Non-Linear Models: Where Do We Go Next - Time Varying Parameter Models?
Clive Granger
Studies in Nonlinear Dynamics & Econometrics, 2008, vol. 12, issue 3, 11
Abstract:
Although linear models have been the central focus of econometrics for most of the twentieth century, great developments in non-linear models took place from the latter part of the century. This paper questions the future development of non-linear models in economics and shows (via White's Theorem) that any non-linear model can be approximated by a time-varying parameter linear model. Compared with non-linear models, multi-step forecasts are more easily prepared using time-varying parameter models, while they are also more readily interpretable and theoretical results on aggregation are straightforward to obtain. Nevertheless, there is some evidence that subtle non-linearities may exist in macroeconomic time series.
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (116)
Downloads: (external link)
https://doi.org/10.2202/1558-3708.1639 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
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:bpj:sndecm:v:12:y:2008:i:3:n:1
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/snde/html
DOI: 10.2202/1558-3708.1639
Access Statistics for this article
Studies in Nonlinear Dynamics & Econometrics is currently edited by Bruce Mizrach
More articles in Studies in Nonlinear Dynamics & Econometrics from De Gruyter
Bibliographic data for series maintained by Peter Golla ().