This paper introduces a new multivariate model for time series count data. The Multivariate Autoregressive Conditional …

nested random effects count data hurdle model is introduced to handle the excess number of zero observations in the sample as …

individual entry decisions yields a discrete outcome, the econometric methodology is based on panel count data models, rendering …

estimation of a count data model. We obtain that the length of the stay and the information obtained from previous visits and …

Since the early 1990s, researchers have routinely used count data models (such as the Poisson and negative binomial) to … estimate the demand for recreational activities. Along with the success and popularity of count data models in recreational … demand analysis during the last decade, a number of shortcomings of standard count data models became obvious to researchers …

and a dynamic count data component for the size of the price changes. Since the model is capable of capturing a wide range …

neighbourhoods. Last, we extend the approach to a multivariate longitudinal count data model using a Gaussian copula estimated by …