Double robustness for complier parameters and a semi-parametric test for complier characteristics

Debiased machine learning of global and local parameters using regularized Riesz representers

(2022) Victor Chernozhukov et al.   Econometrics Journal

A simple and general debiased machine learning theorem with finite-sample guarantees

(2022) V Chernozhukov et al.   BIOMETRIKA

Augmented minimax linear estimation

(2021) David A. Hirshberg et al.   ANNALS OF STATISTICS

Characterization of parameters with a mixed bias property

(2020) A Rotnitzky et al.   BIOMETRIKA

Double/debiased machine learning for treatment and structural parameters

(2018) Victor Chernozhukov et al.   Econometrics Journal

Approximate residual balancing: debiased inference of average treatment effects in high dimensions

(2018) Susan Athey et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

A GENERAL DOUBLE ROBUSTNESS RESULT FOR ESTIMATING AVERAGE TREATMENT EFFECTS

(2017) Tymon Słoczyński et al.   ECONOMETRIC THEORY

Statistical inference for the mean outcome under a possibly non-unique optimal treatment strategy

(2016) Alexander R. Luedtke et al.   ANNALS OF STATISTICS

Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data

(2015) José R. Zubizarreta   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Pivotal estimation via square-root Lasso in nonparametric regression

(2014) Alexandre Belloni et al.   ANNALS OF STATISTICS

The Elite Illusion: Achievement Effects at Boston and New York Exam Schools

(2014)   ECONOMETRICA

Doubly robust estimation of the local average treatment effect curve

(2014) Elizabeth L. Ogburn et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Instrumental variable methods for causal inference

(2014) Michael Baiocchi et al.   STATISTICS IN MEDICINE

Commentary

(2013) Sonja A. Swanson et al.   EPIDEMIOLOGY

Efficient nonparametric estimation of causal effects in randomized trials with noncompliance

(2009) J. Cheng et al.   BIOMETRIKA