This book aims to offer refreshing contributions to the analysis of spatial and dynamic systems, with a particular view on bottlenecks in the space-economy. The intermediate development field between potential and bottleneck may be approached from different angles and may be covering different...

There is a growing interest in the academic and policy making communities in understanding the effects of sectoral specialisation on labour market performance. The existing empirical evidence, mainly based on US data, generally finds a positive correlation between sectoral specialisation and...

Since 1990, there has been extensive international research on the responsiveness of wages of individuals to changing local labour market conditions. For many countries, an inverse relationship between wages and local unemployment rates has been found. In their book, The Wage Curve, Blanchflower...

Because of heterogeneity across regions, economic policy measures are increasingly targeted at the regional level. As a result, the need for economic forecasts at a sub-national level is rapidly increasing. The data available to compute regional forecasts is usually based on a pseudo-panel that...

Many networks such as the Internet have been found to possess scale-free and small-world network properties reflected by so-called power law distributions. Scale-free properties evolve in large complex networks through self-organizing processes and more specifically, preferential attachment. New...

The present paper investigates, for the case of Germany, the relevance of the volume and distribution of commuting flows, as well as of the commuting network’s connectivity and topology. We aim to assess how network topology and its changes over time affect the geographic commuting system and...

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...

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...