Regression-based tests for overdispersion in the Poisson model
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An overdispersion test in a Poisson model found strong evidence of overdispersion (a = 1,074.95, p < 0.001).
“We further conducted an overdispersion test (Cameron and Trivedi 1990) in a Poisson model and found strong evidence of overdispersion (a ¼ 1,074.95,p < 0.001).”
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“We further conducted an overdispersion test (Cameron and Trivedi 1990) in a Poisson model and found strong evidence of overdispersion (a¼ 1,074.95, p 0.001).”
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- Authors
- Cameron, A. C., & Trivedi, P. K.
- Affiliations
- University of California, Davis (US)
- Indiana University Bloomington (US)
- ORCID
- Trivedi, Pravin K.
- Venue
- Journal of Econometrics
- Publisher
- Elsevier BV
- Published
- 1990-12
- Volume
- 46
- Issue
- 3
- Pages
- 347-364
- ISSN
- 0304-4076 (ISSN-L)
- OpenAlex
- W1972707698
- Cited by
- 1,192
- References
- 1
- Citations by year
- 2026: 57 · 2025: 58 · 2024: 61 · 2023: 64 · 2022: 57 · 2021: 79 · 2020: 83 · 2019: 60 · 2018: 69 · 2017: 47 · 2016: 41 · 2015: 25 · 2014: 30 · 2013: 22 · 2012: 28
- FWCI
- 4.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Econometrics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Keywords
- overdispersion, Poisson regression, mean-variance relationship, regression-based tests, score test, optimal tests, conditional heteroskedasticity
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