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Cointegration and the joint confirmation hypothesis

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Recent papers by Charemza and Syczewska (1998) and Carrion, Sansó and Ortuño (2001) focused on the joint use of unit root and stationarity tests. In this paper, the discussion is extended to the case of cointegration. Critical values for testing the joint confirmation hypothesis of no cointegration are computed and a small Monte Carlo experiment evaluates the relative performance of this procedure.

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  • Vasco J. Gabriel, 2001. "Cointegration and the joint confirmation hypothesis," NIPE Working Papers 12/2001, NIPE - Universidade do Minho.
    • Handle: RePEc:nip:nipewp:12/2001
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    1. B. P. M. McCabe & S. J. Leybourne & Y. Shin, 1997. "A Parametric approach to testing the null of cointegration," Journal of Time Series Analysis, Wiley Blackwell, vol. 18(4), pages 395-413, July.
    2. Vasco Gabriel, 2003. "Tests for the Null Hypothesis of Cointegration: A Monte Carlo Comparison," Econometric Reviews, Taylor & Francis Journals, vol. 22(4), pages 411-435.
    3. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    4. Perron, Pierre & Ng, Serena, 1998. "An Autoregressive Spectral Density Estimator At Frequency Zero For Nonstationarity Tests," Econometric Theory, Cambridge University Press, vol. 14(5), pages 560-603, October.
    5. Andrews, Donald W K & Monahan, J Christopher, 1992. "An Improved Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimator," Econometrica, Econometric Society, vol. 60(4), pages 953-966, July.
    6. Charemza, Wojciech W. & Syczewska, Ewa M., 1998. "Joint application of the Dickey-Fuller and KPSS tests," Economics Letters, Elsevier, vol. 61(1), pages 17-21, October.
    7. Leybourne, S J & McCabe, B P M, 1999. "Modified Stationarity Tests with Data-Dependent Model-Selection Rules," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(2), pages 264-270, April.
    8. Saikkonen, Pentti, 1991. "Asymptotically Efficient Estimation of Cointegration Regressions," Econometric Theory, Cambridge University Press, vol. 7(1), pages 1-21, March.
    9. Carrion-i-Silvestre, Josep Lluis & Sanso-i-Rossello, Andreu & Ortuno, Manuel Artis, 2001. "Unit root and stationarity tests' wedding," Economics Letters, Elsevier, vol. 70(1), pages 1-8, January.
    10. Robert A. Amano & Simon van Norden, 1995. "Unit Root Tests and the Burden of Proof," Econometrics 9502005, University Library of Munich, Germany.
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    Cited by:

    1. Josep Carrion-i-Silvestre & Andreu Sansó, 2006. "A guide to the computation of stationarity tests," Empirical Economics, Springer, vol. 31(2), pages 433-448, June.
    2. Keblowski, Piotr & Welfe, Aleksander, 2004. "The ADF-KPSS test of the joint confirmation hypothesis of unit autoregressive root," Economics Letters, Elsevier, vol. 85(2), pages 257-263, November.
    3. Ricardo M. Sousa, 2010. "Collateralizable Wealth, Asset Returns, and Systemic Risk: International Evidence," NIPE Working Papers 15/2010, NIPE - Universidade do Minho.

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    More about this item

    Keywords

    Cointegration; Joint confirmation hypothesis; Monte Carlo simulations.;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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