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The labour module in a dynamic regional CGE model
Wittwer, Glyn; Dixon, Janine M. - 2015
Persistent link: https://www.econbiz.de/10011458936
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Regional forecasting on labour markets
Knobel, Claudia (ed.) - 2008 - 1. Aufl.
Persistent link: https://www.econbiz.de/10003779842
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Potential labour supply in the regions of the Nordic countries : a method to forecast and test regional patterns of potential labour supply
Kangasharju, Aki; Dall Schmidt, Torben; Rauhut, Daniel - 2010
Population changes are decisive for growth performances. This has been shown in a number of country studies, using time series data. The analysis is here extended in two dimensions: 1) the importance of demographics for growth is taking in to account a regional dimension allowing for spatial...
Persistent link: https://www.econbiz.de/10011575255
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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
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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
Persistent link: https://www.econbiz.de/10003290409
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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 - 2010
In this paper, a set of neural network (NN) models is developed to compute short-term forecasts of regional employment patterns in Germany. NNs are modern statistical tools based on learning algorithms that are able to process large amounts of data. NNs are enjoying increasing interest in...
Persistent link: https://www.econbiz.de/10012717667
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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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New neural network methods for forecasting regional employment : an analysis of German labour markets
Patuelli, Roberto; Reggiani, Aura; Nijkamp, Peter; … - 2006
In this paper, a set of neural network (NN) models is developed to compute short-term forecasts of regional employment patterns in Germany. NNs are modern statistical tools based on learning algorithms that are able to process large amounts of data. NNs are enjoying increasing interest in...
Persistent link: https://www.econbiz.de/10011348710