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Testing for seasonal unit roots in heterogeneous panels

Author

Listed:
  • Otero, Jesus
  • Smith, Jeremy
  • Giulietti, Monica

Abstract

This paper uses the approach of Im, Pesaran and Shin (2003) to propose seasonal unit root tests for dynamic heterogeneous panels based on the means of the individuals HEGY test statistics. The standardised t-bar and F-bar statistics are simply averages of the HEGY tests across groups. These statistics converge to standard normal variates.

Suggested Citation

  • Otero, Jesus & Smith, Jeremy & Giulietti, Monica, 2004. "Testing for seasonal unit roots in heterogeneous panels," Economic Research Papers 269589, University of Warwick - Department of Economics.
  • Handle: RePEc:ags:uwarer:269589
    DOI: 10.22004/ag.econ.269589
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    References listed on IDEAS

    as
    1. 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.
    2. Ghysels, Eric & Lee, Hahn S. & Noh, Jaesum, 1994. "Testing for unit roots in seasonal time series : Some theoretical extensions and a Monte Carlo investigation," Journal of Econometrics, Elsevier, vol. 62(2), pages 415-442, June.
    3. Ghysels,Eric & Osborn,Denise R., 2001. "The Econometric Analysis of Seasonal Time Series," Cambridge Books, Cambridge University Press, number 9780521565882.
    4. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    5. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    6. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
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    Citations

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    Cited by:

    1. Otero, Jesus & Smith, Jeremy & Giulietti, Monica, 2007. "Testing for seasonal unit roots in heterogeneous panels in the presence of cross section dependence," Economics Letters, Elsevier, vol. 97(2), pages 179-184, November.
    2. Christophe RAULT & Guglielmo Maria CAPORALE & Thouraya HADJ AMOR, 2009. "International Financial Integration And Real Exchange Rate Long-Run Dynamics In Emerging Countries," William Davidson Institute Working Papers Series wp970, William Davidson Institute at the University of Michigan.
    3. Robert M. Kunst & Philip Hans Franses, 2011. "Testing for Seasonal Unit Roots in Monthly Panels of Time Series," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(4), pages 469-488, August.
    4. Otero, Jesus & Smith, Jeremy & Giulietti, Monica, 2008. "Testing for seasonal unit roots in heterogeneous panels using monthly data in the presence of cross sectional dependence," Economic Research Papers 269863, University of Warwick - Department of Economics.
    5. Hsu Shih-Hsun, 2021. "Disentangling the source of non-stationarity in a panel of seasonal data," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(1), pages 1-18, February.
    6. Guglielmo Maria Caporale & Thouraya Hadj Amor & Christophe Rault, 2011. "International financial integration and real exchange rate long-run dynamics in emerging countries: Some panel evidence," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 20(6), pages 789-808, September.
    7. Ho, Tsung-wu, 2008. "Testing seasonal mean-reversion in the real exchange rates: An application of nonlinear IV estimator," Economics Letters, Elsevier, vol. 99(2), pages 314-316, May.
    8. Ghatak, Subrata & Guresci-Pehlivan, Gulcin & Utkulu, Utku, 2011. "Convergence in an Enlarged Europe: The Turkish Case," Economics Discussion Papers 2011-3, School of Economics, Kingston University London.
    9. Ucar, Nuri & Guler, Huseyin, 2010. "Testing stochastic income convergence in seasonal heterogeneous panels," Economic Modelling, Elsevier, vol. 27(1), pages 422-431, January.

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    More about this item

    Keywords

    Agricultural and Food Policy; Research Methods/ Statistical Methods;

    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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