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Semiparametric selection of seasonal cointegrating ranks using information criteria

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  • Seong, Byeongchan

Abstract

We consider the use of information criteria (IC) on the basis of a semiparametric seasonal error correction model for selecting seasonal cointegrating ranks. Some limit properties of the IC are considered and, through a small Monte Carlo simulation, we evaluate the performance of the IC.

Suggested Citation

  • Seong, Byeongchan, 2013. "Semiparametric selection of seasonal cointegrating ranks using information criteria," Economics Letters, Elsevier, vol. 120(3), pages 592-595.
    • Handle: RePEc:eee:ecolet:v:120:y:2013:i:3:p:592-595
    DOI: 10.1016/j.econlet.2013.06.031
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    References listed on IDEAS

    as
    1. Byeongchan Seong & Sinsup Cho & Sung K. Ahn, 2006. "Maximum Eigenvalue Test for Seasonal Cointegrating Ranks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(4), pages 497-514, August.
    2. Xu Cheng & P eter C. B. Phillips, 2009. "Semiparametric cointegrating rank selection," Econometrics Journal, Royal Economic Society, vol. 12(s1), pages 83-104, January.
    3. Byeongchan Seong, 2013. "Bootstrap test for seasonal cointegrating ranks," Applied Economics Letters, Taylor & Francis Journals, vol. 20(2), pages 147-151, February.
    4. Gianluca Cubadda, 2001. "Complex Reduced Rank Models For Seasonally Cointegrated Time Series," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(4), pages 497-511, September.
    5. Kapetanios, George, 2004. "The Asymptotic Distribution Of The Cointegration Rank Estimator Under The Akaike Information Criterion," Econometric Theory, Cambridge University Press, vol. 20(4), pages 735-742, August.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Seasonal cointegration; Seasonal error correction model; Seasonal unit roots;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • 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

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