Quasi-experimental Evaluation
Quasi-Experimental Evaluation is a rigorous impact evaluation design that belongs to the broader class of causal inference methods, distinguished by its use of naturally occurring or externally imposed variations to approximate experimental conditions without random assignment, thereby enabling credible estimation of causal effects in real-world policy and program settings.
164
Publications
24.8K
Citations
376
Authors
211
Institutions
Publications per year
2017–2026
43
164
1–5 of 164
376
6
h-index
5
h-index
4
h-index
3
h-index
3
h-index
1–5 of 376
211
Northwestern University
Evanston, United States
5 h-index
7 publications
1.6K citations
University of California, Berkeley
Berkeley, United States
5 h-index
8 publications
412 citations
University of Pennsylvania
Philadelphia, United States
5 h-index
8 publications
557 citations
Harvard University
Cambridge, United States
5 h-index
9 publications
2.8K citations

University of Oslo
Oslo, Norway
4 h-index
4 publications
294 citations

National Bureau of Economic Research
Cambridge, United States
4 h-index
6 publications
1.7K citations
University of Wisconsin–Madison
Madison, United States
4 h-index
5 publications
499 citations
Duke University
Durham, United States
4 h-index
4 publications
114 citations
1–8 of 211
8 publications · 713 citations
8
h-index
Repository · 6 publications · 168 citations
6
h-index
5 publications · 341 citations
5
h-index
4 publications · 1.4K citations
4
h-index
4 publications · 254 citations
4
h-index
1–5