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Bootstrapping unit root tests

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Listed:
  • Daniela De Angelis
  • Stefano Fachin
  • G. Alastair Young

Abstract

Unit root tests have been known for a long time to suffer from a variety of problems. Considering that simulation methods are obvious candidates for solving some of these problems, the aim of this paper is to assess the performance of bootstrap tests of the unit root hypothesis of the Dickey-Fuller type. The results obtained show that boostrap tests have empirical sizes very close to the nominal ones and deliver rejection rates generally at least as high as those obtained using simulated critical points, and are therefore a promising alternative to the latter. The applications sto non-standard problems such as structural stability analysis appear to be especially promising.

Suggested Citation

  • Daniela De Angelis & Stefano Fachin & G. Alastair Young, 1997. "Bootstrapping unit root tests," Applied Economics, Taylor & Francis Journals, vol. 29(9), pages 1155-1161.
  • Handle: RePEc:taf:applec:v:29:y:1997:i:9:p:1155-1161
    DOI: 10.1080/00036849700000006
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    References listed on IDEAS

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    1. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    2. Hylleberg, Svend & Mizon, Grayham E., 1989. "A note on the distribution of the least squares estimator of a random walk with drift," Economics Letters, Elsevier, vol. 29(3), pages 225-230.
    3. Pierse, R. G. & Snell, A. J., 1995. "Temporal aggregation and the power of tests for a unit root," Journal of Econometrics, Elsevier, vol. 65(2), pages 333-345, February.
    4. Rudebusch, Glenn D, 1992. "Trends and Random Walks in Macroeconomic Time Series: A Re-examination," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(3), pages 661-680, August.
    5. Cochrane, John H., 1991. "A critique of the application of unit root tests," Journal of Economic Dynamics and Control, Elsevier, vol. 15(2), pages 275-284, April.
    6. Stefano Fachin, 1995. "The Finnish demand for money revisited: an application of Box-Tiao cointegration analysis and bootstrap tests," Applied Economics Letters, Taylor & Francis Journals, vol. 2(9), pages 308-310.
    7. Christiano, Lawrence J, 1992. "Searching for a Break in GNP," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 237-250, July.
    8. Blangiewicz, Maria & Charemza, Wojciech W, 1990. "Cointegration in Small Samples: Empirical Percentiles, Drifting Moments and Customized Testing," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(3), pages 303-315, August.
    9. Harris, R I D, 1992. "Small Sample Testing for Unit Roots," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(4), pages 615-625, November.
    10. James G. MacKinnon, 1990. "Critical Values for Cointegration Tests," Working Papers 1227, Queen's University, Department of Economics.
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    Cited by:

    1. Aka, F.B. & Decaluwe, B., 1999. "Causality and Comovement Between Tax Rate and Budget Deficits: Further Evidence from Developing Countries," Papers 9911, Laval - Recherche en Politique Economique.

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