2018RePEc: Research Papers in EconomicsRequires access

OVERDISP: Stata module to detect overdispersion in count-data models using Stata

Luíz Paulo Lopes Fávero, Patrícia Belfiore

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Abstract

overdisp provides a direct alternative to identify overdispersion in Stata, being a faster and an easier way to choose between Poisson and binomial negative estimations in the presence of count-data. Thus, overdisp can be implementd without the necessity of previously estimating Poisson or binomial negative models.

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What this paper is about

overdisp provides a direct alternative to identify overdispersion in Stata, being a faster and an easier way to choose between Poisson and binomial negative estimations in the presence of count-data. Thus, overdisp can be implementd without the necessity of previously estimating Poisson or binomial negative models.

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Available abstract

overdisp provides a direct alternative to identify overdispersion in Stata, being a faster and an easier way to choose between Poisson and binomial negative estimations in the presence of count-data. Thus, overdisp can be implementd without the necessity of previously estimating Poisson or binomial negative models.

Key concepts: Overdispersion, Count data, Quasi-likelihood, Negative binomial distribution, Poisson distribution, Statistics, Poisson regression, Binomial (polynomial)

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