Outliers in Nonstationary Time Series
Wai-Sum Chan ()
Additional contact information
Wai-Sum Chan: The Chinese University of Hong Kong
Journal of Quantitative Economics, 2006, vol. 4, issue 2, No 7, 75-83
Abstract:
Abstract In this paper we investigate the limiting effects of additive outliers on model specification of nonstationary time series. Monte Carlo results show that even a small outlier could create significant spurious sample autocorrelations and partial autocorrelations which might lead to erroneous model specification.
Keywords: Additive outliers; Model specification; Seasonal ARIMA models; Spurious autocorrelations; C22; C51 (search for similar items in EconPapers)
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/BF03546449 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:jqecon:v:4:y:2006:i:2:d:10.1007_bf03546449
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/40953
DOI: 10.1007/BF03546449
Access Statistics for this article
Journal of Quantitative Economics is currently edited by Dilip Nachane and P.G. Babu
More articles in Journal of Quantitative Economics from Springer, The Indian Econometric Society (TIES) Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().