The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Matching Methods in Practice: Three Examples
Open accessAbstract
There is a large theoretical literature on methods for estimating causal effects under unconfoundedness, exogeneity, or selection-on-observables type assumptions using matching or propensity score methods. Much of this literature is highly technical and has not made inroads into empirical practice where many researchers continue to use simple methods such as ordinary least squares regression even in settings where those methods do not have attractive properties. In this paper, I discuss some of the lessons for practice from the theoretical literature and provide detailed recommendations on what to do. I illustrate the recommendations with three detailed applications.
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Citations
Cites
Regression shrinkage and selection via the lasso
Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1996.tb02080.x · Cited by 51,482
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
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
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
Hainmueller, J. (2012) · Political Analysis · doi:10.1093/pan/mpr025 · Cited by 6,026
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
Reducing Bias in Observational Studies Using Subclassification on the Propensity Score
Rosenbaum, P. R., & Rubin, D. B. (1984) · Journal of the American Statistical Association · doi:10.1080/01621459.1984.10478078 · Cited by 3,082
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
Self-citationLarge 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
Self-citationEstimation 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
Revisiting Event Study Designs
Borusyak, K., & Jaravel, X. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2826228 · Cited by 463
The Effects of the 1930s HOLC “Redlining” Maps
Aaronson, D., Hartley, D., & Mazumder, B. (2021) · American Economic Journal: Economic Policy · doi:10.1257/pol.20190414 · Cited by 349
Gordon, B. R., Zettelmeyer, F., Bhargava, N., & Chapsky, D. (2019) · Marketing Science · doi:10.1287/mksc.2018.1135 · Cited by 287
Aaronson, D., Faber, J., Hartley, D., Mazumder, B., & Sharkey, P. (2021) · Regional Science and Urban Economics · doi:10.1016/j.regsciurbeco.2020.103622 · Cited by 171
Koch, N., & Basse Mama, H. (2019) · Energy Economics · doi:10.1016/j.eneco.2019.04.018 · Cited by 148
Metadata
- Authors
- Imbens, G. W.
- Venue
- Journal of Human Resources
- Publisher
- University of Wisconsin Press
- Published
- 2015
- Volume
- 50
- Issue
- 2
- Pages
- 373-419
- ISSN
- 0022-166X (ISSN-L)
- 1548-8004
- OpenAlex
- W2892053163
- Cited by
- 445
- References
- 51
- FWCI
- 30.37
- Type
- journal article
- Language
- en
- Open access
- bronze
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