Journal article
A note on a reformulation of the KHB method
- Abstract:
- 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Accepted manuscript, pdf, 537.4KB, Terms of use)
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- Publisher copy:
- 10.1177/0049124118789717
Authors
- Publisher:
- SAGE Publications
- Journal:
- Sociological Methods and Research More from this journal
- Volume:
- 50
- Issue:
- 2
- Pages:
- 901-912
- Publication date:
- 2018-08-01
- Acceptance date:
- 2018-08-01
- DOI:
- EISSN:
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1552-8294
- ISSN:
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0049-1241
- Keywords:
- Pubs id:
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pubs:896699
- UUID:
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uuid:3522f94e-dd91-4d35-bc5c-446d8379e8e3
- Local pid:
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pubs:896699
- Source identifiers:
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896699
- Deposit date:
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2019-04-24
- ARK identifier:
Terms of use
- Copyright holder:
- Breen et al.
- Copyright date:
- 2018
- Rights statement:
- Copyright The Author(s) 2018.
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from SAGE Publications at: https://doi.org/10.1177/0049124118789717
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