Treatment Effects
Treatment Effects is a causal inference framework in econometrics that identifies and estimates the impact of a specific intervention or policy on an outcome variable by comparing potential outcomes under treatment and non-treatment conditions.
3.7K
Publications
611.2K
Citations
5.8K
Authors
1.8K
Institutions
Publications per year
2017–2026
1.3K
3.7K
1–5 of 3.7K
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Harvard University
Cambridge, United States
84 h-index
426 publications
89K citations
University of California, Berkeley
Berkeley, United States
64 h-index
272 publications
32.6K citations
University of Chicago
Chicago, United States
57 h-index
162 publications
66.4K citations
Stanford University
Stanford, United States
55 h-index
188 publications
39.7K citations

National Bureau of Economic Research
Cambridge, United States
55 h-index
180 publications
75K citations

Harvard University Press
Cambridge, United States
51 h-index
124 publications
41.4K citations
University of Pennsylvania
Philadelphia, United States
48 h-index
236 publications
31K citations
University of Michigan
Ann Arbor, United States
47 h-index
150 publications
19.5K citations
1–8 of 1.8K
214 publications · 32.1K citations
71
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151 publications · 42.5K citations
66
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Repository · 226 publications · 15.1K citations
58
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103 publications · 7.7K citations
43
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48 publications · 28.9K citations
39
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