixed number of matches
Derives non-normalized CLT with explicit limiting variance for Abadie-Imbens fixed-match nearest-neighbor estimators of ATE.