Overidentification Tests
Overidentification Tests is a statistical procedure used in instrumental variables analysis to assess the validity of excluded instruments by testing whether the instruments are uncorrelated with the error term, under the condition that the model is overidentified.
58
Publications
3.6K
Citations
85
Authors
65
Institutions
Publications per year
2017–2026
15
Variants
Overidentifying Restrictions Tests
Parents
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65

University of Exeter
Exeter, United Kingdom
3 h-index
3 publications
181 citations
The University of Tokyo
Tokyo, Japan
3 h-index
3 publications
77 citations

University of Amsterdam
Amsterdam, The Netherlands
3 h-index
5 publications
96 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
3 publications
327 citations
Stanford University
Stanford, United States
3 h-index
3 publications
1.2K citations

National Bureau of Economic Research
Cambridge, United States
3 h-index
6 publications
2.3K citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
4 publications
78 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
3 publications
78 citations
1–8 of 65
9 publications · 261 citations
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Repository · 6 publications · 134 citations
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Repository · 5 publications · 151 citations
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5 publications · 127 citations
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3 publications · 240 citations
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