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On the importance of the first observation in GLS detrending in unit root testing

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  • Westerlund, J.

Abstract

type="main" xml:id="obes12050-abs-0001"> First-differencing is generally taken to imply the loss of one observation, the first, or at least that the effect of ignoring this observation is asymptotically negligible. However, this is not always true, as in the case of generalized least squares (GLS) detrending. In order to illustrate this, the current article considers as an example the use of GLS detrended data when testing for a unit root. The results show that the treatment of the first observation is absolutely crucial for test performance, and that ignorance causes test break-down.
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Suggested Citation

  • Westerlund, J., 2014. "On the importance of the first observation in GLS detrending in unit root testing," Working Papers fe_2014_07, Deakin University, Department of Economics.
    • Handle: RePEc:dkn:ecomet:fe_2014_07
    DOI: 10.1111/obes.12050
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    Cited by:

    1. Cláudia Duarte, 2015. "Covariate-augmented unit root tests with mixed-frequency data," Working Papers w201507, Banco de Portugal, Economics and Research Department.
    2. Skrobotov, Anton (Скроботов, Антон) & Turuntseva, Marina (Турунцева, Марина), 2017. "Testing the Hypothesis of a Unit Root for Independent Panels [Тестирование Гипотезы О Наличии Единичного Корня Для Независимых Панелей]," Working Papers 021707, Russian Presidential Academy of National Economy and Public Administration.

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    Keywords

    Unit root test; GLS detrending; Local asymptotic power;
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