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Cited by 870

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

A Stationarity Test in the Presence of an Unknown Number of Smooth Breaks

Open access
Becker, Ralf, Enders, Walter, Lee, Junsoo·2006·Journal of Time Series Analysis

Abstract

Abstract. Macroeconomic variables have been shown to display a wide variety of structural breaks of unknown number, duration and form. This poses a challenge since improperly modelled breaks can result in a seriously misspecified model. In this paper, we develop a new test for stationarity that approximates the unknown form of structural breaks using a selected frequency component from a Fourier approximation. Our proposed test performs quite well when breaks are gradual, and shows reasonable power. The appropriate use of the test is illustrated by examining real exchange rates in the post‐Bretton Woods period.

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Crossref · 10.1111/j.1467-9892.2006.00478.x

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Metadata

Authors
Becker, R., Enders, W., & Lee, J.
Venue
Journal of Time Series Analysis
Publisher
Wiley
Published
2006-03-23
Volume
27
Issue
3
Pages
381-409
ISSN
  • 0143-9782 (ISSN-L)
  • 1467-9892
OpenAlex
W2159548882
Cited by
870
References
18
FWCI
6.06
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: A Stationarity Test in the Presence of an Unknown Number of Smooth Breaks. https://app.cochat.ai/papers/10.1111/j.1467-9892.2006.00478.x
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Becker, R., Enders, W., & Lee, J. (2006). A Stationarity Test in the Presence of an Unknown Number of Smooth Breaks. Journal of Time Series Analysis. https://doi.org/10.1111/j.1467-9892.2006.00478.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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