IDEAS home Printed from https://ideas.repec.org/p/bar/bedcje/199952.html
   My bibliography  Save this paper

Consecuencias de la modelizacion ARIMA para la extraccion de senales en coyuntura

Author

Listed:
  • Ernest Pons Fanals
  • Jordi Surinach Caralt

    (Universitat de Barcelona)

Abstract

In short-term evolution analysis, the economic time series are contamined by different types of noises which need to be erased in order to extract a trend signal. In the last years there has been increasingly developed some methods to estimate unobserved components based on the assumption that the economic series and their components follow ARIMA models. Nevertheless few atention has been focused to the practical consequences that arise from this assumption. In this paper, we discuss about some consequences from the ARIMA model based estimation of trend signal on economic time series, and relate that with its memory characteristics. Finally some of this problems are illustrated with the Spanish Industrial Production Index.

Suggested Citation

  • Ernest Pons Fanals & Jordi Surinach Caralt, 1999. "Consecuencias de la modelizacion ARIMA para la extraccion de senales en coyuntura," Working Papers in Economics 52, Universitat de Barcelona. Espai de Recerca en Economia.
  • Handle: RePEc:bar:bedcje:199952
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles

    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:bar:bedcje:199952. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Espai de Recerca en Economia). General contact details of provider: http://edirc.repec.org/data/feubaes.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.