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Forecasting Spanish Unemployment Using Near Neighbour and Neural Net Techniques.
- Source :
- Computational Economics; Feb2014, Vol. 43 Issue 2, p183-197, 15p
- Publication Year :
- 2014
-
Abstract
- In this paper, alternative non-parametric forecasting techniques are analysed, with emphasis placed on the difference between the reconstruction and learning approaches. The former is based on Takens' Theorem, which recovers unknown dynamic properties of a system; it is appropriate in deterministic systems. The latter is a powerful instrument in noisy systems. Both techniques are applied to the forecasting of Spanish unemployment, first one step -forecasting and second using a longer time horizon of prediction. To assess the robustness and generality of the methods we have employed unemployment time series of different European countries. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09277099
- Volume :
- 43
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Computational Economics
- Publication Type :
- Academic Journal
- Accession number :
- 93707142
- Full Text :
- https://doi.org/10.1007/s10614-013-9371-1