Treatment Effect Identification
Treatment Effect Identification is a methodological framework within causal inference that distinguishes itself by enabling the estimation of causal effects from observed data through the establishment of conditions under which potential outcomes can be reliably inferred.
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2017–2026
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Semiparametric Difference-in-Differences Estimators
Alberto Abadie · The Review of Economic Studies · 2004 · 2.3K citations
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Harvard University
Cambridge, United States
22 h-index
50 publications
9.9K citations
Stanford University
Stanford, United States
20 h-index
29 publications
7K citations
University of Pennsylvania
Philadelphia, United States
15 h-index
27 publications
2.4K citations
University of California, Berkeley
Berkeley, United States
14 h-index
32 publications
9.3K citations
University of Chicago
Chicago, United States
13 h-index
20 publications
3.1K citations
Columbia University
New York, United States
12 h-index
20 publications
1.2K citations
University College London
London, United Kingdom
12 h-index
29 publications
2K citations
University of Michigan
Ann Arbor, United States
11 h-index
21 publications
1.4K citations
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20 publications · 4K citations
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Repository · 18 publications · 1K citations
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