Efficient propensity score regression estimators of multivalued treatment effects for the treated
DOI10.1016/j.jeconom.2018.02.002zbMath1452.62376OpenAlexW2208736000MaRDI QIDQ1753057
Publication date: 25 May 2018
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://ora.ox.ac.uk/objects/uuid:64151488-98d6-42fa-b0c4-5b7530a3f806
semiparametric efficiency boundpropensity scoreunconfoundednessgenerated regressormultivalued treatment
Applications of statistics to economics (62P20) Estimation in multivariate analysis (62H12) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)
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Cites Work
- Efficient Semiparametric Estimation of Quantile Treatment Effects
- Does matching overcome LaLonde's critique of nonexperimental estimators?
- Robust inference on average treatment effects with possibly more covariates than observations
- A GMM interpretation of the paradox in the inverse probability weighting estimation of the average treatment effect on the treated
- The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation
- Weak convergence and empirical processes. With applications to statistics
- Semiparametric efficiency in GMM models with auxiliary data
- The performance of estimators based on the propensity score
- Uniform convergence of weighted sums of non and semiparametric residuals for estimation and testing
- Efficient semiparametric estimation of multi-valued treatment effects under ignorability
- Asymptotic Variance of Semiparametric Estimators With Generated Regressors
- SEMIPARAMETRIC ESTIMATION WITH GENERATED COVARIATES
- Efficiency Bounds for Missing Data Models With Semiparametric Restrictions
- Simulation and the Asymptotics of Optimization Estimators
- The central role of the propensity score in observational studies for causal effects
- Matching As An Econometric Evaluation Estimator
- Asymptotic Statistics
- Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme
- The role of the propensity score in estimating dose-response functions
- On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
- Matching on the Estimated Propensity Score
- Research Design Meets Market Design: Using Centralized Assignment for Impact Evaluation
- Causal Inference for Statistics, Social, and Biomedical Sciences
- Propensity score matching and subclassification in observational studies with multi‐level treatments
- Large Sample Properties of Matching Estimators for Average Treatment Effects
- Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
- Estimation of Semiparametric Models when the Criterion Function Is Not Smooth
- Causal Inference With General Treatment Regimes
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