Practical propensity score matching: a reply to Smith and Todd
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Publication:262740
DOI10.1016/J.JECONOM.2004.04.012zbMath1334.62209OpenAlexW2084854969MaRDI QIDQ262740
Publication date: 30 March 2016
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jeconom.2004.04.012
Applications of statistics to economics (62P20) Statistical methods; economic indices and measures (91B82)
Related Items (5)
Parametric links for binary choice models: a Fisherian-Bayesian colloquy ⋮ The performance of estimators based on the propensity score ⋮ Causal inferences from many experiments ⋮ A Martingale Representation for Matching Estimators ⋮ Missing data imputation, matching and other applications of random recursive partitioning
Cites Work
- Rejoinder: ``Does matching overcome LaLonde's critique of nonexperimental estimators?
- Affinely invariant matching methods with ellipsoidal distributions
- Using Multivariate Matched Sampling and Regression Adjustment to Control Bias in Observational Studies
- The central role of the propensity score in observational studies for causal effects
- Matching As An Econometric Evaluation Estimator
- Characterizing the effect of matching using linear propensity score methods with normal distributions
- Multivariate Matching Methods That are Equal Percent Bias Reducing, I: Some Examples
- Multivariate Matching Methods That are Equal Percent Bias Reducing, II: Maximums on Bias Reduction for Fixed Sample Sizes
- Matching Using Estimated Propensity Scores: Relating Theory to Practice
- Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme
- Characterizing Selection Bias Using Experimental Data
- Bias-Corrected Matching Estimators for Average Treatment Effects
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