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On Combining Evidence from Heteroskedasticity Robust Panel Unit Root Tests in Pooled Regressions

Martin C. Arnold () and Christoph Hanck
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Martin C. Arnold: Faculty of Economics and Business Administration, University of Duisburg-Essen, 45141 Essen, Germany
Christoph Hanck: Faculty of Economics and Business Administration, University of Duisburg-Essen, 45141 Essen, Germany

Journal of Risk and Financial Management, 2019, vol. 12, issue 3, 1-22

Abstract: Volatility break robust panel unit root tests (PURTs) recently proposed by Herwartz and Siedenburg (Computational Statistics & Data Analysis 2008, 53, 137–150) and Demetrescu and Hanck (Econometrics Letters 2012, 117, 10–13) have different performances under both the null and local alternatives. Common practice in empirical research is to apply multiple tests if none is uniformly superior. We show that this approach tends to produce contradictory evidence for the tests considered, making it unclear whether to reject the null. To address this problem, we advocate a combined testing procedure. Simulation evidence shows that the combined test has good size control and closely tracks the more powerful test. An empirical application reinvestigates whether there is a unit root in OECD inflation rates. We find evidence that inflation is stationary for long observation periods, but we cannot reject nonstationarity in most subsets of countries for the last three decades.

Keywords: panel unit root; inflation; nonstationary volatility; multiple testing (search for similar items in EconPapers)
JEL-codes: C E F2 F3 G (search for similar items in EconPapers)
Date: 2019
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