EconPapers    
Economics at your fingertips  
 

Forecasting regional labour markets in Germany: an evaluation of the performance of neural network analysis

Simonetta Longhi, Peter Nijkamp, Aura Reggiani () and Uwe Blien ()

ERSA conference papers from European Regional Science Association

Abstract: The aim of the present paper is to forecast regional employment developments in the 327 West-German districts. Using a Neural Networks (NNs) methodology we try to identify the existence of underlying structural relationships between the input variables - data on regional and sectoral employment and wages - and the future development of employment at a district level. In order to offer reliable forecasts for the years 2000 and 2001, a variety of NN models has been developed and compared. The emerging results confirm the ability of NNs in capturing the complex data structures - in the training and test phases - and hence in 'extrapolating' useful information in a multi-regional context. Concerning the forecasting phases, our analysis highlights the necessity of carrying out further research experiments - by introducing additional economic background variables - in order to get more insight into the mechanism and structure of spatio-temporal employment data.

Date: 2002-08
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www-sre.wu.ac.at/ersa/ersaconfs/ersa02/cd-rom/papers/117.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wiw:wiwrsa:ersa02p117

Access Statistics for this paper

More papers in ERSA conference papers from European Regional Science Association Welthandelsplatz 1, 1020 Vienna, Austria.
Bibliographic data for series maintained by Gunther Maier ().

 
Page updated 2025-03-22
Handle: RePEc:wiw:wiwrsa:ersa02p117