Functional forms for the negative binomial model for count data

DOI10.1016/j.econlet.2007.10.015zbMath1255.62010OpenAlexW2003474533MaRDI QIDQ1934819

Yanyan Li

Publication date: 29 January 2013

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

Full work available at URL: https://doi.org/10.1016/j.econlet.2007.10.015

zbMATH Keywords

heterogeneityPoisson regressionnegative binomialencompassing model

Mathematics Subject Classification ID

Related Items (10)

Reduced-rank vector generalized linear models with two linear predictors ⋮ The Assessment of Performance of Correlation Estimates in Discrete Bivariate Distributions Using Bootstrap Methodology ⋮ Bivariate zero-inflated negative binomial regression model with applications ⋮ The VGAM package for negative binomial regression ⋮ A statistical model for under- or overdispersed clustered and longitudinal count data ⋮ Functional Form for the Generalized Poisson Regression Model ⋮ Joint models for longitudinal counts and left-truncated time-to event data with applications to health insurance ⋮ Functional Form for the Zero-Inflated Generalized Poisson Regression Model ⋮ Right-censored mixed Poisson count models with detection times ⋮ Multiple inflated negative binomial regression for correlated multivariate count data

Uses Software

• LIMDEP

Cites Work

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• Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
• A new approach for modeling economic count data
• Pseudo Maximum Likelihood Methods: Applications to Poisson Models
• Simulated maximum likelihood estimation of multivariate mixed‐Poisson regression models, with application
• Negative Binomial Regression
• Microeconometrics

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