The measure is in the same spirit as Achen's (1982) "level importance" measure for linear models and thus fills an important gap in logit regression analysis. We show, on the basis of simulations and ...

Logistic regression models everything on the log odds scale (this is done using the logit function), which means taking the logarithm of the odds in each of the two explanatory groups and of the odds ...

Mixed logit (MXL) is a general discrete choice model thus far unexamined in the study of multicandidate and multiparty elections. Mixed logit assumes that the unobserved portions of utility are a ...