Direct and indirect effects in a logit model
Maarten L. Buis
Department of Sociology
Tübingen University
Tübingen, Germany
[email protected]
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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.
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Maarten L. Buis
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ldecomp, mediation, intervening variable, logit, direct effect, indirect effect
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