Fixed Effects Count Models
Fixed Effects Count Models is a class of panel data regression models designed for count outcomes that control for unobserved time-invariant heterogeneity by incorporating individual-specific fixed effects within a conditional maximum likelihood framework.
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2K
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81
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57
Institutions
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2017–2026
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University of Central Florida
Orlando, United States
4 h-index
4 publications
249 citations
Institute for Fiscal Studies
London, United Kingdom
3 h-index
3 publications
397 citations

University of Manchester
Manchester, United Kingdom
2 h-index
3 publications
91 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
10 publications
878 citations
Instituto Politécnico de Lisboa
Lisbon, Portugal
2 h-index
2 publications
313 citations
UCLouvain
Louvain-la-Neuve, Belgium
2 h-index
4 publications
138 citations

Norwegian Computing Center
Oslo, Norway
1 h-index
1 publications
10 citations
Nanhua University
Chiayi City, Taiwan
1 h-index
1 publications
21 citations
1–8 of 57
2 publications · 130 citations
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2 publications · 71 citations
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2 publications · 69 citations
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2 publications · 313 citations
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Repository · 2 publications · 121 citations
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