Finite sample properties of propensity-score matching and weighting estimators
Auteur(s)
Markus Froelich
Accéder
Descrizione
In this paper the finite-sample properties of matching and weighting estimators, often used for estimating average treatment effects, are analyzed. Potential and feasible precision gains relative to pair-matching are examined. Local linear matching (with and without trimming), k-nearest neighbour matching, and particularly the weighting estimators performed worst. Ridge matching, on the other hand, leads to an about 25% smaller MSE vis-a-vis pair-matching. In addition, ridge matching is least sensitive to the design choice. Download Discussion Paper: (pdf, 516 kb)
Institution partenaire
Langue
English
Data
2004
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