<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...

Demographic change is expected to affect labour markets in very different ways on a regional scale. The objective of this paper is to explore the spatio-temporal patterns of recent distributional changes in the workers age structure, innovation output and skill composition for German regions by...

Using a panel of 439 German regions we evaluate and compare the performance of various Neural Network (NN) models as forecasting tools for regional employment growth. Because of relevant differences in data availability between the former East and West Germany, NN models are computed separately...

Purpose – Theoretical and empirical research suggests a connection between the presence of role models and the emergence of entrepreneurs. Existing entrepreneurs may act as role models for self-employment candidates by providing successful examples. The purpose of this paper is to show that...

In this paper we offer a meta-analysis approach to (simulation) studies on environmental tax reform (ETR). The underlying studies look both at environmental effects (e.g. reduction in CO2 emission) and economic effects (e.g. change in gross domestic product) following such a tax reform. The...

In this paper, a set of neural network (NN) models is developed to compute short-term forecasts of regional employment patterns in Germany. NNs are modern statistical tools based on learning algorithms that are able to process large amounts of data. NNs are enjoying increasing interest in...

This discussion paper led to an article in <I>Geographical Analysis</I> (2012). Volume 44, issue 1, pages 29-46.<P> (Spatial) panel data are routinely modelled in discrete time (DT). However, there are compelling arguments for continuous time (CT) modelling of (spatial) panel data. Particularly, most...</p></i>

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...

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Self-financing has often been seen as an important source for research-and-development (R&D) funding. However, an in-depth comparison between the determinants of self-financing in the case of traditional investments versus those in R&D has not been provided yet. We use a comprehensive data set...