A bivariate zero-inflated count data regression model with unrestricted correlation
AbstractThis paper proposes a computationally simple bivariate zero-inflated count data regression model with an unrestricted correlation pattern. An application to data with excess of zeros on the demand for health services is given.
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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 100 (2008)
Issue (Month): 2 (August)
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Web page: http://www.elsevier.com/locate/ecolet
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- Murat K. Munkin & Pravin K. Trivedi, 1999. "Simulated maximum likelihood estimation of multivariate mixed-Poisson regression models, with application," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 29-48.
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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.
- repec:ebl:ecbull:v:3:y:2007:i:11:p:1-10 is not listed on IDEAS
- Sarah Brown & Alan S Duncan & Mark N Harris & Jennifer Roberts & Karl Taylor, 2014. "A Zero Inflated Regression Model for Grouped Data," Bankwest Curtin Economics Centre Working Paper series WP1401, Bankwest Curtin Economics Centre (BCEC), Curtin Business School.
- Miravete, Eugenio J, 2009. "Multivariate Sarmanov Count Data Models," CEPR Discussion Papers 7463, C.E.P.R. Discussion Papers.
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