The aim of this paper is to forecast regional employment patterns in West German regions. After a brief exposition of key labour market issues, Artificial Neural Network (ANN) techniques are proposed as a new tool to generate reliable short term employment forecasts at a regional level. A variety of ANN models are developed and compared. Comparison with methods commonly applied to panel data, such as GMM (Generalised Method of Moments), confirms the ability of ANNs to capture complex data structures in a multi-regional context.
Development in Regional Labour Market in Germany: a Comparative Analysis of the Forecasting Performance of Competing Statistical Models / S. Longhi; P. Nijkamp; A.Reggiani; U. Blien. - In: AUSTRALASIAN JOURNAL OF REGIONAL STUDIES. - STAMPA. - 11(2):(2005), pp. 175-196.
Development in Regional Labour Market in Germany: a Comparative Analysis of the Forecasting Performance of Competing Statistical Models
REGGIANI, AURA;
2005
Abstract
The aim of this paper is to forecast regional employment patterns in West German regions. After a brief exposition of key labour market issues, Artificial Neural Network (ANN) techniques are proposed as a new tool to generate reliable short term employment forecasts at a regional level. A variety of ANN models are developed and compared. Comparison with methods commonly applied to panel data, such as GMM (Generalised Method of Moments), confirms the ability of ANNs to capture complex data structures in a multi-regional context.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
