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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 …
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Empirical assessments of the forecasting power of spatial panel data econometric models are still scarcely available. Moreover, several methodological contributions rely on simulated data to showcase the potential of proposed methods. While simulations may be useful to evaluate the properties of...
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Because of heterogeneity across regions, economic policy measures are increasingly targeted at the regional level. As a result, the need for economic forecasts at a sub-national level is rapidly increasing. The data available to compute regional forecasts is usually based on a pseudo-panel that...
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Problems associated with employment have become a major issue in regional economics, especially in those countries, such as Spain, where unemployment represents a serious threat to regional stability. In this context, the purpose of our paper is twofold: first, to develop a prediction instrument...
Persistent link: https://www.econbiz.de/10014200966
The development of employment and unemployment in regional labour markets is known to spatially interdependent. Global Vector-Autoregressive (GVAR) models generate a link between the local and the surrounding labour markets and thus might be useful when analysing and forecasting employment and...
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