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 ...

The multinomial logit model in the context of the Luce choice axiom implies that the logarithm of the ratio of choice probabilities (the log odds ratio) of two objects depends only on the attributes ...

For blacks, the logit model and matching estimators also produce roughly comparable results. In neither case is the difference between high poverty and moderate poverty meaningful. For the comparison ...