-series techniques to distinct time series of regional data may then become a sub-optimal forecasting strategy. In the field of regional … forecasting of socio-economic variables, both linear and non-linear models have recently been applied and evaluated. However … spatial structure that is required for the estimation of spatial models improves the forecasting performance of non …

forecasting tools for regional employment growth. Because of relevant differences in data availability between the former East and …

for regional employment forecasting. NNs are nowadays widely used in several fields because of their flexible … combinations of NN parameters provide significantly varying statistical performance and forecasting power. Finally, we note that …

-econometric techniques based on learning mechanisms, with a view to analysing and forecasting regional labour markets. The aim of this paper …

the main stream of methodological approaches for scenario building, i.e. forecasting and backcasting approaches; it …

forecasting range. Next, additional forecasts are computed, by combining the NN methodology with Shift-Share Analysis (SSA). Since …-of-sample forecasting ability of the models is evaluated by means of several appropriate statistical indicators. …