Modeling underdispersed count data with generalized Poisson regression

We present motivation and new Stata commands for modeling count data. While the focus of this article is on modeling data with underdispersion, the new command for fitting generalized Poisson regression models is also suitable as an alternative to negative binomial regression for overdispersed data.


Issue Date:
2012
Publication Type:
Journal Article
DOI and Other Identifiers:
st0279 (Other)
PURL Identifier:
http://purl.umn.edu/231786
Published in:
Stata Journal, Volume 12, Number 4
Page range:
736-747
Total Pages:
14

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 Record created 2017-04-01, last modified 2017-08-22

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