We propose a geoadditive negative binomial model (Geo-NB-GAM) for regional count data which allows us to simultaneously address some important methodological issues, such as spatial clustering, nonlinearities and overdispersion. We apply this model to study location determinants of inward...

We propose a geoadditive negative binomial model (Geo-NB-GAM) for regional count data which allows us to simultaneously address some important methodological issues, such as spatial clustering, nonlinearities and overdispersion. We apply this model to study location determinants of inward...

We propose a semiparametric geoadditive negative binomial model of industrial location which allows to simultaneously address some important methodological issues, such as spatial clustering and nonlinearities, which have been only partly addressed in previous studies. We apply this model to...

This work tests the predictions of Sutton’s model of independent submarkets for the Italian retail banking industry. In the first part of this paper, I develop a model of endogenous mergers to evidence the relationship between firms’ conduct, market entry and market structure. In the second...

This paper investigates GCC countries' trade integration. The gravity equation is estimated using Panel Zero-Inflated Negative Binomial specification and COMTRADE aggregate and disaggregated flows. Results confirm GCC countries' integration deficit on exports side, while being integrated to some...