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...

<title>Abstract</title> This paper offers a concise critical overview of Okun's Law, with particular attention for its relevance in open economic systems of regions. Based on an extensive set of economic data for Finnish regions, the existence of cointegration is tested using alternative statistical methods,...

<title>Abstract</title> This special issue of <italic>Spatial Economic Analysis</italic>, on ‘Modelling Regional Dynamics’, contains an interesting set of novel contributions put together by guest co-editors Peter Mulder, Peter Nijkamp & Roger Stough, who have also summarized and commented on the papers below. The papers...

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

<title>Abstract</title> The migration issue is a much debated subject in many developed countries. This study provides a review of the relationship between migrants and their international economic linkages. It then focuses on foreign direct investment (FDI), for both inward and outward FDI. This study aims to...

Abstract Data envelopment analysis (DEA) has become an established benchmark tool in efficiency strategies in both the public and the private sectors. The aim of this paper is to present and apply a newly developed, emerging from a blend of a Distance Friction Minimization (DFM) and a Goals...