Efficient Estimation of the Dose–Response Function Under Ignorability Using Subclassification on the Covariates

DOI10.1108/S0731-9053(2011)000027A007zbMath1443.62027OpenAlexW2187040477MaRDI QIDQ3295704

Max H. Farrell, Matias D. Cattaneo

Publication date: 10 July 2020

Published in: Advances in Econometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1108/s0731-9053(2011)000027a007

zbMATH Keywords

stratificationblockingmissing datasemiparametric efficiencytreatment effectssubclassification

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Missing data (62D10)

Related Items (7)

Inference in Linear Regression Models with Many Covariates and Heteroscedasticity ⋮ A Mann-Whitney test of distributional effects in a multivalued treatment ⋮ Unnamed Item ⋮ Optimal convergence rates, Bahadur representation, and asymptotic normality of partitioning estimators ⋮ Robust inference on average treatment effects with possibly more covariates than observations ⋮ Large Sample Properties of Partitioning-Based Series Estimators ⋮ Non-separable models with high-dimensional data

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