Regression Models

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 the authors propose are unaffected by the scalar identification of the coefficients and are expressed in the natural metric of the outcome probability.