This is a preview. Log in through your library . Abstract This paper presents methods for computing aggregate change in probabilities of a binary dependent variable from changes in distributions of ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

Logit and probit, the two most common techniques for estimation of models with a dichotomous dependent variable, impose the assumption that individuals with a probability of .5 of choosing either of ...