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On group comparisons with logistic regression models

Kuha, Jouni and Mills, Colin (2017) On group comparisons with logistic regression models. Sociological Methods and Research. ISSN 0049-1241 (In Press)

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It is widely believed that regression models for binary responses are problematic if we want to compare estimated coeffcients from models for different groups or with different explanatory variables. This concern has two forms. The first arises if the binary model is treated as an estimate of a model for an unobserved continuous response, and the second when models are compared between groups which have different distributions of other causes of the binary response. We argue that these concerns are usually misplaced. The first of them is only relevant if the unobserved continuous response is really the subject of substantive interest. If it is, the problem should be addressed through better measurement of this response. The second concern refers to a situation which is unavoidable but unproblematic, in that causal effects and descriptive associations are inherently group-dependent and can be compared as long as they are correctly estimated.

Item Type: Article
Official URL:
Additional Information: © 2017 The Authors
Subjects: H Social Sciences > HA Statistics
Sets: Departments > Methodology
Date Deposited: 04 Sep 2017 08:10
Last Modified: 25 Oct 2017 13:47

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