Direct and indirect effects in a logit model
Maarten L. Buis
Department of Sociology
Tübingen University
Tübingen, Germany
maarten.buis@uni-tuebingen.de
|
Abstract. In this article, I discuss a method by Erikson et al. (2005, Proceedings
of the National Academy of Science 102: 9730–9733) for decomposing
a total effect in a logit model into direct and indirect effects. Moreover,
I extend this method in three ways. First, in the original method the
variable through which the indirect effect occurs is assumed to be normally
distributed. In this article, the method is generalized by allowing this
variable to have any distribution. Second, the original method did not
provide standard errors for the estimates. In this article, the bootstrap is
proposed as a method of providing those. Third, I show how to include
control variables in this decomposition, which was not allowed in the
original method. The original method and these extensions are implemented in
the ldecomp command.
View all articles by this author:
Maarten L. Buis
View all articles with these keywords:
ldecomp, mediation, intervening variable, logit, direct effect, indirect effect
Download citation: BibTeX RIS
Download citation and abstract: BibTeX RIS
Contact StataCorp
Contact service@stata-journal.com
if you have questions about the Stata Journal.
© Copyright 2001–2010 StataCorp LP. Terms of use. Privacy notice.
|
