Dynamic Count Models
Dynamic Count Models is a class of statistical models for count data that incorporate temporal dependence by allowing the current count outcome to depend on past observations or latent states, thereby extending static count models through the inclusion of dynamic components.
32
Publications
4K
Citations
82
Authors
53
Institutions
Publications per year
2017–2026
5
Variants
Dynamic Count Data Models
Parents
32
Individual effects and dynamics in count data models
Richard Blundell, Rachel Griffith, Frank Windmeijer · Journal of Econometrics · 2002 · 528 citations · Full text
Business, Biostatistics, Mathematics +14
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Korea Advanced Institute of Science and Technology, South Korea
2 publications · 62 citations
2
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2
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1–5 of 82
53
Institute for Fiscal Studies
London, United Kingdom
3 h-index
9 publications
8.2K citations
University College London
London, United Kingdom
3 h-index
6 publications
5.5K citations

Centre for European Economic Research
Mannheim, Germany
2 h-index
4 publications
100 citations
The University of Texas at Austin
Austin, United States
2 h-index
4 publications
90 citations
Ministry of Agriculture and Rural Affairs
Beijing, China
1 h-index
1 publications
49 citations

Télécom Paris
Palaiseau, France
1 h-index
1 publications
26 citations
University of Applied Sciences Mainz
Mainz, Germany
1 h-index
1 publications
72 citations
UK Centre for Ecology & Hydrology
Wallingford, United Kingdom
1 h-index
2 publications
52 citations
1–8 of 53
Repository · 2 publications · 39 citations
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2 publications · 845 citations
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Repository · 1 publications · 68 citations
1
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1 publications · 541 citations
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1 publications · 66 citations
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