In this paper we suggest an alternative estimator and an alternative graphical analysis, both developed by Hyndman et al. (1996), to describe the law of motion of cross-sectional distributions of per-capita income and its components in Europe. This estimator has better properties than the kernel...

In this paper, we present an empirical study of per capita income convergence in Italy over the period 1951-2000 based on a fine level of aggregation (the NUTS-3 EU regions represented by the Italian provinces). Concerning the statistical methodology, we use both nonparametric and spatial...

In this paper we suggest an alternative estimator and an alternative graphical analysis, both developed by Hyndman et al. (1996), to describe the law of motion of cross-sectional distributions of per-capita income and its components in Europe. This estimator has better properties than the kernel...

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...

Testing regional convergence hypothesis involves important data issues. In empirical circumstances the problem arises of finding the best data to test the theory and the best estimators for the associated modelling. In the literature usually little attention is given to the level of spatial...

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...

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...

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...

The "option value of waiting" theory applied to interregional migration predicts that a potential migrant actually moves only when the wage differential between origin and destination places exceeds a certain threshold, which might be much higher than the Marshallian trigger. In this paper we...

We examine the determinants of multinational firms’ location choices in Europe by estimating a nested logit model on a data-set of 5,761 foreign subsidiaries established in 55 regions in 8 EU countries over the period 1991-1999. We find that firms perceive regions across different countries as...