The standard growth model predicts that allowing labour mobility across regions would increase the speed of convergence in per capita income levels and that migration has a negative causal impact on regional growth rates. Although the empirical literature has uncovered some evidence for the...

The aim of this paper is to detect mimicking behaviour in the tax setting of local governments which share similar political ideology. We conduct an empirical investigation of municipalities' cross-sectional data of the Marche region using spatial econometrics models. Discriminating between...

Regional inequality is severe in China since regional development is uneven due to various initial conditions and government policies. We employ unit root tests allowing for structural breaks to alternative inequality measures from 1952 to 2000. Empirical results indicate that (1) the regional...

This paper uses a balanced dataset extracted from the European Community Household Panel data survey for 94 regions over the period 1995-2000 to examine the relationship between income and educational inequalities in the regions of the European Union. It highlights the importance of geography...

Data forming a short space-time series - too short to utilize a STARIMA model - can include a random effects term that is spatially structured in order to account for both serial and spatial autocorrelation. In this context, space-time heterogeneity can be accounted for in various ways,...

This article proposes a simple model of economic geography by which to derive analytical results when jointly considering two centrifugal forces - congestion costs together with the pull demand effect - within the Dixit-Stiglitz-Iceberg framework. In this vein, we develop a unified model with...

This paper evaluates the impact of structural funds on the convergence process between 145 European regions over 1989-1999. The presence of spillover effects is investigated with spatial econometric methods, which assess the impact of the funds on the targeted region and its neighbours. We also...

This paper discusses estimation methods for models including an endogenous spatial lag, additional endogenous variables due to system feedback and an autoregressive or a moving average error process. It extends Kelejian and Prucha's, and Fingleton and Le Gallo's feasible generalized spatial...