Optimal discrete prediction in parametric binary response models

The paper demonstrates that one's choice of threshold for post-estimation prediction in the conventional parametric binary response regression model is not arbitrary. Under the minimum mean-squared discrete prediction error criterion, the optimal threshold is shown to be 1 / 2.