The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Propensity Score-Matching Methods for Nonexperimental Causal Studies
Abstract
This paper considers causal inference and sample selection bias in nonexperimental settings in which (i) few units in the nonexperimental comparison group are comparable to the treatment units, and (ii) selecting a subset of comparison units similar to the treatment units is difficult because units must be compared across a high-dimensional set of pre-treatment characteristics. We discuss the use of propensity score-matching methods, and implement them using data from the National Supported Work experiment. Following LaLonde (1986), we pair the experimental treated units with nonexperimental comparison units from the CPS and PSID, and compare the estimates of the treatment effect obtained using our methods to the benchmark results from the experiment. For both comparison groups, we show that the methods succeed in focusing attention on the small subset of the comparison units comparable to the treated units and, hence, in alleviating the bias due to systematic differences between the treated and comparison units.
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Cites
Statistics and Causal Inference
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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
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Cited by
SOME PRACTICAL GUIDANCE FOR THE IMPLEMENTATION OF PROPENSITY SCORE MATCHING
Caliendo, M., & Kopeinig, S. (2008) · Journal of Economic Surveys · doi:10.1111/j.1467-6419.2007.00527.x · Cited by 6,238
Matching Methods for Causal Inference: A Review and a Look Forward
Stuart, E. A. (2010) · Statistical Science · doi:10.1214/09-sts313 · Cited by 5,478
Causal Inference without Balance Checking: Coarsened Exact Matching
Iacus, S. M., King, G., & Porro, G. (2012) · Political Analysis · doi:10.1093/pan/mpr013 · Cited by 3,563
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
Endogeneity in Empirical Corporate Finance1
Roberts, M. R., & Whited, T. M. (2013) · Handbook of the Economics of Finance · doi:10.1016/b978-0-44-453594-8.00007-0 · Cited by 2,459
Metadata
- Authors
- Dehejia, R. H., & Wahba, S.
- Venue
- Review of Economics and Statistics
- Publisher
- MIT Press - Journals
- Published
- 2002-02
- Volume
- 84
- Issue
- 1
- Pages
- 151-161
- ISSN
- 0034-6535 (ISSN-L)
- 1530-9142
- OpenAlex
- W3123974754
- Cited by
- 4,846
- References
- 8
- FWCI
- 57.94
- Type
- journal article
- Language
- en
- Open access
- closed
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