A covariate-conditional distributional bridge identifies the ATT under non-monotonic confounding and yields a Neyman-orthogonal, semiparametrically efficient estimator.
(II) The EIF ofϑQT T,τis the difference betweenIF[ϑ1] and IF[ϑ2], where the first one is well- known in the literature, e.g
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On a Debiased and Semiparametric Efficient Changes-in-Changes Estimator
A covariate-conditional distributional bridge identifies the ATT under non-monotonic confounding and yields a Neyman-orthogonal, semiparametrically efficient estimator.