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Measuring Business Cycles: The Case of Slovenia

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  • 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
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.

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