A Note on a Reformulation of the KHB Method

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A Note on a Reformulation of the KHB Method. / Breen, Richard; Karlson, Kristian Bernt; Holm, Anders.

I: Sociological Methods & Research, 2020.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Breen, R, Karlson, KB & Holm, A 2020, 'A Note on a Reformulation of the KHB Method', Sociological Methods & Research. https://doi.org/10.1177/0049124118789717

APA

Breen, R., Karlson, K. B., & Holm, A. (2020). A Note on a Reformulation of the KHB Method. Sociological Methods & Research. https://doi.org/10.1177/0049124118789717

Vancouver

Breen R, Karlson KB, Holm A. A Note on a Reformulation of the KHB Method. Sociological Methods & Research. 2020. https://doi.org/10.1177/0049124118789717

Author

Breen, Richard ; Karlson, Kristian Bernt ; Holm, Anders. / A Note on a Reformulation of the KHB Method. I: Sociological Methods & Research. 2020.

Bibtex

@article{43a814915f864ba990e7527f266696a0,
title = "A Note on a Reformulation of the KHB Method",
abstract = "The KHB method has rapidly become popular as a way of separating theimpact of confounding from rescaling when comparing conditional andunconditional parameter estimates in non-linear probability models like the logitand probit. In this note we show that the same estimates can be obtained in asomewhat different way to that advanced by Karlson, Holm, and Breen (2012) intheir original article and implemented in the user-written Stata command khb.While the KHB method and this revised KHB method both work by holdingconstant the residual variance of the model, the revised method makescomparisons across multiple nested models easier than the original method.",
keywords = "Faculty of Social Sciences, nonlinear probability models, logit model, probit model, nested model comparisons, KHB method",
author = "Richard Breen and Karlson, {Kristian Bernt} and Anders Holm",
year = "2020",
doi = "10.1177/0049124118789717",
language = "English",
journal = "Sociological Methods & Research",
issn = "0049-1241",
publisher = "SAGE Publications",

}

RIS

TY - JOUR

T1 - A Note on a Reformulation of the KHB Method

AU - Breen, Richard

AU - Karlson, Kristian Bernt

AU - Holm, Anders

PY - 2020

Y1 - 2020

N2 - The KHB method has rapidly become popular as a way of separating theimpact of confounding from rescaling when comparing conditional andunconditional parameter estimates in non-linear probability models like the logitand probit. In this note we show that the same estimates can be obtained in asomewhat different way to that advanced by Karlson, Holm, and Breen (2012) intheir original article and implemented in the user-written Stata command khb.While the KHB method and this revised KHB method both work by holdingconstant the residual variance of the model, the revised method makescomparisons across multiple nested models easier than the original method.

AB - The KHB method has rapidly become popular as a way of separating theimpact of confounding from rescaling when comparing conditional andunconditional parameter estimates in non-linear probability models like the logitand probit. In this note we show that the same estimates can be obtained in asomewhat different way to that advanced by Karlson, Holm, and Breen (2012) intheir original article and implemented in the user-written Stata command khb.While the KHB method and this revised KHB method both work by holdingconstant the residual variance of the model, the revised method makescomparisons across multiple nested models easier than the original method.

KW - Faculty of Social Sciences

KW - nonlinear probability models

KW - logit model

KW - probit model

KW - nested model comparisons

KW - KHB method

U2 - 10.1177/0049124118789717

DO - 10.1177/0049124118789717

M3 - Journal article

JO - Sociological Methods & Research

JF - Sociological Methods & Research

SN - 0049-1241

ER -

ID: 197766713