The aim of this paper is to assess the role played by creativity and other components of human capital on the process of economic growth for 257 regions in the 27 member countries of the European Union. We first decompose the regional human capital endowment to distinguish between the...

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...

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...

It is quite common in convergence analyses across regions that data exhibit strong spatial dependence. While the literature adopting the regression approach is now fully aware that neglecting this feature may lead to inaccurate results and has therefore suggested a number of statistical tools...

New macro empirical evidence is provided to assess the relative importance of object and idea gaps in explaining the world income distribution dynamics over a benchmark period 1960-1985. Results are then extended through 1995. Formal statistical hypothesis tests allow us to discriminate between...

Applied econometrics has recently emphasized the identification of causal parameters for policy analysis. This revolution has yet to fully propagate to the field of regional science. We examine the scope for application of the matching approach – part of the modern applied econometrics toolkit...

The paper examines the relation between industrial mix and regional productivity growth. For this purpose, a dynamic model of the open economy with differentiated sectoral knowledge formation and incomplete interregional knowledge diffusion is constructed. The theoretical framework is first used...

We suggest a new class of cross-sectional space-time models based on local AR models and nearest neighbors using distances between observations. For the estimation we use a tightness prior for prediction of regional GDP forecasts. We extend the model to the model with exogenous variable model...