A Note on a Reformulation of the KHB Method

TY - JOUR

T1 - A Note on a Reformulation of the KHB Method

AU - Breen, Richard

AU - Karlson, Kristian Bernt

AU - Holm, Anders

PY - 2021/5

Y1 - 2021/5

N2 - 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 revised KHB method both work by holding constant the residual variance of the model, the revised method makes comparisons across multiple nested models easier than the original method.

AB - 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 revised KHB method both work by holding constant the residual variance of the model, the revised method makes comparisons across multiple nested models easier than the original method.

U2 - https://doi.org/10.1177/0049124118789717

DO - https://doi.org/10.1177/0049124118789717

M3 - Journal article

SN - 0049-1241

JO - Sociological Methods and Research

JF - Sociological Methods and Research

ER -