Regions, independent of their geographic level of aggregation, are known to be interrelated partly due to their relative locations. Similar economic performance among regions can be attributed to proximity. Consequently, a proper understanding, and accounting, of spatial liaisons is needed in...

In this paper, we present a review of various computational experiments concerning neural network (NN) models developed for regional employment forecasting. NNs are nowadays widely used in several fields because of their flexible specification structure. A series of NN experiments is presented...

Nanomaterials are seen as a key technology for the 21st Century, and much is expected of them in terms of innovation and economic growth. They could open the way to many radically new applications, which would form the basis of innovative products. As nanomaterials are still in their infancy,...

This paper develops a flexible multi-dimensional assessment method for the comparison of different statistical-econometric techniques based on learning mechanisms, with a view to analysing and forecasting regional labour markets. The aim of this paper is twofold. A first major objective is to...

This article empirically assesses the evolution of European regions in terms of both employment and unemployment during the recent financial crisis and global recession. Our specific research questions are as follows: (i) has there been a reversal in employment and unemployment dynamics at a...

Immigrant self-employment rates vary considerably across regions in Switzerland. Business ownership seems to provide an alternative to wage labour, where immigrants have to face structural barriers such as the limited knowledge of the local language, or difficulties in fruitfully making use of...

(Spatial) panel data are routinely modeled in discrete time (DT). However, compelling arguments exist for continuous time (CT) modeling of (spatial) panel data. Particularly, most social processes evolve in CT, so that statistical analysis in DT is an oversimplification, gives an incomplete...

In this paper, we show that the regional finance-growth nexus in Italy is robust to a series of innovations with respect to the existing literature on the topic. We use finer measures of economic and financial development, as well as instruments with a deeper economic content. We rely on...

In this paper, we present a review of various computational experiments – and consequent results – concerning Neural Network (NN) models developed for regional employment forecasting. NNs are widely used in several fields because of their flexible specification structure. Their utilization...