Regression models for count data based on the negative binomial(p) distribution

James W. Hardin () and Joseph Hilbe
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James W. Hardin: University of South Carolina

Stata Journal, 2014, vol. 14, issue 2, 280-291

Abstract: TWe present new Stata commands for estimating several regression models suitable for analyzing overdispersed count outcomes. The nbregp command nests the dispersion(constant) and dispersion(mean) versions of Stata’s nbreg command in a model for negative binomial(p) regression. The zignbreg command extends Stata’s gnbreg command for zero inflation, and the zinbregp command fits a negative binomial(p) regression model with zero inflation. The new commands for zero-inflated models allow specification of links within the glm command’s collection for the Bernoulli model of zero inflation. These commands will optionally calculate a Vuong test, which compares the zero-inflated model with the nonzeroinflated model.

Keywords: nbregp; zignbreg; zinbregp; Vuong test; zero inflation (search for similar items in EconPapers)
Date: 2014
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