Matching Estimators
Matching Estimators is a statistical method in nonparametric econometrics that belongs to the class of causal inference techniques, distinguished by its use of observed covariates to pair treated and control units in order to estimate treatment effects under the assumption of unconfoundedness.
429
Publications
79.6K
Citations
673
Authors
413
Institutions
Publications per year
2017–2026
84
Parents
429
Matching As An Econometric Evaluation Estimator
James J. Heckman, Hidehiko Ichimura, Petra Todd · The Review of Economic Studies · 1998 · 3.8K citations
1–5 of 429
673
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413
Harvard University
Cambridge, United States
22 h-index
38 publications
16.8K citations
IZA - Institute of Labor Economics
Bonn, Germany
21 h-index
47 publications
3K citations

Harvard University Press
Cambridge, United States
17 h-index
24 publications
11.8K citations

University of St.Gallen
Saint Gallen, Switzerland
16 h-index
34 publications
4.3K citations

National Bureau of Economic Research
Cambridge, United States
15 h-index
24 publications
3.6K citations
University of California, Berkeley
Berkeley, United States
14 h-index
22 publications
5.1K citations

Johns Hopkins University
Baltimore, United States
11 h-index
16 publications
674 citations
University of Chicago
Chicago, United States
10 h-index
17 publications
12.4K citations
1–8 of 413
Repository · 56 publications · 2.9K citations
28
h-index
19 publications · 5.7K citations
18
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16 publications · 8.9K citations
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Repository · 18 publications · 3.3K citations
14
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10 publications · 2.4K citations
10
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