Estimation of average treatment effect based on a semiparametric propensity score

DOI10.1080/07474938.2021.1889206zbMath1490.62485OpenAlexW3188237942MaRDI QIDQ5861053

Q. Li, Yu Sun, Karen X. Yan

Publication date: 4 March 2022

Published in: Econometric Reviews (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/07474938.2021.1889206

zbMATH Keywords

average treatment effectpropensity scoressingle-index method

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric estimation (62G05)

Related Items (1)

Econometric Reviews Honors Cheng Hsiao

Cites Work

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• Semiparametric least squares (SLS) and weighted SLS estimation of single-index models
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• Irregular Identification, Support Conditions, and Inverse Weight Estimation
• The central role of the propensity score in observational studies for causal effects
• On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
• Statistical Inference for Average Treatment Effects Estimated by Synthetic Control Methods
• Large Sample Properties of Matching Estimators for Average Treatment Effects
• Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score

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