Robust critical values for unit root tests for series with conditional heteroscedasticity errors: An application of the simple NoVaS transformation

Panagiotis Mantalos

No 2012:2, Working Papers from Örebro University, School of Business

Abstract: In this paper, we introduce a set of critical values for unit root tests that are robust in the presence of conditional heteroscedasticity errors using the normalizing and variance-stabilizing transformation (NoVaS) in Politis (2007) and examine their properties using Monte Carlo methods. In terms of the size of the test, our analysis reveals that unit root tests with NoVaS-modified critical values have actual sizes close to the nominal size. For the power of the test, we find that unit root tests with NoVaS-modified critical values either have the same power as, or slightly better than, tests using conventional Dickey–Fuller critical values across the sample range considered.

Keywords: Critical values; normalizing and variance-stabilizing transformation; unit root tests (search for similar items in EconPapers)
JEL-codes: C01 C12 C15 (search for similar items in EconPapers)
Pages: 24 pages
Date: 2012-02-02
New Economics Papers: this item is included in nep-ecm and nep-ets
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Journal Article: Robust critical values for unit root tests for series with conditional heteroscedasticity errors: An application of the simple NoVaS transformation (2017)
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