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Common Features In Time Series With Both Deterministic And Stochastic Seasonality

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  • Gianluca Cubadda

Abstract

This paper extends the notions of common cycles and common seasonal features to time series having deterministic and stochastic seasonality at different frequencies. The conditions under which quarterly time series with these characteristics have common features are investigated, various representations are presented and statistical inference is discussed. Finally, the analysis is applied to study comovements between different components of consumption and income using UK data.

Suggested Citation

  • Gianluca Cubadda, 2001. "Common Features In Time Series With Both Deterministic And Stochastic Seasonality," Econometric Reviews, Taylor & Francis Journals, vol. 20(2), pages 201-216.
  • Handle: RePEc:taf:emetrv:v:20:y:2001:i:2:p:201-216
    DOI: 10.1081/ETC-100103823
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    Cited by:

    1. Marco Centoni & Gianluca Cubadda, 2015. "Common Feature Analysis of Economic Time Series: An Overview and Recent Developments," CEIS Research Paper 355, Tor Vergata University, CEIS, revised 05 Oct 2015.
    2. Paruolo, Paolo, 2006. "Common trends and cycles in I(2) VAR systems," Journal of Econometrics, Elsevier, vol. 132(1), pages 143-168, May.
    3. Evren Erdoğan Cosar, 2006. "Seasonal behaviour of the consumer price index of Turkey," Applied Economics Letters, Taylor & Francis Journals, vol. 13(7), pages 449-455.
    4. Paruolo Paolo, 2002. "Testing for common trends in conditional I(2) VAR models," Economics and Quantitative Methods qf0216, Department of Economics, University of Insubria.
    5. Yin-Wong Cheung & Frank Westermann, 2003. "Sectoral trends and cycles in Germany," Empirical Economics, Springer, vol. 28(1), pages 141-156, January.
    6. Adom, Assandé Désiré & Sharma, Subhash C. & Morshed, A.K.M. Mahbub, 2010. "Economic integration in Africa," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(3), pages 245-253, August.

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    More about this item

    Keywords

    Common features; Seasonality; Codependence; JEL Classification : C32; C52;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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