Count Data Models
Count Data Models is a class of regression models in econometrics that specifically analyze non-negative integer-valued dependent variables by accounting for the discrete nature and potential overdispersion or excess zeros in count outcomes.
2.2K
Publications
211.4K
Citations
3.7K
Authors
1.5K
Institutions
Publications per year
2017–2026
553
2.2K
1–5 of 2.2K
3.7K
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1.5K
Texas A&M University
College Station, United States
21 h-index
49 publications
8.4K citations

City University of Hong Kong
Hong Kong, Hong Kong
18 h-index
34 publications
2.1K citations
University of South Carolina
Columbia, United States
18 h-index
39 publications
1.8K citations
University of Missouri
Columbia, United States
18 h-index
31 publications
1.3K citations
Jilin University
Changchun, China
18 h-index
61 publications
1.6K citations
The University of Texas at Austin
Austin, United States
17 h-index
34 publications
3.4K citations

UNSW Sydney
Sydney, Australia
17 h-index
27 publications
4.7K citations

University of Georgia
Athens, United States
17 h-index
26 publications
3.3K citations
1–8 of 1.5K
65 publications · 14.3K citations
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61 publications · 6.2K citations
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CSDA · 50 publications · 2.7K citations
31
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54 publications · 4.5K citations
27
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24 publications · 4.1K citations
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