We propose a dynamic factor model for the analysis of multivariate time series count data. Our model allows for idiosyncratic as well as common serially correlated latent factors in order to account for potentially complex dynamic interdependence between series of counts. The model is estimated...

This work aims to identify the determinants of health care utilization in Portugal and to quantify their effects. A clear idea about this may help the policy debate on the delivery and organization of health services. Toward this end, we developed an approach based on count data models. We found...

This study examines the factors that impact the dividend payout ratio of Turkish firms that are listed in Borsa Istanbul-100 Index for the period 2005-2013. Random-effect Tobit panel regression is used in order to investigate the determinants of dividend policy. According to the empirical...