Abstract In this paper, we adapt multilevel analysis methods to investigate the spatial variability of SMEs' productivity across the Italian territory, and account for differences in the socio-economic context. Our results suggest that to properly capture the variability of the data, it is...

Abstract An important infrastructure policy issue for rapidly growing cities in developing countries is how to raise fiscal revenues to finance basic services in a fair and efficient manner. This requires estimates of the potential benefits or positive welfare effects that may follow from...

Abstract Using a GMM estimator for a spatial panel model with an endogenous spatial lag and spatial moving average errors we investigate the spatial structure of the financial system in Brazil. The results point to a negative spatial association between the Brazilian municipalities' financial...

Abstract The number of regions and sectors in most regional CGE models is small, due to data and computing limitations. The uses of such models will broaden if they have larger CGE databases. The TERM model combines a massive database with a variable aggregation facility and techniques to...

Abstract Spatial microsimulation models typically match census of population data with survey data in order to simulate synthetic populations of individuals and households within small-scale geographic areas. For most spatial microsimulation applications this level of spatial precision is...

Abstract This paper examines 60 years of regional income inequality dynamics across the states of Mexico. Drawing on recent developments in exploratory spatial data analysis (ESDA) we examine the role of spatial clustering and heterogeneity in the evolution of regional inequality. We pay...

Abstract Two aspects of New Economic Geography models are often singled out for criticism, especially by geographers: the treatment of geography, typically as a pre-given, fixed and highly idealized abstract geometric space; and the treatment of history, typically as ‘logical’ time (the...