The zero-information-limit condition and spurious inference in weakly identified models

This file is part of IDEAS, which uses RePEc data

The zero-information-limit condition and spurious inference in weakly identified models

Author Info

Nelson, Charles R.
Startz, Richard

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

Richard Startz

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.

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 Elsevier in its journal Journal of Econometrics.

Volume (Year): 138 (2007)
Issue (Month): 1 (May)
Pages: 47-62
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:eee:econom:v:138:y:2007:i:1:p:47-62

Contact details of provider:
Web page: http://www.elsevier.com/locate/jeconom

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

Related research
Keywords:

Other versions of this item:

Paper
- Charles Nelson & Richard Startz, 2004. "The Zero-Information-Limit Condition and Spurious Inference in Weakly Identified Models," Working Papers UWEC-2004-03-FC, University of Washington, Department of Economics. [Downloadable!]
- Charles Nelson & Richard Startz, 2007. "The Zero-Information-Limit-Condition and Spurious Inference in Weakly Identified Models," Working Papers UWEC-2006-07-P, University of Washington, Department of Economics. [Downloadable!]

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.)

Jun Ma & Charles R. Nelson, 2008. "Valid Inference for a Class of Models Where Standard Inference Performs Poorly: Including Nonlinear Regression, ARMA, GARCH, and Unobserved Components," Working Papers UWEC-2008-06-R, University of Washington, Department of Economics, revised Sep 2008. [Downloadable!]
repec:bep:sndecm:11:2007:1:1434-1434 is not listed on IDEAS
Other versions:
- Jun Ma & Charles Nelson & Richard Startz, 2007. "Spurious Inference in the GARCH(1,1) Model When It Is Weakly Identified," Working Papers UWEC-2006-14-P, University of Washington, Department of Economics, revised Mar 2007. [Downloadable!]
- Jun Ma & Charles R. Nelson & Richard Startz, 2007. "Spurious Inference in the GARCH (1,1) Model When It Is Weakly Identified," Studies in Nonlinear Dynamics & Econometrics, Berkeley Electronic Press, vol. 11(1). [Downloadable!]

Statistics

Access and download statistics

Did you know? RePEc also has a blog.

This page was last updated on 2009-11-13.

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.