A Note on a Reformulation of the KHB Method

@article{Breen2018ANO,
  title={A Note on a Reformulation of the KHB Method},
  author={Richard Breen and Kristian Bernt Karlson and Anders Holm},
  journal={Sociological Methods \& Research},
  year={2018},
  volume={50},
  pages={901 - 912}
}
The Karlson–Holm–Breen (KHB) method has rapidly become popular as a way of separating the impact of confounding from rescaling when comparing conditional and unconditional parameter estimates in nonlinear probability models such as the logit and probit. In this note, we show that the same estimates can be obtained in a somewhat different way to that advanced by Karlson, Holm, and Breen in their original article and implemented in the user-written Stata command khb. While the KHB method and this… 

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References

SHOWING 1-6 OF 6 REFERENCES
Comparing Coefficients of Nested Nonlinear Probability Models
In a series of recent articles, Karlson, Holm, and Breen (Breen, Karlson, and Holm, 2011, http://papers.ssrn.com/sol3/papers.cfm?abstractid=1730065; Karlson and Holm, 2011, Research in Stratification
Comparing Regression Coefficients Between Same-sample Nested Models Using Logit and Probit
Logit and probit models are widely used in empirical sociological research. However, the common practice of comparing the coefficients of a given variable across differently specified models fitted
Total, Direct, and Indirect Effects in Logit and Probit Models
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
Interpreting and Understanding Logits, Probits, and Other Nonlinear Probability Models
Methods textbooks in sociology and other social sciences routinely recommend the use of the logit or probit model when an outcome variable is binary, an ordered logit or ordered probit when it is
M2 ¼ model 2
Note: Logit coefficients, percent mediated, and bootstrapped standard errors are in parentheses (500 replications)