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On the power of panel cointegration tests: A Monte Carlo comparison. Economics Letters, 80(1):105-111

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  • Luciano Gutierrez

    (The University of Sassari)

Abstract

This paper enlarges on Karlsoon and Löthgreen’s (2000) results on panel unit root tests to panel cointegration tests. We show that for homogeneous panel, Kao’s (1999) tests have higher (lower) power than Pedroni’s (1999) tests when a small-T (high-T) number of observations are included in the panel and both tests show better performance than Larsson et al. (2001) test. In addition, depending on the T-dimension of the panel, cointegration tests can have high power when a small or high fraction of the relationships are cointegrated. This result suggests that when rejecting the null hypothesis of no cointegration for the whole panel not all the relationships can be really cointegrated.

Suggested Citation

  • Luciano Gutierrez, 2002. "On the power of panel cointegration tests: A Monte Carlo comparison. Economics Letters, 80(1):105-111," Econometrics 0211003, University Library of Munich, Germany, revised 20 May 2003.
    • Handle: RePEc:wpa:wuwpem:0211003
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    References listed on IDEAS

    as
    1. Haug, Alfred A., 1996. "Tests for cointegration a Monte Carlo comparison," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 89-115.
    2. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    3. Karlsson, Sune & Lothgren, Mickael, 2000. "On the power and interpretation of panel unit root tests," Economics Letters, Elsevier, vol. 66(3), pages 249-255, March.
    4. Rolf Larsson & Johan Lyhagen & Mickael Lothgren, 2001. "Likelihood-based cointegration tests in heterogeneous panels," Econometrics Journal, Royal Economic Society, vol. 4(1), pages 1-41.
    5. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    6. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    7. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    8. Gonzalo, Jesus, 1994. "Five alternative methods of estimating long-run equilibrium relationships," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 203-233.
    9. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
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    More about this item

    Keywords

    Panel data; Panel cointegration tests;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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