Modeling underdispersed count data with generalized Poisson regression

Tammy Harris (), Zhao Yang () and James W. Hardin ()
Additional contact information
Tammy Harris: University of South Carolina
Zhao Yang: Quintiles, Inc.
James W. Hardin: University of South Carolina

Stata Journal, 2012, vol. 12, issue 4, 736-747

Abstract: 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.

Keywords: gpoisson; Poisson; count data; overdispersion; underdispersion (search for similar items in EconPapers)
Date: 2012
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