We use Bayesian Model Averaging (BMA) to evaluate the robustness of determinants of economic growth in a new dataset of 255 European regions in the 1995-2005 period. We use three different specifications based on (1) the cross-section of regions, (2) the cross-section of regions with country...

We use Bayesian Model Averaging (BMA) to evaluate the robustness of determinants of economic growth in a new dataset of 255 European regions in the 1995-2005 period. We use three different specifications based on (1) the cross-section of regions, (2) the cross-section of regions with country...

The EU regions have been experiencing a period of unprecedented change. The ongoing (and parallel) processes of EU integration and enlargement have progressively transformed regional economies to integral parts of the emerging (European) socio-economic space, exposing them to the forces and the...

We analyze unconditional within-country convergence from 1991 to 2009 in 21 European countries. Unlike most previous studies we focus on the heterogeneity of convergence. We find that convergence processes in currency unions are extremely heterogenous, highly discontinuous and strongly...

The experiences of 259 regions in 21 European countries with within country GDP per capita and labour productivity growth suggest that variables associated with pro-active, growth oriented strategies are consistently more important predictors of successful regional development than variables...

We use Bayesian Model Averaging (BMA) to evaluate the robustness of determinants of economic growth in a new dataset of 255 European regions in the 1995-2005 period. We use three different specifications based on (1) the cross-section of regions, (2) the cross-section of regions with country...

We investigate the convergence process among EU regions between 1980-2002 taking into account the effects of spatial heterogeneity and spatial spillover effects. The spatial regimes model allows for different steady-state growth paths. In contrast to previous analyses, the regimes in this paper...

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...

In this study, we employ the pairwise stochastic convergence approach to identify the pairs of NUTS2 regions for all 28 EU Member States that exhibit co-movement in their growth dynamics, over the period 1980-2018. We then use the observed stochastic convergence trajectories to assess the role...