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Testing for seasonal unit roots in heterogeneous panels using monthly data in the presence of cross sectional dependence

  • Otero, Jesús

    (Facultad de Economía, Universidad del Rosario)

  • Smith, Jeremy

    (Department of Economics,University of Warwick)

  • Giulietti, Monica

    (Aston Business School, University of Aston)

This paper generalises the monthly seasonal unit root tests of Franses (1991) for a heterogeneous panel following the work of Im, Pesaran, and Shin (2003), which we refer to as the F-IPS tests. The paper presents the mean and variance necessary to yield a standard normal distribution for the tests, for different number of time observations, T, and lag lengths. However, these tests are only applicable in the absence of cross-sectional dependence. Two alternative methods for modifying these F-IPS tests in the presence of cross-sectional dependency are presented : the first is the cross-sectionally augmented test,denoted CF-IPS, following Pesaran (2007), the other is a bootstap method, denoted BF-IPS. In general, the BF-IPS tests have greater power than the CF-IPS tests, although for large T and high degree of cross-sectional dependency the CF-IPS test dominates the BF-IPS test.

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File URL: http://www2.warwick.ac.uk/fac/soc/economics/research/workingpapers/2008/twerp_865.pdf
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Paper provided by University of Warwick, Department of Economics in its series The Warwick Economics Research Paper Series (TWERPS) with number 865.

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Length: 30 pages
Date of creation: 2008
Date of revision:
Handle: RePEc:wrk:warwec:865
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Web page: http://www2.warwick.ac.uk/fac/soc/economics/

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  1. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
  2. Giulietti, Monica & Otero, Jesus & Smith, Jeremy, 2007. "Testing for seasonal unit roots in heterogeneous panels in the presence of cross section dependence," The Warwick Economics Research Paper Series (TWERPS) 784, University of Warwick, Department of Economics.
  3. Christian Dreger* & Hans-Eggert Reimers, 2005. "Panel Seasonal Unit Root Test: Further Simulation Results and An Application to Unemployment Data," AStA Advances in Statistical Analysis, Springer, vol. 89(3), pages 321-337, August.
  4. Otero, Jesus & Smith, Jeremy & Giulietti, Monica, 2004. "Testing for Seasonal Unit Roots in Heterogeneous Panels," The Warwick Economics Research Paper Series (TWERPS) 695, University of Warwick, Department of Economics.
  5. Joseph Beaulieu, J. & Miron, Jeffrey A., 1993. "Seasonal unit roots in aggregate U.S. data," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 305-328.
  6. Yoosoon Chang, 2000. "Bootstrap Unit Root Tests in Panels with Cross-Sectional Dependency," Econometric Society World Congress 2000 Contributed Papers 1585, Econometric Society.
  7. Philip Hans Franses & Bart Hobijn, 1997. "Critical values for unit root tests in seasonal time series," Journal of Applied Statistics, Taylor & Francis Journals, vol. 24(1), pages 25-48.
  8. Maddala, G S & Wu, Shaowen, 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(0), pages 631-52, Special I.
  9. Hylleberg, S. & Engle, R.F. & Granger, C.W.J. & Yoo, B.S., 1988. "Seasonal, Integration And Cointegration," Papers 6-88-2, Pennsylvania State - Department of Economics.
  10. 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.
  11. repec:cup:cbooks:9780521565882 is not listed on IDEAS
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