A Rank-order Analysis of Learning Models for Regional Labor Market Forecasting
Download full text from publisher
Other versions of this item:
- Patuelli, Roberto & Longhi, Simonetta & Reggiani, Aura & Nijkamp, Peter & Blien, Uwe, 2007. "A Rank-Order Test on the Statistical Performance of Neural Network Models for Regional Labor Market Forecasts," The Review of Regional Studies, Southern Regional Science Association, vol. 37(1), pages 64-81.
References listed on IDEAS
- Profit, Stefan & Tschernig, Rolf, 1998. "Germany's labor market problems: What to do and what not to do? A survey among experts," SFB 373 Discussion Papers 1998,94, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Antonino Scarelli & Lorenzo Venzi, 1997. "Nonparametric Statistics In Multicriteria Analysis," Theory and Decision, Springer, vol. 43(1), pages 89-105, July.
- Simonetta Longhi & Peter Nijkamp & Aura Reggianni & Erich Maierhofer, 2005. "Neural Network Modeling as a Tool for Forecasting Regional Employment Patterns," International Regional Science Review, , vol. 28(3), pages 330-346, July.
- Frees, Edward W., 1995. "Assessing cross-sectional correlation in panel data," Journal of Econometrics, Elsevier, vol. 69(2), pages 393-414, October.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Valerij Gamukin, 2017. "Structural Change of Gross Regional Product in the Subjects of Ural Federal District," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 410-421.
- 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.
- V. Gamukin V. & В. Гамукин В., 2018. "Управление структурой валового регионального продукта в субъектах Южного федерального округа // Managing the Gross Regional Product Structure in the Territorial Subjects of the Southern Federal Distri," Управленческие науки // Management Science, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 8(2), pages 18-29.
More about this item
Keywordsforecasts; regional employment; learning algorithms; rank order test;
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
- R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ECM-2005-11-12 (Econometrics)
- NEP-FOR-2005-11-12 (Forecasting)
- NEP-GEO-2005-11-12 (Economic Geography)
- NEP-MAC-2005-11-12 (Macroeconomics)
StatisticsAccess and download statistics
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wpa:wuwpur:0511004. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (EconWPA). General contact details of provider: https://econwpa.ub.uni-muenchen.de .
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.