The analysis of complex networks has recently received considerable attention. The work by Albert and Barabási presented a research challenge to network analysis, that is, growth of the network. The present paper offers a network analysis of the spatial commuting network in Germany. First, we...

<i> The development of Regional employment in Germany: Results from Neural Network Experiments </i> (by Roberto Patuelli, Aura Reggiani, Peter Nijkamp) - ABSTRACT: This paper offers an overview of experimental results, based on neural networks (NNs) used to forecast regional employment variations in...

Front Matter -- Copyright -- Contents -- About the editors -- Contributors -- Preface -- 1. Reflections on entropy, complexity and spatial dynamics: the rebirth of theory? -- PART A ENTROPY, SPACE AND COMPLEXITY -- 2. Entropy in urban and regional modelling -- 3. Recent applications of entropy...

This article analyzes artificial neural networks (ANNs) as a method to compute employment forecasts at a regional level. The empirical application is based on employment data collected for 327West German regionsover a periodof fourteenyears. First, the authors compare ANNs to models commonly...

Because of heterogeneity across regions, economic policy measures are increasingly targeted at the regional level and, therefore, require regional forecasts. The data available to compute regional forecasts are usually a pseudo panel of a limited number of observations over time and a large...

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...