This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Seasonal Nonlinear Long Memory Model for the US Inflation Rates

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Ahdi Ajmi ()
Adnen Ben Nasr ()
Mohamed Boutahar ()

Additional information is available for the following registered author(s):

Abstract

No abstract is available for this item.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://hdl.handle.net/10.1007/s10614-007-9116-0
File Format: text/html
File Function:
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info
Article provided by Springer in its journal Computational Economics.

Volume (Year): 31 (2008)
Issue (Month): 3 (April)
Pages: 243-254
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:kap:compec:v:31:y:2008:i:3:p:243-254

Contact details of provider:
Web page: http://www.springerlink.com/link.asp?id=100248

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords: Long memory; Seasonality; Smooth transition autoregression; C22; C51; E31;

Other versions of this item:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Jeffrey A. Miron & J. Joseph Beaulieu, 1995. "What Have Macroeconomists Learned about Business Cycles from the Study of Seasonal Cycles?," NBER Working Papers 5258, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  2. Franses, Ph.H.B.F. & Bruin, P. de & Dijk, D.J.C. van, 2000. "Seasonal smooth transition autoregression," Econometric Institute Report EI 2000-06/A Revision_Dat, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
  3. Martin D.D. Evans & Karen K. Lewis, 1993. "Do Expected Shifts in Inflation Affect Estimates of the Long-Run Fisher Relation?," Working Papers 93-06, New York University, Leonard N. Stern School of Business, Department of Economics.
    Other versions:
  4. Franses, Philip Hans & Paap, Richard, 1999. "Does Seasonality Influence the Dating of Business Cycle Turning Points?," Journal of Macroeconomics, Elsevier, vol. 21(1), pages 79-92, January. [Downloadable!] (restricted)
  5. Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, vol. 73(1), pages 5-59, July. [Downloadable!] (restricted)
  6. Eitrheim, Oyvind & Terasvirta, Timo, 1996. "Testing the adequacy of smooth transition autoregressive models," Journal of Econometrics, Elsevier, vol. 74(1), pages 59-75, September. [Downloadable!] (restricted)
    Other versions:
  7. Canova, Fabio & Ghysels, Eric, 1994. "Changes in seasonal patterns : Are they cyclical?," Journal of Economic Dynamics and Control, Elsevier, vol. 18(6), pages 1143-1171, November. [Downloadable!] (restricted)
    Other versions:
  8. Dick van Dijk 1 & Birgit Strikholm & Timo Teräsvirta, 2003. "The effects of institutional and technological change and business cycle fluctuations on seasonal patterns in quarterly industrial production series," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 79-98, 06. [Downloadable!] (restricted)
    Other versions:
  9. Hassler, Uwe & Wolters, Jurgen, 1995. "Long Memory in Inflation Rates: International Evidence," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 37-45, January.
  10. Franses, Philip Hans & Ooms, Marius, 1997. "A periodic long-memory model for quarterly UK inflation," International Journal of Forecasting, Elsevier, vol. 13(1), pages 117-126, March. [Downloadable!] (restricted)
  11. N. Hyung & P.F. Franses, 2002. "Inflation rates," Econometric Institute Report 261, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
  12. Anders Warne & Anders Vredin, 2006. "Unemployment and Inflation Regimes," Studies in Nonlinear Dynamics & Econometrics, Berkeley Electronic Press, vol. 10(2). [Downloadable!]
  13. Mohamed Safouane Ben Aïssa & Mohamed Boutahar & Jamel Jouini, 2004. "Bai and Perron's and spectral density methods for structural change detection in the US inflation process," Applied Economics Letters, Taylor and Francis Journals, vol. 11(2), pages 109-115, February. [Downloadable!] (restricted)
  14. P.H.B.F. Franses & P. de Bruin & D.J.C. van Dijk, 2000. "Seasonal smooth transition autoregression," Econometric Institute Report 185, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
  15. Garcia, Rene & Perron, Pierre, 1996. "An Analysis of the Real Interest Rate under Regime Shifts," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 111-25, February. [Downloadable!] (restricted)
    Other versions:
Full references

Statistics
Access and download statistics

Did you know? It is the publishers that input data about their publications, as there is no staff at RePEc.

This page was last updated on 2009-12-10.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.