EconPapers    
Economics at your fingertips  
 

The Moving-Estimates Test for Parameter Stability

Chu, Chia-Shang James, Kurt Hornik and Chung-Ming Kuan ()

Econometric Theory, 1995, vol. 11, issue 04, pages 699-720

Abstract: In this paper a new class of tests for parameter stability, the moving-estimates (ME) test, is proposed. It is shown that in the standard situation the ME test asymptotically equivalent to the maximal likelihood ratio test under the alternative of a temporary parameter shift. It is also shown that the asymptotic null distribution of the ME test is determined by the increments of a vector Brownian bridge and that under a broad class of alternatives the ME test is consistent and has nontrivial local power in general. Our simulations also demonstrate that the proposed test has power superior to other competing tests when parameters are temporarily instable.

Date: 1995
View citations in EconPapers

Downloads: (external link)
http://journals.cambridge.org/abstract_S0266466600009695 link to article abstract page (text/html)

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: http://EconPapers.repec.org/RePEc:cup:etheor:v:11:y:1995:i:04:p:699-720_00

Access Statistics for this article

More articles in Econometric Theory from Cambridge University Press
Address: The Edinburgh Building, Shaftesbury Road, Cambridge CB2 2RU UK
Series data maintained by Mike Eden ().

 
Page updated 2009-12-02
Handle: RePEc:cup:etheor:v:11:y:1995:i:04:p:699-720_00