Testing of seasonal fractional integration in UK and Japanese consumption and income
Luis Gil-Alana and
Peter M. Robinson
LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library
Abstract:
The seasonal structure of quarterly UK and Japanese consumption and income is examined by means of fractionally-based tests proposed by Robinson (1994). These series were analysed from an autoregressive unit root viewpoint by Hylleberg, Engle, Granger and Yoo (HEGY, 1990) and Hylleberg, Engle, Granger and Lee (HEGL, 1993). We find that seasonal fractional integration, with amplitudes possibly varying across frequencies, is an alternative plausible way of modelling these series.
Keywords: Fractional integration; nonstationarity; seasonality (search for similar items in EconPapers)
JEL-codes: C22 (search for similar items in EconPapers)
Pages: 32 pages
Date: 2000-11
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://eprints.lse.ac.uk/2051/ Open access version. (application/pdf)
Related works:
Journal Article: Testing of seasonal fractional integration in UK and Japanese consumption and income (2001) 
Working Paper: Testing of seasonal fractional integration in UK and Japanese consumption and income (2001) 
Working Paper: Testing of Seasonal Fractional Integration in UK and Japanese Consumption and Income (2000) 
Working Paper: Testing of Seasonal Fractional Integration in U.K. and Japanese Consumption and Income (1998)
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:ehl:lserod:2051
Access Statistics for this paper
More papers in LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library LSE Library Portugal Street London, WC2A 2HD, U.K.. Contact information at EDIRC.
Bibliographic data for series maintained by LSERO Manager ().