Instrumental Variable Estimators for Binary Outcomes

DOI10.1080/01621459.2012.734171zbMath1258.62095OpenAlexW2101031176WikidataQ63353166 ScholiaQ63353166MaRDI QIDQ4904739

Paul S. Clarke, Frank A. G. Windmeijer

Publication date: 31 January 2013

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01621459.2012.734171

zbMATH Keywords

noncomplianceparameter identificationgeneralized method of momentsboundscausal inferencepotential outcomeslocal average treatment effectsstructural mean modelsmarginal structural modelsstructural models

Mathematics Subject Classification ID

Related Items (9)

On Semiparametric Instrumental Variable Estimation of Average Treatment Effects through Data Fusion ⋮ Copula regression spline models for binary outcomes ⋮ Randomization inference for cluster-randomized test-negative designs with application to dengue studies: unbiased estimation, partial compliance, and stepped-wedge design ⋮ Instrumental variable analysis for cost outcome: Application to the effect of primary care visit on medical cost among low‐income adults ⋮ A joint regression modeling framework for analyzing bivariate binary data in \(\mathsf{R}\) ⋮ Assumptions of IV methods for observational epidemiology ⋮ The identification region of the potential outcome distributions under instrument independence ⋮ A causal proportional hazards estimator under homogeneous or heterogeneous selection in an IV setting ⋮ On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments

Uses Software

• Stata
• bpbounds

Cites Work

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• Measurement Error in Nonlinear Models

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