A GMM interpretation of the paradox in the inverse probability weighting estimation of the average treatment effect on the treated
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Publication:631285
DOI10.1016/j.econlet.2010.11.001zbMath1274.62934OpenAlexW2128406187MaRDI QIDQ631285
Publication date: 22 March 2011
Published in: Economics Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.econlet.2010.11.001
paradoxgeneralized method of momentsmethod of momentsaverage treatment effectaverage treatment effect on the treatedestimated propensity score
Related Items (3)
ESTIMATORS FOR PERSISTENT AND POSSIBLY NONSTATIONARY DATA WITH CLASSICAL PROPERTIES ⋮ Efficient propensity score regression estimators of multivalued treatment effects for the treated ⋮ Moment redundancy test with application to efficiency-improving copulas
Cites Work
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- The central role of the propensity score in observational studies for causal effects
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- On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
- Asymptotic Properties of Weighted M-estimators for variable probability samples
- Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
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