Overlap weight and propensity score residual for heterogeneous effects: a review with extensions
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Publication:2676883
DOI10.1016/j.jspi.2022.04.003OpenAlexW4225012091MaRDI QIDQ2676883
Myoung-jae Lee, Jin Young Choi
Publication date: 28 September 2022
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2022.04.003
Cites Work
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- Propensity score weighting for causal inference with multiple treatments
- Large Sample Properties of Generalized Method of Moments Estimators
- Rejoinder: ``Does matching overcome LaLonde's critique of nonexperimental estimators?
- Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
- Comment: Performance of double-robust estimators when ``inverse probability weights are highly variable
- Treatment effects in sample selection models and their nonparametric estimation
- Double robustness without weighting
- Bounded, efficient and doubly robust estimation with inverse weighting
- Improved double-robust estimation in missing data and causal inference models
- Non-Parametric Tests for Distributional Treatment Effect for Randomly Censored Responses
- Dealing with limited overlap in estimation of average treatment effects
- The central role of the propensity score in observational studies for causal effects
- Root-N-Consistent Semiparametric Regression
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- The role of the propensity score in estimating dose-response functions
- Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
- Matching on the Estimated Propensity Score
- Balancing Covariates via Propensity Score Weighting
- Estimating Exposure Effects by Modelling the Expectation of Exposure Conditional on Confounders
- Instrument Residual Estimator for Any Response Variable with Endogenous Binary Treatment
- Double/debiased machine learning for treatment and structural parameters
- Causal Inference for Statistics, Social, and Biomedical Sciences
- Bias-Reduced Doubly Robust Estimation
- Simple least squares estimator for treatment effects using propensity score residuals
- Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
- Covariate Balancing Propensity Score
- A Generalization of Sampling Without Replacement From a Finite Universe
- Observational studies.
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