A new spatial shift-share decomposition for the regional growth analysis: a local study of the employment based on Italian Business Statistical Register
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Bibliographic InfoArticle provided by Springer in its journal Statistical Methods & Applications.
Volume (Year): 20 (2011)
Issue (Month): 3 (August)
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Web page: http://link.springer.de/link/service/journals/10260/index.htm
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- Roberto Patuelli & Aura Reggiani & Peter Nijkamp & Uwe Blien, 2006.
"New Neural Network Methods for Forecasting Regional Employment: an Analysis of German Labour Markets,"
Spatial Economic Analysis,
Taylor and Francis Journals, vol. 1(1), pages 7-30.
- Roberto Patuelli & Aura Reggiani & Peter Nijkamp & Uwe Blien, 2006. "New Neural Network Methods for Forecasting Regional Employment: An Analysis of German Labour Markets," Tinbergen Institute Discussion Papers 06-020/3, Tinbergen Institute.
- F Stetzer, 1982. "Specifying weights in spatial forecasting models: the results of some experiments," Environment and Planning A, Pion Ltd, London, vol. 14(5), pages 571-584, May.
- Gian Pietro Zaccomer, 2006. "Shift-Share Analysis with Spatial Structure: an Application to Italian Industrial Districts," Transition Studies Review, Springer, vol. 13(1), pages 213-227, 05.
- Case, Anne C. & Rosen, Harvey S. & Hines, James Jr., 1993. "Budget spillovers and fiscal policy interdependence : Evidence from the states," Journal of Public Economics, Elsevier, vol. 52(3), pages 285-307, October.
- Suahasil Nazara & Geoffrey J.D. Hewings, 2004. "Spatial Structure and Taxonomy of Decomposition in Shift-Share Analysis," Growth and Change, Gatton College of Business and Economics, University of Kentucky, vol. 35(4), pages 476-490.
- Bernard Fingleton, 2001. "Equilibrium and Economic Growth: Spatial Econometric Models and Simulations," Journal of Regional Science, Wiley Blackwell, vol. 41(1), pages 117-147.
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