In this paper, a set of neural network (NN) models is developed to compute short-term forecasts of regional employment … forecasting range. Next, additional forecasts are computed, by combining the NN methodology with Shift-Share Analysis (SSA). Since … differences in the size and time horizons of the data, the forecasts for West and East Germany are computed separately. The out …

Abstract In this paper, a set of neural network (NN) models is developed to compute short-term forecasts of regional … German district, with a 2-year forecasting range. Next, additional forecasts are computed, by combining the NN methodology … German (NUTS 3) districts. Because of differences in the size and time horizons of the data, the forecasts for West and East …

ex-post forecasts have been carried out by means of a non-parametric test: viz. the Friedman statistic. The Friedman … statistic is indifferent to the scale on which the data are measured. The evaluation of the ex-post forecasts suggests that NN … reliability of its forecasts. …

In this paper, a set of neural network (NN) models is developed to compute short-term forecasts of regional employment … forecasting range. Next, additional forecasts are computed, by combining the NN methodology with Shift-Share Analysis (SSA). Since … differences in the size and time horizons of the data, the forecasts for West and East Germany are computed separately. The out …