Total, Direct, and Indirect Effects in Logit and Probit Models  

Oleh:

Breen, Richard ; Karlson, Kristian Bernt ; Holm, Anders

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Sociological Methods & Research (SMR) vol. 42 no. 02 (May 2013), page 164-191.
Topik: Logit; Probit; Path Decomposition; KHB; Causal Effects
Fulltext: S28 v42 n2 2013 p164,win.pdf (298.42KB)

Isi artikel

This article presents a method for estimating and interpreting total, direct, and indirect effects in logit or probit models. The method extends the decomposition properties of linear models to these models; it closes the much-discussed gap between results based on the “difference in coefficients” method and the “product of coefficients” method in mediation analysis involving nonlinear probability models models; it reports effects measured on both the logit or probit scale and the probability scale; and it identifies causal mediation effects under the sequential ignorability assumption. We also show that while our method is computationally simpler than other methods, it always performs as well as, or better than, these methods. Further derivations suggest a hitherto unrecognized issue in identifying heterogeneous mediation effects in nonlinear probability models. We conclude the article with an application of our method to data from the National Educational Longitudinal Study of 1988.

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