The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
A Primer for Applying Propensity-Score Matching
Open accessAbstract
This document provides a guide to the key aspects of implementing Propensity-Score Matching (PSM) methodology. It summarizes the basic conditions under which PSM can be used to estimate the impact of a program and the data required, presenting examples of PSM applications. It explains how the Conditional Independence Assumption, combined with the Overlap Condition, reduces selection bias when participation in a program is determined by observable characteristics. It also describes different matching algorithms and some tests to assess the quality of the matching.
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Cites
The central role of the propensity score in observational studies for causal effects
ROSENBAUM, P. R., & RUBIN, D. B. (1983) · Biometrika · doi:10.1093/biomet/70.1.41 · Cited by 31,241
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
Statistics and Causal Inference
Holland, P. W. (1986) · Journal of the American Statistical Association · doi:10.1080/01621459.1986.10478354 · Cited by 5,293
Propensity Score-Matching Methods for Nonexperimental Causal Studies
Dehejia, R. H., & Wahba, S. (2002) · Review of Economics and Statistics · doi:10.1162/003465302317331982 · Cited by 4,846
Rosenbaum, P. R., & Rubin, D. B. (1985) · The American Statistician · doi:10.2307/2683903 · Cited by 4,774
Matching As An Econometric Evaluation Estimator
Heckman, J. J., Ichimura, H., & Todd, P. (1998) · Review of Economic Studies · doi:10.1111/1467-937x.00044 · Cited by 3,807
The Central Role of the Propensity Score in Observational Studies for Causal Effects
Rosenbaum, P. R., & Rubin, D. B. (1983) · Biometrika · doi:10.2307/2335942 · Cited by 3,261
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
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
Estimation of Average Treatment Effects Based on Propensity Scores
Becker, S. O., & Ichino, A. (2002) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x0200200403 · Cited by 2,754
Cited by
Mojo, D., Fischer, C., & Degefa, T. (2017) · Journal of Rural Studies · doi:10.1016/j.jrurstud.2016.12.010 · Cited by 382
From the Editors: Endogeneity in international business research
Reeb, D., Sakakibara, M., & Mahmood, I. P. (2012) · Journal of International Business Studies · doi:10.1057/jibs.2011.60 · Cited by 358
Kim, R. H., & Clark, D. (2013) · Journal of Criminal Justice · doi:10.1016/j.jcrimjus.2013.03.001 · Cited by 122
Dornbusch, F., & Neuhäusler, P. (2015) · Research Policy · doi:10.1016/j.respol.2015.04.003 · Cited by 67
Assessing the impact of national antibiotic campaigns in Europe
Filippini, M., Ortiz, L. G. G., & Masiero, G. (2013) · The European Journal of Health Economics · doi:10.1007/s10198-012-0404-9 · Cited by 55
Metadata
- Authors
- Heinrich, C., Maffioli, A., & Vázquez, G.
- Publisher
- Inter-American Development Bank
- Published
- 2010-08-20
- OpenAlex
- W1823171956
- Cited by
- 280
- References
- 36
- Type
- report
- Language
- en
- Open access
- gold
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