Skip to main content

Blinder-Oaxaca decomposition for Tobit models

Buy Article:

$51.63 plus tax (Refund Policy)

Abstract:

In this article, a decomposition method for Tobit models is derived, which allows the differences in observed outcome variables between two groups to be decomposed into a part that is explained by differences in observed characteristics and a part attributable to differences in the estimated coefficients. Monte Carlo simulations demonstrate that in the case of censored dependent variables this decomposition method produces more reliable results than the conventional Blinder-Oaxaca decomposition for linear regression models. Finally, our method is applied to a decomposition of the gender wage gap using German data.

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/00036840701721612

Affiliations: 1: RWI Essen, Essen, 45128, Germany,Ruhr-University Bochum, Bochum, Germany,IZA Bonn, Bonn, Germany,CEPR London, London, UK 2: RWI Essen, Essen, 45128, Germany,IZA Bonn, Bonn, Germany

Publication date: May 1, 2010

More about this publication?
routledg/raef/2010/00000042/00000012/art00008
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more