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New neural network methods for forecasting regional employment : an analysis of German labour markets
Patuelli, Roberto; Reggiani, Aura; Nijkamp, Peter; … - 2006
patterns in Germany. NNs are modern statistical tools based on learning algorithms that are able to process large amounts of … compares two NN methodologies. First, it uses NNs to forecast regional employment in both the former West and East Germany … differences in the size and time horizons of the data, the forecasts for West and East Germany are computed separately. The out …
Persistent link: https://www.econbiz.de/10011348710
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New Neural Network Methods for Forecasting Regional Employment : An Analysis of German Labour Markets
Patuelli, Roberto - 2010
patterns in Germany. NNs are modern statistical tools based on learning algorithms that are able to process large amounts of … compares two NN methodologies. First, it uses NNs to forecast regional employment in both the former West and East Germany … differences in the size and time horizons of the data, the forecasts for West and East Germany are computed separately. The out …
Persistent link: https://www.econbiz.de/10012717667
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Neural network modeling as a tool for forecasting regional employment patterns
Longhi, Simonetta; Nijkamp, Peter; Reggiani, Aura; … - In: International regional science review 28 (2005) 3, pp. 330-346
Persistent link: https://www.econbiz.de/10002968933
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New neural network methods for forecasting regional employment : an analysis of German labour markets
Patuelli, Roberto; Reggiani, Aura; Nijkamp, Peter; … - In: Spatial economic analysis : the journal of the Regional … 1 (2006) 1, pp. 7-30
Persistent link: https://www.econbiz.de/10003370431
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Neural Networks for Regional Employment Forecasts : Are the Parameters Relevant?
Patuelli, Roberto; Reggiani, Aura; Nijkamp, Peter; … - 2011
In this paper, we present a review of various computational experiments concerning neural network (NN) models developed for regional employment forecasting. NNs are nowadays widely used in several fields because of their flexible specification structure. A series of NN experiments is presented...
Persistent link: https://www.econbiz.de/10014191043
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Forecasting the unemployment rate over districts with the use of distinct methods
Wozniak, Marcin - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 24 (2020) 2, pp. 1-20
Persistent link: https://www.econbiz.de/10012198640
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Multicriteria Analysis of Neural Network Forecasting Models : An Application to German Regional Labour Markets
Patuelli, Roberto; Longhi, Simonetta; Reggiani, Aura; … - 2010
models – based on classes of Neural Network (NN) techniques – that serve to generate employment forecasts in West Germany at …
Persistent link: https://www.econbiz.de/10014191096
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Neural networks for cross-sectional employment forcasts : a comparison of model specification for Germany
Patuelli, Roberto; Reggiani, Aura; Nijkamp, Peter; … - 2009
Persistent link: https://www.econbiz.de/10003830799
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Forecasting regional labour market developments under spatial heterogeneity and spatial autocorrelation
Longhi, Simonetta; Nijkamp, Peter - 2005
spatial structure that is required for the estimation of spatial models improves the forecasting performance of non …
Persistent link: https://www.econbiz.de/10011343272
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Evaluating the impact of the labor market conditions index on labor market forecasts
Connolly, Laura; Sheehan, Alice - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 22 (2018) 1, pp. 1-17
Persistent link: https://www.econbiz.de/10011886642