Browse > Article
http://dx.doi.org/10.7465/jkdi.2013.24.4.895

A simple zero inflated bivariate negative binomial regression model with different dispersion parameters  

Kim, Dongseok (Department of Mathematics, Kyonggi University)
Publication Information
Journal of the Korean Data and Information Science Society / v.24, no.4, 2013 , pp. 895-900 More about this Journal
Abstract
In this research, we propose a simple bivariate zero inflated negative binomial regression model with different dispersion for bivariate count data with excess zeros. An application to the demand for health services shows that the proposed model is better than existing models in terms of log-likelihood and AIC.
Keywords
Bivariate negative binomial; correlation; dispersion; zero inflation;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Cameron, A. C., Trivedi, P. K., Milne, F. and Piggott, J. (1988). A microeconometric model of the demand for health care and health insurance in Astralia. Review of Economic Studies, 55, 85-106.   DOI   ScienceOn
2 Choi, J. (2008). A marginal logit mixed-effects model for repeated binary response data. Journal of Korean Data & Information Science Society, 19, 413-420.
3 Cox, D. R. (1983). Some remarks on overdispersion. Biometrika 70, 269-274.   DOI   ScienceOn
4 Davidson, R. and MacKinnon, J.G. (1993). Estimation and inference in econometrics, Oxford University Press, New York.
5 Gurmu, S. and Elder, J. (2000). Generalized bivariate count data regression models. Economics Letters, 68, 31-36.   DOI   ScienceOn
6 Hong, C. S. and Jung, M. H. (2011). Undecided inference using bivariate probit models. Journal of Korean Data & Information Science Society, 22, 1017-1028.
7 Kim, K. M. (1999). Inferences for the changepoint in bivariate zero-inflated Poisson model. Journal of Korean Data & Information Science Society, 10, 319-327.
8 Kim, K. M. (2003). An application to multivariate zero-in flated Poisson regression model. Journal of Korean Data & Information Science Society, 14, 177-186.
9 Kim, K. M. (2004). Tests for the change-point in the zero-in flated Poisson distribution. Journal of Korean Data & Information Science Society, 15, 387-394.
10 Kim, K. M., Lee, S. H. and Kim, J. T. (1998). Moments of the bivariate zero-in flated Poisson distributions. Journal of Korean Data & Information Science Society, 9, 47-56.
11 Li, C. S., Lu, J. C., Park, J., Kim, K. and Brinkley, P. A. and Peterson, J. (1999). Multivariate zero-in flated Poisson models and their applications. Technometrics, 41, 29-38.   DOI   ScienceOn
12 Walhin, J. F. (2001). Bivariate ZIP models. Biometrical Journal, 43, 147-160.   DOI   ScienceOn
13 Wang, K., Lee, A. H., Yau, K. and Carivick, P. (2003). A bivariate zero-in flated Poisson regression model to analyze occupational injuries. Accident Analysis and Prevention, 35, 625-629.   DOI   ScienceOn
14 Wang, P. (2003). A bivariate zero-in flated negative binomial regression model for count data with excess zeros. Economics Letters, 78, 373-378.   DOI   ScienceOn