Direct and indirect effects in a logit model
Direct and indirect effects in a logit model
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DOI：
10.1177/1536867x1001000104
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发表时间：
2010-01-01
期刊：
影响因子：
4.8
通讯作者：
Buis, Maarten L.
中科院分区：
文献类型：
--
作者：
Buis, Maarten L.
在这篇文章中，我讨论了Erikson等人（2005，Proceedings of the National Academy of Science 102：9730-9733）将logit模型中的总效应分解为直接效应和间接效应的方法。此外，我从三个方面扩展了这个方法。首先，在原始方法中，发生间接影响的变量被假设为正态分布。在本文中，通过允许该变量具有任何分布来推广该方法。其次，原始方法没有提供估计的标准误差。在这篇文章中，引导被提出作为提供这些的方法。第三，我展示了如何在这个分解中包含控制变量，这在原始方法中是不允许的。原始方法和这些扩展在ldecomp命令中实现。
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.