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Weighted symmetric tests for a unit root: response functions, power, test dependence and test conflict

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  • K. Patterson
  • Saeed Heravi

Abstract

The most frequently applied test statistics for a unit root are the Dickey-Fuller tests, which are built into many econometric packages along with MacKinnon's empirical response functions. This article provides empirical response functions for some easy to compute alternative test statistics that are generally much more powerful than the Dickey-Fuller tests; specifically, these are the Dickey-Fuller tests and the weighted symmetric versions of the and tests. The empirical response functions presented here take into account adjustments for lag length in the maintained regression, and also extend the design of the simulation experiments compared to previous work. A second aspect of this study concerns the widespread practice in applied econometrics of using more than one test for the same feature without an assessment of the implications for the cumulative significance level and probability of test conflict. Tests for a unit root being are a leading example of this practice. Using the extended set of unit root tests considered here, the extent of test dependence is simulated and overall type one error calculated. Two empirical applications illustrate the key principles.

Suggested Citation

  • K. Patterson & Saeed Heravi, 2003. "Weighted symmetric tests for a unit root: response functions, power, test dependence and test conflict," Applied Economics, Taylor & Francis Journals, vol. 35(7), pages 779-790.
    • Handle: RePEc:taf:applec:v:35:y:2003:i:7:p:779-790
    DOI: 10.1080/0003684022000030372
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    References listed on IDEAS

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    Cited by:

    1. Steven Cook, 2007. "Further results on the detection of changes in persistence in linear time series," Applied Economics Letters, Taylor & Francis Journals, vol. 14(2), pages 145-150.

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