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...

This study analyses the impact of economic catching-up on annual inflation rates in the European Union with a special focus on the new member countries of Central and Eastern Europe. Using an array of estimation methods, we show that the Balassa-Samuelson effect is not an important driver of...

In his 1966 Inaugural Lecture at Cambridge, entitled On the Causes of the Slow Rate of Economic Growth in the UK, the Hungarian-born British economist, Nicholas Kaldor presented a series of "laws" to account for the growth rate differences between Britain on the one hand, and the more successful...

The Spanish crisis is generally portrayed as resulting from excessive spending by households, associated with a housing bubble and/or excessive welfare spending beyond the economic possibilities of the country. We put forward a different hypothesis. We argue that the Spanish crisis resulted, in...

Structural funds are the most intensively used policy instrument by the EuropeanUnion to promote economic growth in its member states and to speed up the process ofconvergence. This paper empirically explores the effectiveness of European Structural Fundsby means of a panel data analysis for 13...

There are evidences that the actual global crisis affected the convergence process in EU. Generally, just new adhered countries were more affected by the actual crisis. Today all forecasts are suffering by uncertainty. Last time, economists, with their methods and models, are invoked for actual...

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...

In this paper we put forward a Bayesian Model Averaging method dealing with model uncertainty in the presence of potential spatial autocorrelation. The method uses spatial filtering in order to account for different types of spatial links. We contribute to existing methods that handle spatial...