The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Comparing Logit and Probit Coefficients Across Groups
Abstract
In logit and probit regression analysis, a common practice is to estimate separate models for two or more groups and then compare coefficients across groups. An equivalent method is to test for interactions between particular predictors and dummy (indicator) variables representing the groups. Both methods may lead to invalid conclusions if residual variation differs across groups. New tests are proposed that adjust for unequal residual variation.
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Cites
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Cited by
Logistic Regression: Why We Cannot Do What We Think We Can Do, and What We Can Do About It
Mood, C. (2010) · European Sociological Review · doi:10.1093/esr/jcp006 · Cited by 3,158
Hoffman, K. M., Trawalter, S., Axt, J. R., & Oliver, M. N. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1516047113 · Cited by 2,486
The use of logit and probit models in strategic management research: Critical issues
Hoetker, G. (2007) · Strategic Management Journal · doi:10.1002/smj.582 · Cited by 1,519
Pescosolido, B. A., Martin, J. K., Long, J. S., Medina, T. R., Phelan, J. C., & Link, B. G. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.09121743 · Cited by 1,262
Karlson, K. B., Holm, A., & Breen, R. (2012) · Sociological Methodology · doi:10.1177/0081175012444861 · Cited by 1,204
Metadata
- Authors
- ALLISON, P. D.
- Venue
- Sociological Methods & Research
- Publisher
- SAGE Publications
- Published
- 1999-11
- Volume
- 28
- Issue
- 2
- Pages
- 186-208
- ISSN
- 0049-1241 (ISSN-L)
- 1552-8294
- OpenAlex
- W2026741377
- Cited by
- 1,047
- References
- 18
- FWCI
- 3.26
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
