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Housing Prices Wavelet Entropy to Understand Macroeconomic States

  • Myriam P. Sassano
  • Araceli N. Proto
Part of the Studies in Computational Intelligence book series (SCI, volume 448)

Abstract

Wavelet entropy is proposed as an indicator of a macroeconomic situation using the past experience, in order to extract information about the economic complexity of a country. The Argentinean historical construction indexes series from 1970 to 2011 are taken as example. The wavelet entropy was evaluated for the whole period every 12 and 24 and 32 months, for that series. High wavelet entropy variations can be detected in the periods 1974-78, 1985-89,1990-92, in coincidence with internal or external political or economical instabilities. Comparison with other temporal series, national and international is made in order to justified why wavelet entropy index provide relevant information about macroeconomic states.

Keywords

Wavelet Entropy Economic Series Time Series Information Extraction 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Myriam P. Sassano
    • 1
  • Araceli N. Proto
    • 1
  1. 1.Laboratorio de Sistemas ComplejosFacultad de IngenieriaUniversidad de Buenos AiresBuenos AiresArgentina

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