Empirical Causation Testing is a scholarly methodological framework within causal inference that systematically employs observable data and statistical analysis to establish causal relationships by distinguishing genuine cause-effect dynamics from mere correlations.
105
Publications
9.7K
Citations
194
Authors
128
Institutions
Publications per year
2017–2026
14
Publications
105
From covariation to causation: A causal power theory.
Patricia W. Cheng · Psychological Review · 1997 · 1.2K citations
1–5 of 105
Authors
194
- PJ
3
h-index
- RC
3
h-index
- AHAbdulnasser Hatemi‐J
United Arab Emirates University, United Arab Emirates
3 publications · 110 citations
3
h-index
- JD
3
h-index
- YA
3
h-index
1–5 of 194
Institutions
128
Harvard University
Cambridge, United States
4 h-index
4 publications
232 citations
University of Chicago
Chicago, United States
4 h-index
4 publications
597 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
3 publications
687 citations
International Monetary Fund
Washington D.C., United States
3 h-index
8 publications
1.6K citations
Northwestern University
Evanston, United States
3 h-index
4 publications
650 citations
Beijing Institute of Technology
Beijing, China
2 h-index
3 publications
73 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
2 publications
259 citations
Griffith University
Brisbane, Australia
2 h-index
2 publications
361 citations
1–8 of 128
Venues
- Applied Economics
4 publications · 171 citations
4
h-index
- Energy Policy
2 publications · 441 citations
2
h-index
- SSRN Electronic Journal
Repository · 2 publications · 113 citations
2
h-index
- Journal of the American Statistical Association
2 publications · 430 citations
2
h-index
- Applied Financial Economics
2 publications · 128 citations
2
h-index
1–5