方法证据记录
Matching Estimator
The matching estimator identifies the causal effect of a treatment by pairing each treated unit with one or more untreated units that have similar observed characteristics. Formalised by Rubin (1973) and given rigorous large-sample theory by Abadie and Imbens (2006), it constructs a credible control group from observational data without requiring a parametric model for the outcome.
源记录
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Nonparametric Matching Estimator for Average Treatment Effects
分类方法记录 · regression-model / causal-inference
- Abadie, A., & Imbens, G. W. (2006). Large Sample Properties of Matching Estimators for Average Treatment Effects. Econometrica, 74(1), 235-267. · DOI 10.1111/j.1468-0262.2006.00655.x
- Rubin, D. B. (1973). Matching to Remove Bias in Observational Studies. Biometrics, 29(1), 159-183. · DOI 10.2307/2529684
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