EconPapers    
Economics at your fingertips  
 

Testing Linear versus Logarithmic Regression Models: A Comment

Neil Ericsson

The Review of Economic Studies, 1982, vol. 49, issue 3, 477-481

Abstract: In a recent article, Aneuryn-Evans and Deaton propose asymptotic formulae for analysing Monte Carlo studies of the Cox statistics for testing non-nested hypotheses. This note shows the invalidity of those formulae by demonstrating that, in general, the Cox statistics do not have a singular joint asymptotic distribution.

Date: 1982
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.2307/2297371 (application/pdf)
Access to full text is restricted to subscribers.

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:oup:restud:v:49:y:1982:i:3:p:477-481.

Access Statistics for this article

The Review of Economic Studies is currently edited by Thomas Chaney, Xavier d’Haultfoeuille, Andrea Galeotti, Bård Harstad, Nir Jaimovich, Katrine Loken, Elias Papaioannou, Vincent Sterk and Noam Yuchtman

More articles in The Review of Economic Studies from Review of Economic Studies Ltd
Bibliographic data for series maintained by Oxford University Press ().

 
Page updated 2025-03-19
Handle: RePEc:oup:restud:v:49:y:1982:i:3:p:477-481.