IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/65812.html
   My bibliography  Save this paper

Decomposition of the European GDP based on Singular Spectrum Analysis

Author

Listed:
  • Leon, Costas

Abstract

In this paper, the Singular Spectrum Analysis (SSA), a relatively new tool originated in natural sciences, for orthogonal decomposition of time series, is presented and applied in the European real, seasonally unadjusted quarterly GDP for the period 1995 - 2010. SSA is suitable for short and noisy time series, properties that characterize many macroeconomic time series. In this paper, I decompose the GDP in trend, cycle, seasonals and noise components. There are significant similarities but also some differences between the SSA-based filter and the other well-known macroeconomic filters. These differences are shown here by means of correlation matrices and spectral measures. Although SSA is a method that only very recently has been introduced in macroeconomics, its use in the natural sciences for more than three decades, makes it a serious candidate for tackling macroeconomic issues such as filtering, denoising and smoothing.

Suggested Citation

  • Leon, Costas, 2015. "Decomposition of the European GDP based on Singular Spectrum Analysis," MPRA Paper 65812, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:65812
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/65812/1/MPRA_paper_65812.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Macroeconomics; economic fluctuations; business cycle; dynamical systems; spectral methods; singular spectrum analysis.;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:65812. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.