This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

An Application of Cox's Non-Nested Test to trinomial Logit and Probit Models

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Monfardini, C.

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

Abstract

The Cox statistic for non nested models is used to test the probit and logit specifications estimated by Bardasi and Monfardini (1997) for the occupational choice of the Italian workers among the private, the public and the self-employed options. Computation of different versions of test is performed, some of which rely on simulation of the pseudo-true value. The bootstrap technique is then applied to control for the actual properties of the test. The results of the testing procedure indicate the probit as the more adequate model, supporting previous evidence found against the IIA assumption imposed by the logit formulation.

Download Info
To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Publisher Info
Paper provided by European University Institute in its series Economics Working Papers with number eco97/20.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 32 pages
Date of creation: 1997
Date of revision:
Handle: RePEc:eui:euiwps:eco97/20

Contact details of provider:
Postal: Badia Fiesolana, Via dei Roccettini, 9, 50016 San Domenico di Fiesole (FI) Italy
Phone: +39-055-4685.982
Fax: +39-055-4685.902
Web page: http://www.eui.eu/ECO/
More information through EDIRC

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

Related research
Keywords: ECONOMETRICS ; STATISTICS;

Find related papers by JEL classification:
C63 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computational Techniques
C00 - Mathematical and Quantitative Methods - - General - - - General

Statistics
Access and download statistics

Did you know? All full texts are decentralized with the publishers, none reside on this server, thus making it possible to offer this service for free to all parties.

This page was last updated on 2009-12-11.


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.