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Markov Regime Switching and Unit-Root Tests

Bibliographic Data

ID19418690
AuthorsCharles R Nelson (0000-0001-7508-0859, University of Washington), Jeremy Piger (0000-0001-6592-9986, Federal Reserve Board of Governors), Eric Zivot (0009-0006-7455-9503, University of Washington)
Year2001
Volume19
Issue4
Pages404-415
Publication date2001-10-01
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1198/07350010152596655
OpenAlexW2157753544
LanguageEN
Citations received4
References cited32

We investigate the power and size performance of unit-root tests when the data undergo Markov regime switching. All tests, including those robust to a single break in trend growth rate, have low power against a process with a Markov-switching trend. Under the null hypothesis, we find that previously documented size distortions in Dickey–Fuller-type tests caused by a single break in trend growth rate or variance do not generalize to most parameterizations of Markov switching in trend or variance. However, Markov switching in variance can lead to overrejection in tests allowing for a single break the level of trend

Cointegration · Econometrics · Economics · Markov chain · Markov model · Markov process · Statistics · Structural break · Unit root · Unit root test · Financial Risk and Volatility Modeling · Mathematics · Monetary Policy and Economic Impact · Stochastic processes and financial applications

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Citations per year0.17
Citation span2003 - 2024 (22)
Highly citedNo

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