The DOI matches its Crossref record; 108 of the 111 references it cites were found in a registry or an index.
SOME PRACTICAL GUIDANCE FOR THE IMPLEMENTATION OF PROPENSITY SCORE MATCHING
Abstract
Propensity score matching (PSM) has become a popular approach to estimate causal treatment effects. It is widely applied when evaluating labour market policies, but empirical examples can be found in very diverse fields of study. Once the researcher has decided to use PSM, he is confronted with a lot of questions regarding its implementation. To begin with, a first decision has to be made concerning the estimation of the propensity score. Following that one has to decide which matching algorithm to choose and determine the region of common support. Subsequently, the matching quality has to be assessed and treatment effects and their standard errors have to be estimated. Furthermore, questions like ‘what to do if there is choice‐based sampling?’ or ‘when to measure effects?’ can be important in empirical studies. Finally, one might also want to test the sensitivity of estimated treatment effects with respect to unobserved heterogeneity or failure of the common support condition. Each implementation step involves a lot of decisions and different approaches can be thought of. The aim of this paper is to discuss these implementation issues and give some guidance to researchers who want to use PSM for evaluation purposes.
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“To minimize confounding bias, AD cases and non-AD controls were matched 1:1 on age, sex, and race/ethnicity using propensity score matching (37).”
From Alzheimer's Disease–Associated Amyloid-β Precursor Protein Prevents Aging Stress–Induced Mitophagy and Fumarate Depletion to Improve Antitumor Immunity (2025) · cites this paper as [37]
In the citing paper
“We used directed acyclic graphs to identify factors that could be associated with both reading for pleasure and children's strengths and difficulties, or with children's strengths and difficulties only based on previous empirical research (Brookhart et al., 2006; Caliendo and Kopeinig, 2008; Rubin, 2001; Sauer and VanderWeele, 2013).”
From Longitudinal associations between reading for pleasure and child maladjustment: Results from a propensity score matching analysis (2020) · cites this paper as Caliendo and Kopeinig, 2008
In the citing paper
“We imposed the common support condition to ensure the quality of the matches (Caliendo and Kopeinig, 2008).”
From Longitudinal associations between reading for pleasure and child maladjustment: Results from a propensity score matching analysis (2020) · cites this paper as Caliendo and Kopeinig, 2008
Citations
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
(2001) · RePEc: Research Papers in Economics · Cited by 27,577
Classification and Regression Trees.
Gordon, A. D., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1984) · Biometrics · doi:10.2307/2530946 · Cited by 23,867
Classification and Regression Trees.
Ryzin, J. V., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1986) · Journal of the American Statistical Association · doi:10.2307/2288003 · Cited by 21,030
Density Estimation for Statistics and Data Analysis
Silverman, B. W. (2018) · Routledge eBooks · doi:10.1201/9781315140919 · Cited by 15,938
Statistical Aspects of the Analysis of Data From Retrospective Studies of Disease
(1959) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/22.4.719 · Cited by 14,689
Estimating causal effects of treatments in randomized and nonrandomized studies
Rubin, D. B. (1974) · Journal of Educational Psychology · doi:10.1037/h0037350 · Cited by 9,436
Density Estimation for Statistics and Data Analysis
(1986) · Springer eBooks · doi:10.1007/978-1-4899-3324-9 · Cited by 8,569
Becker, G. S. (1983) · Cited by 6,708
Rosenbaum, P. R., & Rubin, D. B. (1985) · The American Statistician · doi:10.2307/2683903 · Cited by 6,472
Research works printed but not linked: 3
- Greene W.H., 2003, Econometric Analysis
- 10.2307/1390693 · DOI
- Lechner M., 1998, Qualifikation, Weiterbildung und Arbeitsmarkterfolg. ZEW‐Wirtschaftsanalysen Band 31
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Szücs, F. (2018) · Research Policy · doi:10.1016/j.respol.2018.04.009 · Cited by 200
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Görg, H., Henry, M., & Strobl, E. (2008) · The Review of Economics and Statistics · doi:10.1162/rest.90.1.168 · Cited by 187
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Paulsen, J., & McCormick, A. C. (2020) · Educational Researcher · doi:10.3102/0013189x19898690 · Cited by 186
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Tykvová, T., & Borell, M. (2011) · Journal of Corporate Finance · doi:10.1016/j.jcorpfin.2011.11.004 · Cited by 185
Ragasa, C., Lambrecht, I. B., & Kufoalor, D. S. (2017) · World Development · doi:10.1016/j.worlddev.2017.09.008 · Cited by 185
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Metadata
- Authors
- Caliendo, M., & Kopeinig, S.
- Affiliations
- IZA - Institute of Labor Economics (DE)
- ORCID
- Caliendo, Marco
- Venue
- Journal of Economic Surveys
- Publisher
- Wiley
- Published
- 2008-01-31
- Volume
- 22
- Issue
- 1
- Pages
- 31-72
- ISSN
- 0950-0804 (ISSN-L)
- 1467-6419
- OpenAlex
- W2159805452
- Cited by
- 6,238
- References
- 111
- Citations by year
- 2026: 382 · 2025: 443 · 2024: 428 · 2023: 426 · 2022: 459 · 2021: 455 · 2020: 430 · 2019: 401 · 2018: 396 · 2017: 362 · 2016: 341 · 2015: 338 · 2014: 367 · 2013: 261 · 2012: 234
- FWCI
- 143.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Economic Surveys (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Social Sciences › Public Administration › Evaluation and Performance Assessment
- Social Sciences › Education › School Choice and Performance
- Keywords
- propensity score matching, causal treatment effects, common support, choice-based sampling, unobserved heterogeneity, sensitivity analysis, labour market policy evaluation
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