Identification of the outcome distribution and sensitivity analysis under weak confounder-instrument interaction

DOI10.1016/J.SPL.2022.109590OpenAlexW4283312763MaRDI QIDQ2170243

Lu Mao

Publication date: 30 August 2022

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2022.109590

zbMATH Keywords

causal inferencemultiple robustnessquantile treatment effectefficient influence functionnonignorable noncompliance

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Research exposition (monographs, survey articles) pertaining to statistics (62-02)

Cites Work

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• On a necessary and sufficient identification condition of optimal treatment regimes with an instrumental variable
• Nonparametric Estimation under Shape Constraints
• Identification of Causal Effects Using Instrumental Variables
• Estimating Outcome Distributions for Compliers in Instrumental Variables Models
• Bounded, Efficient and Multiply Robust Estimation of Average Treatment Effects Using Instrumental Variables
• On causal estimation using $U$-statistics
• Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings

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