Forecasting Regional Employment in Germany by Means of Neural Networks and Genetic Algorithms
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- Roberto Patuelli & Simonetta Longhi & Aura Reggiani & Peter Nijkamp, 2008. "Neural networks and genetic algorithms as forecasting tools: a case study on German regions," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 35(4), pages 701-722, July.
References listed on IDEAS
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CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Roberto Patuelli & Aura Reggiani & Peter Nijkamp & Norbert Schanne, 2011.
"Neural networks for regional employment forecasts: are the parameters relevant?,"
Journal of Geographical Systems,
Springer, vol. 13(1), pages 67-85, March.
- Patuelli, R. & Reggiani, A. & Nijkamp, P. & Schanne, N., 2009. "Neural networks for cross-sectional employment forecasts: a comparison of model specifications for germany," Serie Research Memoranda 0014, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
- Roberto Patuelli & Aura Reggiani & Peter Nijkamp & Norbert Schanne, 2009. "Neural Networks for Regional Employment Forecasts: Are the Parameters Relevant?," Working Paper series 07_09, Rimini Centre for Economic Analysis, revised Feb 2010.
- Roberto Patuelli & Aura Reggiani & Peter Nijkamp & Norbert Schanne, 2009. "Neural Networks for Cross-Sectional Employment Forecasts: A Comparison of Model Specifications for Germany," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 0903, USI Università della Svizzera italiana.
- MatÃas Mayor & Roberto Patuelli, 2012.
"Short-Run Regional Forecasts: Spatial Models through Varying Cross-Sectional and Temporal Dimensions,"
Working Paper series
15_12, Rimini Centre for Economic Analysis, revised Oct 2012.
- M. Mayor-Fernández & R. Patuelli, 2012. "Short-Run Regional Forecasts: Spatial Models through Varying Cross-Sectional and Temporal Dimensions," Working Papers wp835, Dipartimento Scienze Economiche, Universita' di Bologna.
- Robert Lehmann & Klaus Wohlrabe, 2014.
"Regional economic forecasting: state-of-the-art methodology and future challenges,"
Economics and Business Letters,
Oviedo University Press, vol. 3(4), pages 218-231.
- Robert Lehmann & Klaus Wohlrabe, 2014. "Regional Economic Forecasting: State-of-the-Art Methodology and Future Challenge," CESifo Working Paper Series 5145, CESifo Group Munich.
- repec:dgr:vuarem:2009-14 is not listed on IDEAS
More about this item
Keywordsforecasting; neural networks; regional labour markets;
- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2005-11-12 (All new papers)
- NEP-FOR-2005-11-12 (Forecasting)
- NEP-GEO-2005-11-12 (Economic Geography)
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