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Shiferaw Gurmu and John Elder
 
''A simple bivariate count data regression model''
( 2007, Vol. 3 No.11 )
 
 
This paper develops a simple bivariate count data regression model in which dependence between count variables is introduced by means of stochastically related unobserved heterogeneity components. Unlike existing commonly used bivariate models, we obtain a computationally simple closed form of the model with an unrestricted correlation pattern.
 
 
Keywords:
 
Manuscript Received : Feb 19 2007 Manuscript Accepted : Apr 01 2007

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