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...

This study represents a first attempt to empirically analyze the role of firm heterogeneity in regional business cycle behaviour. Working with monthly Italy’s firms data and estimating a random effects ordered probit model, we first document sizable asymmetries in Northern and Southern...

In this work we analyze the spatial distribution of manufacturing industries in Italy using data on the number of employees in the local units localized in the Local labour Systems, as revealed by the decennial censuses from 1971 to 2001. We use the Exploratory Spatial Data Analysis, which...

This paper employs recently developed non stationary panel methodologies that assume some cross-section dependence to estimate the production function for Italian regions in the industrial sector over the period 1970-1998. The analysis consists in three steps. First, unit root tests for...

With the introduction of information and communication technology, a brisker pace in market integration and the adoption of a fixed exchange rate, some changes seem to have occurred in the determinants of Italian industrial districts firms' competitive advantages. In this paper we use the...