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Likelihood-Based Inference and Prediction in Spatio-Temporal Panel Count Mode...
We develop a panel count model with a latent spatio-temporal heterogeneous state process for monthly severe crimes at the census-tract level in Pittsburgh, Pennsylvania. Our... -
Modelling Hospital Admission and Length of Stay by Means of Generalised Count...
For a large heterogeneous group of patients, we analyse probabilities of hospital admission and distributional properties of lengths of hospital stay conditional on individual... -
A New Utility-Consistent Econometric Approach to Multivariate Count Data Mode...
In the current paper, we propose a new utility-consistent modeling framework to explicitly link a count data model with an event-type multinomial-choice model. The proposed... -
A bivariate count data model for household tourism demand (replication data)
Households' choice of the number of leisure trips and the total number of overnight stays is empirically studied using Swedish tourism data. A bivariate hurdle approach...
