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Using Predictions and Marginal Effects to Compare Groups in Regression Models for Binary Outcomes.
- Source :
-
Sociological Methods & Research . Aug2021, Vol. 50 Issue 3, p1284-1320. 37p. - Publication Year :
- 2021
-
Abstract
- Methods for group comparisons using predicted probabilities and marginal effects on probabilities are developed for regression models for binary outcomes. Unlike approaches based on the comparison of regression coefficients across groups, the methods we propose are unaffected by the scalar identification of the coefficients and are expressed in the natural metric of the outcome probability. While we develop our approach using binary logit with two groups, we consider how our interpretive framework can be used with a broad class of regression models and can be extended to any number of groups. [ABSTRACT FROM AUTHOR]
- Subjects :
- *LOGITS
*REGRESSION analysis
*FORECASTING
*PROBABILITY theory
Subjects
Details
- Language :
- English
- ISSN :
- 00491241
- Volume :
- 50
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Sociological Methods & Research
- Publication Type :
- Academic Journal
- Accession number :
- 151628611
- Full Text :
- https://doi.org/10.1177/0049124118799374