Knowledge and technological change are often assumed to be the driving forces for long run economic growth. Regions with a higher level of knowledge compared to other regions exhibit a higher per-capita income on average. Agglomeration effects can lead to a steady increase of income and widen...

The new growth theory considers knowledge to be a decisive engine of economic growth. More precisely, knowledge is not used solely to the benefit of its originator, but generates positive side effects also for others, provided they have the capability to understand the transferred knowledge...

Understanding the way in which knowledge is technically produced and transferred, and how its diffusion path can be characterized is of fundamental importance for the performance of an economy. Although this fact seems to be plausible ex ante, the relevant literature so far has paid less...

The aim of this paper is to introduce a new model selection mechanism for cross sectional spatial models. This method is more fexible than the approach proposed by Florax et al. (2003) since it controls for spatial dependence as well as for spatial heterogeneity. In particular, Bayesian and...

The aim of this paper is to introduce a new model selection mechanism for cross sectional spatial models. This method is more flexible than the approach proposed by Florax et al. (2003) since it controls for spatial dependence as well as for spatial heterogeneity. In particular, Bayesian and...

Understanding the way in which knowledge is technically produced and transferred, and how its diffusion path can be characterized is of fundamental importance for the performance of an economy. Although this fact seems to be plausible ex ante, the relevant literature so far has paid less...

A large and still growing body of literature suggests that entrepreneurship is of exceptional importance in explaining regional specific efficiencies of knowledge spillovers. Although quantifying the impact of entrepreneurial activity for economic growth is an interesting issue -- particularly...