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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 …
Persistent link: https://www.econbiz.de/10005144453
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 …
Persistent link: https://www.econbiz.de/10005495698
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. …
Persistent link: https://www.econbiz.de/10005556232
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 …
Persistent link: https://www.econbiz.de/10011256595
This note gives a fairly complete statistical description of the Hodrick-Prescott Filter (1997) which has been proposed in the context of my seasonal adjustment method (Schlicht 1981, 1984). A statistics estimator for the smoothing parameter is proposed that is asymptotically equivalent to the...
Persistent link: https://www.econbiz.de/10005703010