Using Matching to Estimate Treatment Effects: Data Requirements, Matching Metrics, and Monte Carlo Evidence
Top Cited Papers
- 1 February 2004
- journal article
- Published by MIT Press in The Review of Economics and Statistics
- Vol. 86 (1), 91-107
- https://doi.org/10.1162/003465304323023705
Abstract
We compare propensity-score matching methods with covari- atematchingestimators.Weé rstdiscussthedatarequirementsofpropensity- score matching estimators and covariate matching estimators. Then we propose two new matching metrics incorporating the treatment outcome information and participation indicator information, and discuss the mo- tivations of different metrics. Next we study the small-sample properties of propensity-score matching versus covariate matching estimators, and of different matching metrics, through Monte Carlo experiments. Through a series of simulations, we provide some guidance to practitioners on how to choose among different matching estimators and matching metrics.Keywords
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