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The Effects of Additive Outliers on Tests for Unit Roots and Cointegration

Bibliographic Data

ID19419647
AuthorsPhilip Hans Franses (0000-0002-2364-7777, Erasmus University Rotterdam), Niels Haldrup (0000-0003-0207-8234, Aarhus University)
Year1994
Volume12
Issue4
Pages471-478
Publication date1994-10-01
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/07350015.1994.10524569
OpenAlexW2066888340
LanguageEN
Citations received14
References cited23

This article discusses the properties of the univariate Dickey–Fuller test and the Johansen test for the cointegrating rank when there exist additive outlying observations in the time series. We provide analytical as well as numerical evidence that additive outliers may produce spurious stationary. Hence the Dickey–Fuller test will reject a unit root too frequently and the Johansen test will indicate too many cointegrating vectors. The results easily generalize to models with “temporary change” outliers. Through an empirical example we discuss how additive and temporary change outliers can be detected in practice, and we show how dummy variables can be used to remove the influence of such extreme observations

Augmented Dickey–Fuller test · Biology · Cointegration · Combinatorics · Econometrics · Error correction model · Johansen test · Multivariate statistics · Outlier · Spurious relationship · Statistics · Unit root · Unit root test · Univariate · Financial Risk and Volatility Modeling · Market Dynamics and Volatility · Mathematics · Monetary Policy and Economic Impact

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Citations per year0.44
Citation span1994 - 2023 (30)
Highly citedNo

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