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Small Sample Improvements in the Statistical Analysis of Seasonally Cointegrated Systems

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Author Info
Cubadda, Gianluca ()
Omtzigt, Pieter

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Abstract

This paper proposes new iterative reduced-rank regression procedures for seasonal cointegration analysis. The suggested methods are motivated by the idea that modelling the cointegration restrictions jointly at different frequencies may increase efficiency in finite samples. Monte Carlo simulations indicate that the new tests and estimators perform well with respect to already existing statistical procedures.

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File URL: http://www.unimol.it/progetti/repec/mol/ecsdps/ESDP03012.pdf
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Publisher Info
Paper provided by University of Molise, Dept. SEGeS in its series Economics & Statistics Discussion Papers with number esdp03012.

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Length: 20 pages
Date of creation: 28 Oct 2003
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Handle: RePEc:mol:ecsdps:esdp03012

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Related research
Keywords: Seasonal Cointegration; Reduced Rank Regression.;

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Find related papers by JEL classification:
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Johansen, S ren, 2000. "A Bartlett Correction Factor For Tests On The Cointegrating Relations," Econometric Theory, Cambridge University Press, vol. 16(05), pages 740-778, October. [Downloadable!]
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  2. Granger, C. W. J. & Siklos, Pierre L., 1995. "Systematic sampling, temporal aggregation, seasonal adjustment, and cointegration theory and evidence," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 357-369. [Downloadable!] (restricted)
    Other versions:
  3. Johansen, Soren & Schaumburg, Ernst, 1998. "Likelihood analysis of seasonal cointegration," Journal of Econometrics, Elsevier, vol. 88(2), pages 301-339, November. [Downloadable!] (restricted)
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  4. Franses, Philip Hans & McAleer, Michael, 1998. " Cointegration Analysis of Seasonal Time Series," Journal of Economic Surveys, Blackwell Publishing, vol. 12(5), pages 651-78, December. [Downloadable!] (restricted)
  5. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238. [Downloadable!] (restricted)
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  6. Cubadda, Gianluca, 1999. "Common Cycles in Seasonal Non-stationary Time Series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 273-91, May-June. [Downloadable!]
  7. Franses, Philip Hans & Kunst, Robert M, 1999. " On the Role of Seasonal Intercepts in Seasonal Cointegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(3), pages 409-33, August. [Downloadable!] (restricted)
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  8. Phillips, Peter C B, 1994. "Some Exact Distribution Theory for Maximum Likelihood Estimators of Cointegrating Coefficients in Error Correction Models," Econometrica, Econometric Society, vol. 62(1), pages 73-93, January. [Downloadable!] (restricted)
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  9. Hylleberg, Svend & Jorgensen, Clara & Sorensen, Nils Karl, 1993. "Seasonality in Macroeconomic Time Series," Empirical Economics, Springer, vol. 18(2), pages 321-35.
  10. Karim M. Abadir & Paolo Paruolo, 1997. "Two Mixed Normal Densities from Cointegration Analysis," Econometrica, Econometric Society, vol. 65(3), pages 671-680, May.
  11. Omtzigt Pieter & Fachin Stefano, 2002. "Bootstrapping and Bartlett corrections in the cointegrated VAR model," Economics and Quantitative Methods qf0212, Department of Economics, University of Insubria. [Downloadable!]
  12. Brendstrup, Bjarne & Hylleberg, Svend & Nielsen, Morten Rregaard & Skipper, Lars & Stentoft, Lars, 2004. "Seasonality In Economic Models," Macroeconomic Dynamics, Cambridge University Press, vol. 8(03), pages 362-394, June. [Downloadable!]
  13. Abeysinghe, Tilak, 1994. "Deterministic seasonal models and spurious regressions," Journal of Econometrics, Elsevier, vol. 61(2), pages 259-272, April. [Downloadable!] (restricted)
  14. Ghysels, Eric & Granger, Clive W J & Siklos, Pierre L, 1996. "Is Seasonal Adjustment a Linear or Nonlinear Data-Filtering Process?," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 374-86, July.
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  15. Cubadda, Gianluca, 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. [Downloadable!] (restricted)
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  16. Lof, Marten & Hans Franses, Philip, 2001. "On forecasting cointegrated seasonal time series," International Journal of Forecasting, Elsevier, vol. 17(4), pages 607-621. [Downloadable!] (restricted)
  17. Gonzalo, Jesus, 1994. "Five alternative methods of estimating long-run equilibrium relationships," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 203-233. [Downloadable!] (restricted)
  18. Lee, Hahn Shik, 1992. "Maximum likelihood inference on cointegration and seasonal cointegration," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 1-47. [Downloadable!] (restricted)
  19. Löf, Mårten & Franses, Philip Hans, 2000. "On Forecasting Cointegrated Seasonal Time Series," Working Paper Series in Economics and Finance 350, Stockholm School of Economics. [Downloadable!]
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Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Fabio Busetti, 2006. "Tests of seasonal integration and cointegration in multivariate unobserved component models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(4), pages 419-438. [Downloadable!]
    Other versions:
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