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Finite-Sample Properties of Propensity-Score Matching and Weighting Estimators
Abstract
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-neighbor matching, and particularly the weighting estimators performed worst. Ridge matching, on the other hand, leads to an approximately 25% smaller MSE than does pair matching. In addition, ridge matching is least sensitive to the design choice.
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Citations
Cites
Does matching overcome lalonde’s critique of nonexperimental estimators?
A. Smith, J., & E. Todd, P. (2005) · Journal of Econometrics · doi:10.1016/j.jeconom.2004.04.011 · Cited by 3,176
Cited by
Hainmueller, J. (2012) · Political Analysis · doi:10.1093/pan/mpr025 · Cited by 6,026
Recent Developments in the Econometrics of Program Evaluation
Imbens, G. W., & Wooldridge, J. M. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.1.5 · Cited by 4,926
Does matching overcome lalonde’s critique of nonexperimental estimators?
A. Smith, J., & E. Todd, P. (2005) · Journal of Econometrics · doi:10.1016/j.jeconom.2004.04.011 · Cited by 3,176
Bias-Corrected Matching Estimators for Average Treatment Effects
Abadie, A., & Imbens, G. W. (2011) · Journal of Business & Economic Statistics · doi:10.1198/jbes.2009.07333 · Cited by 1,416
How robust is the evidence on the effects of college quality? Evidence from matching
Black, D. A., & Smith, J. A. (2004) · Journal of Econometrics · doi:10.1016/j.jeconom.2003.10.006 · Cited by 673
Metadata
- Authors
- Frölich, M.
- Venue
- Review of Economics and Statistics
- Publisher
- MIT Press - Journals
- Published
- 2004-02
- Volume
- 86
- Issue
- 1
- Pages
- 77-90
- ISSN
- 0034-6535 (ISSN-L)
- 1530-9142
- OpenAlex
- W2127403366
- Cited by
- 399
- References
- 1
- FWCI
- 13.78
- Type
- journal article
- Language
- en
- Open access
- closed
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