An alternative bivariate zero-inflated negative binomial regression model using a copula
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DOI: 10.1016/j.econlet.2011.07.017
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References listed on IDEAS
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- Wang, Peiming, 2003. "A bivariate zero-inflated negative binomial regression model for count data with excess zeros," Economics Letters, Elsevier, vol. 78(3), pages 373-378, March.
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"Modelling the differences in counted outcomes using bivariate copula models with application to mismeasured counts,"
Econometrics Journal,
Royal Economic Society, vol. 7(2), pages 566-584, December.
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Cited by:
- Bérengère Davin & Xavier Joutard & Alain Paraponaris, 2019.
""If You Were Me": Proxy Respondents' Biases in Population Health Surveys,"
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halshs-02036434, HAL.
- Bérengère Davin & Xavier Joutard & Alain Paraponaris, 2019. "“If You Were Me”: Proxy Respondents’ Biases in Population Health Surveys," AMSE Working Papers 1905, Aix-Marseille School of Economics, France.
- Bérengère Davin & Xavier Joutard & Alain Paraponaris, 2019. ""If You Were Me": Proxy Respondents' Biases in Population Health Surveys," SciencePo Working papers Main halshs-02036434, HAL.
- Mathews Joseph & Bhattacharya Sumangal & Sen Sumen & Das Ishapathik, 2022. "Multiple inflated negative binomial regression for correlated multivariate count data," Dependence Modeling, De Gruyter, vol. 10(1), pages 290-307, January.
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More about this item
Keywords
Bivariate negative binomial; Copula; Heterogeneous dispersion; Negative correlation; Zero inflation;All these keywords.
JEL classification:
- C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
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