Bootstrap Unit‐Root Tests: Comparison and Extensions

In this article, we study and compare the properties of several bootstrap unit-root tests recently proposed in the literature. The tests are Dickey-Fuller (DF) or Augmented DF, based either on residuals from an autoregression and the use of the block bootstrap or on first-differenced data and the use of the stationary bootstrap or sieve bootstrap. We extend the analysis by interchanging the data transformations (differences vs. residuals), the types of bootstrap and the presence or absence of a correction for autocorrelation in the tests. Copyright 2008 The Authors

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