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 build a model of price differentiation with firm heterogeneity, which allows for imperfect competition and market segmentation in the presence of flexible exchange rates as well as horizontal and vertical differentiation and different tastes of consumers in destination markets. We empirically...

In this paper we use spatial dependence panel data models to analyse regional growth behaviour in Italy. Controlling for fixed-effects allows us to disentangle the effect of spatial dependence (or spatial interaction) from that of spatial heterogeneity and of omitted variables and, thus, to...