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! ]

A simple nonlinear time series model with misleading linear properties

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Granger, Clive W.J. () (University of California, San Diego. Mailing address:)
Teräsvirta, Timo () (Dept. of Economic Statistics, Stockholm School of Economics)

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

Abstract

This paper shows how a simple univariate stationary nonlinear process has an autocorrelation function suggesting that the underlying process has a long memory, although that is not the case. The conclusion is that just considering linear properties of a process may be misleading.

Download Info
To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Publisher Info
Paper provided by Stockholm School of Economics in its series Working Paper Series in Economics and Finance with number 237.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 5 pages
Date of creation: 01 Jun 1998
Date of revision:
Publication status: Published in Economics Letters, 1999, pages 161-165.
Handle: RePEc:hhs:hastef:0237

Contact details of provider:
Postal: The Economic Research Institute, Stockholm School of Economics, P.O. Box 6501, 113 83 Stockholm, Sweden
Phone: +46-(0)8-736 90 00
Fax: +46-(0)8-31 01 57
Email:
Web page: http://www.hhs.se/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Helena Lundin).

Related research
Keywords: Autocorrelation; long memory; nonlinear time series; switching autoregression;

Other versions of this item:

Find related papers by JEL classification:
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions

This paper has been announced in the following NEP Reports:

Cited by:
(explanations, 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.)
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page.
Statistics
Access and download statistics

Did you know? IDEAS also computes impact factors for journals and working paper series.

This page was last updated on 2009-11-3.


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.