Estimating mode effects from a sequential mixed-mode experiment using structural moment models

DOI10.1214/21-AOAS1557zbMath1498.62317OpenAlexW4286005049MaRDI QIDQ2170411

Paul S. Clarke, Yanchun Bao

Publication date: 5 September 2022

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/21-aoas1557

zbMATH Keywords

instrumental variablegeneralized method of momentscausal inferencepotential outcomesencouragement design

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Causal inference from observational studies (62D20)

Cites Work

• Unnamed Item
• Unnamed Item
• Large Sample Properties of Generalized Method of Moments Estimators
• Structural nested models and G-estimation: the partially realized promise
• Estimating structural mean models with multiple instrumental variables using the generalised method of moments
• An imputation approach for handling mixed-mode surveys
• Semiparametric theory and missing data.
• Identification of Causal Effects Using Instrumental Variables
• Identification of causal effects on binary outcomes using structural mean models
• Estimating Outcome Distributions for Compliers in Instrumental Variables Models
• Correcting for non-compliance in randomized trials using structural nested mean models
• Bootstrapping Clustered Data

This page was built for publication: Estimating mode effects from a sequential mixed-mode experiment using structural moment models