IDEAS home Printed from https://ideas.repec.org/a/mes/eaeuec/v40y2002i1p63-87.html
   My bibliography  Save this article

Measuring Business Cycles: The Case of Slovenia

Author

Listed:
  • Timotej Jagri

Abstract

In this article, spectral analysis is used to study cyclic patterns in the Slovene economy. We examine whether the transition in Slovenia was marked by a statistically significant movement of aggregate economic activity, which corresponds to the definition of the business cycle proposed by Burns and Mitchell. We find that in the period 1992-2000 a statistically significant cyclic component is present. The cyclic component oscillates at the frequency of 33.3 months. The results obtained here suggest that two full-length cycles can be identified in the period under observation.

Suggested Citation

  • Timotej Jagri, 2002. "Measuring Business Cycles: The Case of Slovenia," Eastern European Economics, Taylor & Francis Journals, vol. 40(1), pages 63-87, January.
    • Handle: RePEc:mes:eaeuec:v:40:y:2002:i:1:p:63-87
    as

    Download full text from publisher

    File URL: http://mesharpe.metapress.com/link.asp?target=contribution&id=FR4JFJKA5KK1D5YP
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cifter, Atilla & Yilmazer, Sait & Cifter, Elif, 2009. "Analysis of sectoral credit default cycle dependency with wavelet networks: Evidence from Turkey," Economic Modelling, Elsevier, vol. 26(6), pages 1382-1388, November.
    2. Jagric Timotej, 2003. "A Nonlinear Approach to Forecasting with Leading Economic Indicators," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(2), pages 1-20, July.
    3. Lu Han & Ruihuan Ge, 2017. "Wavelets Analysis on Structural Model for Default Prediction," Computational Economics, Springer;Society for Computational Economics, vol. 50(1), pages 111-140, June.
    4. Timotej Jagric, 2003. "Forecasting with leading economic indicators - a non-linear approach," Prague Economic Papers, Prague University of Economics and Business, vol. 2003(1), pages 68-83.

    More about this item

    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:mes:eaeuec:v:40:y:2002:i:1:p:63-87. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/MEEE20 .

    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.