We propose a semi-parametric spatial auto-covariance specification of the growth model to examine the growth behaviour of European regions in the period 1988-2000. This specification simultaneously takes account of the problems of non-linearities and spatial dependence. We obtain two main...

Using local labour systems data, this work aims at assessing the effects of sectoral shifts and industry specialisation patterns on regional unemployment in Italy over the years 2004-2008, when huge worker reallocation caused by changes in the international division of labour occurred. Italy...

Using Local Labour Systems (LLSs) data, this work aims at assessing the effects of sectoral shifts and industry specialization patterns on regional unemployment in Italy over the years 2004-2008, when huge worker reallocation caused by changes in the international division of labour occurred....

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...

Using data for the European regions at NUTS-2 level, we test the predictions of a microfounded Schumpeterian growth model with technological interdependence recently developed by Ertur and Koch (2011, EK11). Spatial interdependence is identified by means ofa semiparametric geoadditive spatial...

Using Local Labor Systems (LLSs) data, we assess the effect of the local productive structure on the employment growth in Italy during the period 1981-2008. Italy represents an interesting case study because of the high degree of spatial heterogeneity in local labor market performances and of...

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...

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...

Do differently oriented political parties implement radically divergent policies which impact the citizens’s welfare? The overheated political debate notwithstanding, it is far from clear if this is really the case. Whereas current literature on this issue narrows the focus on specific policy...

Economic theory emphasizes that risk sharing makes it possible to exploit benefits from comparative advantages and economies of scale. Unlike previous studies we reject the assumption of parameter homogeneity across geographical units in measuring risk sharing. The estimated regional-specific...