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Detrending Bootstrap Unit Root Tests

  • Smeekes Stephan

    (METEOR)

The role of detrending in bootstrap unit root tests is investigated. When bootstrapping, detrending must not only be done for the construction of the test statistic, but also in the first step of the bootstrap algorithm. It is argued that the two points should be treated separately. Asymptotic validity of sieve bootstrap ADF unit root tests is shown for test statistics based on full sample and recursive OLS and GLS detrending. It is also shown that the detrending method in the first step of the bootstrap may differ from the one used in the construction of the test statistic. A simulation study is conducted to analyze the effects of detrending on finite sample performance of the bootstrap test. It is found that full sample detrending should be preferred in the first step of the bootstrap algorithm and that the decision about the detrending method used to obtain the test statistic should be based on the power properties of the corresponding asymptotic tests.

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Paper provided by Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR) in its series Research Memorandum with number 056.

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Date of creation: 2009
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Handle: RePEc:unm:umamet:2009056
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  6. Palm Franz C. & Smeekes Stephan & Urbain Jean-Pierre, 2007. "A Sieve Bootstrap Test for Cointegration in a Conditional Error Correction Model," Research Memorandum 054, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
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