A bivariate zero-inflated negative binomial regression model for count data with excess zeros

DOI10.1016/S0165-1765(02)00262-8zbMath1255.62211OpenAlexW2069442814MaRDI QIDQ1925976

Peiming Wang

Publication date: 27 December 2012

Published in: Economics Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0165-1765(02)00262-8

zbMATH Keywords

correlationEM algorithmoverdispersionbivariate negative binomial distributioncount data with excess zeros

Mathematics Subject Classification ID

Related Items (10)

Improved shrinkage estimators in zero-inflated negative binomial regression model ⋮ A finite mixture of bivariate Poisson regression models with an application to insurance ratemaking ⋮ Using shrinkage strategies to estimate fixed effects in zero-inflated negative binomial mixed model ⋮ Bivariate zero-inflated negative binomial regression model with applications ⋮ Bivariate Mixed Poisson Regression Models with Varying Dispersion ⋮ A bivariate Sarmanov regression model for count data with generalised Poisson marginals ⋮ Multivariate models for correlated count data ⋮ Analysis of multinomial counts with joint zero-inflation, with an application to health economics ⋮ Tests for independence in a bivariate negative binomial model ⋮ Modelling bivariate count series with excess zeros

Cites Work

• Unnamed Item
• Unnamed Item
• Dealing with the common econometric problems of count data with excess zeros, endogenous treatment effects, and attrition bias
• Generalized bivariate count data regression models

This page was built for publication: A bivariate zero-inflated negative binomial regression model for count data with excess zeros