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Examination of Some More Powerful Modifications of the Dickey-Fuller Test

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  • Stephen Leybourne
  • Tae-Hwan Kim
  • Paul Newbold

Abstract

Although the t-ratio variant of the Dickey-Fuller test is the most commonly applied unit-root test in practical applications, it has been known for some time that readily implementable, more powerful modifications are available. We explore the large-sample properties of five of these modified tests, and the small-sample properties of these five plus six hybrids. As a result of this study we recommend two particular test procedures. Copyright 2005 Blackwell Publishing Ltd.

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Bibliographic Info

Article provided by Wiley Blackwell in its journal Journal of Time Series Analysis.

Volume (Year): 26 (2005)
Issue (Month): 3 (05)
Pages: 355-369

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Handle: RePEc:bla:jtsera:v:26:y:2005:i:3:p:355-369

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References

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  1. Graham Elliott & Thomas J. Rothenberg & James H. Stock, 1992. "Efficient Tests for an Autoregressive Unit Root," NBER Technical Working Papers 0130, National Bureau of Economic Research, Inc.
  2. Ng, S. & Perron, P., 1994. "Unit Root Tests ARMA Models with Data Dependent Methods for the Selection of the Truncation Lag," Cahiers de recherche 9423, Universite de Montreal, Departement de sciences economiques.
  3. Banerjee, Anindya & Lumsdaine, Robin L & Stock, James H, 1992. "Recursive and Sequential Tests of the Unit-Root and Trend-Break Hypotheses: Theory and International Evidence," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 271-87, July.
  4. Peter C.B. Phillips & Pierre Perron, 1986. "Testing for a Unit Root in Time Series Regression," Cowles Foundation Discussion Papers 795R, Cowles Foundation for Research in Economics, Yale University, revised Sep 1987.
  5. Leybourne, S J, 1995. "Testing for Unit Roots Using Forward and Reverse Dickey-Fuller Regressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 57(4), pages 559-71, November.
  6. Taylor, A M Robert, 2002. "Regression-Based Unit Root Tests with Recursive Mean Adjustment for Seasonal and Nonseasonal Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 269-81, April.
  7. Elliott, Graham, 1999. "Efficient Tests for a Unit Root When the Initial Observation Is Drawn from Its Unconditional Distribution," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(3), pages 767-83, August.
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Citations

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Cited by:
  1. Filippo di Mauro & L. Vanessa Smith & Stephane Dees & M. Hashem Pesaran, 2007. "Exploring the international linkages of the euro area: a global VAR analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 1-38.
  2. Wolters, Jürgen & Hassler, Uwe, 2005. "Unit root testing," Discussion Papers 2005/23, Free University Berlin, School of Business & Economics.
  3. Steven Clark & T. Coggin, 2011. "Are U.S. stock prices mean reverting? Some new tests using fractional integration models with overlapping data and structural breaks," Empirical Economics, Springer, vol. 40(2), pages 373-391, April.
  4. Ambrogio Cesa-Bianchi & M. Hashem Pesaran & Alessandro Rebucci & TengTeng Xu, 2011. "China’s Emergence in the World Economy and Business Cycles in Latin America," Research Department Publications 4732, Inter-American Development Bank, Research Department.
  5. Taipalus, Katja, 2012. "Detecting asset price bubbles with time-series methods," Scientific Monographs E:47/2012, Bank of Finland.
  6. Jesús Otero & Jeremy Smith, 2012. "Response surface models for the Leybourne unit root tests and lag order dependence," Computational Statistics, Springer, vol. 27(3), pages 473-486, September.
  7. Ben Salha, Ousama & Sebri, Maamar, 2013. "A multivariate analysis of the causal flow between renewable energy consumption and GDP in Tunisia," MPRA Paper 52572, University Library of Munich, Germany.
  8. Acaravci, Ali & Ozturk, Ilhan & Kandir, Serkan Yilmaz, 2012. "Natural gas prices and stock prices: Evidence from EU-15 countries," Economic Modelling, Elsevier, vol. 29(5), pages 1646-1654.
  9. Ali Acaravci & Ilhan Ozturk, 2012. "Electricity Consumption and Economic Growth Nexus: A Multivariate Analysis for Turkey," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 14(31), pages 246-257, February.
  10. Taipalus , Katja, 2012. "Signaling asset price bubbles with time-series methods," Research Discussion Papers 7/2012, Bank of Finland.
  11. Ocal, Oguz & Aslan, Alper, 2013. "Renewable energy consumption–economic growth nexus in Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 494-499.
  12. Ozturk, Ilhan & Acaravci, Ali, 2011. "Electricity consumption and real GDP causality nexus: Evidence from ARDL bounds testing approach for 11 MENA countries," Applied Energy, Elsevier, vol. 88(8), pages 2885-2892, August.
  13. Kunst, Robert M., 2005. "Approaches for the Joint Evaluation of Hypothesis Tests: Classical Testing, Bayes Testing, and Joint Confirmation," Economics Series 177, Institute for Advanced Studies.
  14. Steven Cook, 2006. "The robustness of modified unit root tests in the presence of GARCH," Quantitative Finance, Taylor & Francis Journals, vol. 6(4), pages 359-363.

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