On Semiparametric Instrumental Variable Estimation of Average Treatment Effects through Data Fusion
From MaRDI portal
Publication:5067435
DOI10.5705/ss.202020.0081zbMath1483.62042arXiv1810.03353OpenAlexW3176709094MaRDI QIDQ5067435
Publication date: 1 April 2022
Published in: Statistica Sinica (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1810.03353
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Large Sample Properties of Generalized Method of Moments Estimators
- Doubly Robust Estimation in Missing Data and Causal Inference Models
- Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score
- Causal inference using invariant prediction: identification and confidence intervals
- Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
- Comment: Understanding OR, PS and DR
- Assumptions of IV methods for observational epidemiology
- Robust inference for the two-sample 2SLS estimator
- Unified methods for censored longitudinal data and causality
- Semiparametric instrumental variable estimation of treatment response models.
- Two-sample instrumental variable analyses using heterogeneous samples
- Semiparametric efficiency in GMM models with auxiliary data
- Semiparametric theory and missing data.
- The Semiparametric Case-Only Estimator
- Nonparametric likelihood and doubly robust estimating equations for marginal and nested structural models
- Robust Causal Inference with Continuous Instruments Using the Local Instrumental Variable Curve
- Identification of Causal Effects Using Instrumental Variables
- A Distributional Approach for Causal Inference Using Propensity Scores
- Identification and Estimation of Local Average Treatment Effects
- Bounds on Treatment Effects From Studies With Imperfect Compliance
- On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
- Semiparametric Estimation with Data Missing Not at Random Using an Instrumental Variable
- On Inverse Probability Weighting for Nonmonotone Missing at Random Data
- Correcting for non-compliance in randomized trials using structural nested mean models
- Instrumental Variable Estimators for Binary Outcomes
- Bounded, Efficient and Multiply Robust Estimation of Average Treatment Effects Using Instrumental Variables
- Partial Identification of the Average Treatment Effect Using Instrumental Variables: Review of Methods for Binary Instruments, Treatments, and Outcomes
- Double/debiased machine learning for treatment and structural parameters
- Improved methods for moment restriction models with data combination and an application to two‐sample instrumental variable estimation
- Marginal and Nested Structural Models Using Instrumental Variables
- On doubly robust estimation in a semiparametric odds ratio model
- Bias-Reduced Doubly Robust Estimation
- Doubly Robust Estimation of the Local Average Treatment Effect Curve
- On falsification of the binary instrumental variable model
- Multiple robustness in factorized likelihood models
- Mendelian randomization as an instrumental variable approach to causal inference
- Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
- Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings
- The Probability Approach in Econometrics
- A Semiparametric Instrumental Variable Approach to Optimal Treatment Regimes Under Endogeneity
This page was built for publication: On Semiparametric Instrumental Variable Estimation of Average Treatment Effects through Data Fusion