Introduces a nonparametric identification condition using cyclic monotonicity of the first stage for multivariate IV models with binary instruments, with a corrigendum updating the proof to inverse Brenier maps for more flexible distributions.
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Establishes root-n consistency and asymptotic normality for the plug-in estimator of E[F_Y^{-1} ∘ F_Z(X)] under weaker conditions allowing unbounded support, plus a consistent variance estimator.
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A condition for the identification of multivariate models with binary instruments -- with Corrigendum and Addendum
Introduces a nonparametric identification condition using cyclic monotonicity of the first stage for multivariate IV models with binary instruments, with a corrigendum updating the proof to inverse Brenier maps for more flexible distributions.
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Asymptotic Properties of Empirical Quantile-Based Estimators
Establishes root-n consistency and asymptotic normality for the plug-in estimator of E[F_Y^{-1} ∘ F_Z(X)] under weaker conditions allowing unbounded support, plus a consistent variance estimator.