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Finite-sample critical values of the Augmented Dickey-Fuller statistic: a note on lag order

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  • S Cook

Abstract

The lag order dependence of finite-sample Augmented Dickey-Fuller (ADF) critical values is examined via a comparison of the response surface specifications of Cheung and Lai (1995) and MacKinnon (1991). Theoretical, Monte Carlo and empirical evidence show failure to incorporate lag order effects reduces the power of the ADF test to reject the unit root null hypothesis. ?

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  • S Cook, 2001. "Finite-sample critical values of the Augmented Dickey-Fuller statistic: a note on lag order," Economic Issues Journal Articles, Economic Issues, vol. 6(2), pages 31-46, September.
  • Handle: RePEc:eis:articl:201cook
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    File URL: http://www.economicissues.org.uk/Files/2001/201cCook.pdf
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    References listed on IDEAS

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    1. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
    2. Ng, Serena, 1995. "Testing for unit roots in flow data sampled at different frequencies," Economics Letters, Elsevier, vol. 47(3-4), pages 237-242, March.
    3. Harris, R. I. D., 1992. "Testing for unit roots using the augmented Dickey-Fuller test : Some issues relating to the size, power and the lag structure of the test," Economics Letters, Elsevier, vol. 38(4), pages 381-386, April.
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    Cited by:

    1. Steven Cook, 2003. "The stylized approach to unit root testing: Neglected contributions and the cost of simplicity," Journal of Applied Statistics, Taylor & Francis Journals, vol. 30(3), pages 267-272.
    2. Peter Sephton, 2008. "Critical values of the augmented fractional Dickey–Fuller test," Empirical Economics, Springer, vol. 35(3), pages 437-450, November.

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