The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Reconciling Conflicting Evidence on the Performance of Propensity-Score Matching Methods
Abstract
Reconciling Conflicting Evidence on the Performance of Propensity-Score Matching Methods by Jeffrey A. Smith and Petra E. Todd. Published in volume 91, issue 2, pages 112-118 of American Economic Review, May 2001
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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
Characterizing Selection Bias Using Experimental Data
Heckman, J., Ichimura, H., Smith, J., & Todd, P. (1998) · Econometrica · doi:10.2307/2999630 · Cited by 2,286
Self-citation
Cited by
Mostly Harmless Econometrics: An Empiricist's Companion
Angrist, J. D., & Pischke, J.-S. (2009) · doi:10.1515/9781400829828 · Cited by 9,467
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
Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review
Imbens, G. W. (2004) · Review of Economics and Statistics · doi:10.1162/003465304323023651 · Cited by 2,994
Large sample properties of matching estimators for average treatment effects
Abadie, A., & Imbens, G. W. (2006) · Econometrica · doi:10.1111/j.1468-0262.2006.00655.x · Cited by 2,908
Metadata
- Authors
- Smith, J. A., & Todd, P. E.
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2001-05-01
- Volume
- 91
- Issue
- 2
- Pages
- 112-118
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W1995875958
- Cited by
- 331
- References
- 2
- FWCI
- 12.28
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
