Cointegration Tests on MARS
Peter Sephton ()
Computational Economics, 1994, vol. 7, issue 1, 23-35
Abstract:
Multivariate adaptive regression spline (MARS) models due to Friedman (1991) are employed to examine non-linear cointegration. Critical values of the Dickey-Fuller cointegration test statistics, appropriate to the MARS model, are presented. Several empirical examples demonstrate the gains to the non-linear modelling of economic time series. Citation Copyright 1994 by Kluwer Academic Publishers.
Date: 1994
References: Add references at CitEc
Citations: View citations in EconPapers (16)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:kap:compec:v:7:y:1994:i:1:p:23-35
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2
Access Statistics for this article
Computational Economics is currently edited by Hans Amman
More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().