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Cited by 240

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

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Franses, Philip Hans, Haldrup, Niels·1994·Journal of Business & Economic Statistics

Abstract

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.

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Crossref · 10.1080/07350015.1994.10524569

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Metadata

Authors
Franses, P. H., & Haldrup, N.
Venue
Journal of Business & Economic Statistics
Published
1994-10
Volume
12
Issue
4
Pages
471-478
ISSN
  • 0735-0015 (ISSN-L)
  • 1537-2707
OpenAlex
W2066888340
Cited by
240
References
1
FWCI
14.96
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Effects of Additive Outliers on Tests for Unit Roots and Cointegration. https://app.cochat.ai/papers/10.1080/07350015.1994.10524569
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Franses, P. H., & Haldrup, N. (1994). The Effects of Additive Outliers on Tests for Unit Roots and Cointegration. Journal of Business & Economic Statistics. https://doi.org/10.1080/07350015.1994.10524569

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.