Forecasting Spanish Unemployment Using Near Neighbour and Neural Net Techniques

  • Authors:
  • Elena Olmedo

  • Affiliations:
  • Departamento de Economía Aplicada I, Universidad de Sevilla, Sevilla, Spain 41018

  • Venue:
  • Computational Economics
  • Year:
  • 2014

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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.