Data mining with local model specification uncertainty: a discussion of Hoover and Perez
Clive Granger and
Allan Timmermann
Econometrics Journal, 1999, vol. 2, issue 2, 220-225
Abstract:
Hoover and Perez?s results show that the general-to-specific approach performs well if the search for a linear and stable model specification is conducted in a local neighborhood around the truth. However, non-linearities, outliers, parameter instability and the absence of even approximate knowledge of the true data generating process means that in practice this approach is unlikely to perform up to the standards reported in the papers.
Keywords: Specification search; General-to-specific. (search for similar items in EconPapers)
Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (11)
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:ect:emjrnl:v:2:y:1999:i:2:p:220-225
Ordering information: This journal article can be ordered from
http://www.ectj.org
Access Statistics for this article
Econometrics Journal is currently edited by Richard J. Smith, Oliver Linton, Pierre Perron, Jaap Abbring and Marius Ooms
More articles in Econometrics Journal from Royal Economic Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley-Blackwell Digital Licensing () and Christopher F. Baum ().