- The multinomial logit regression models (estimated by mlogit in Stata), coefficients that are exponentiated are mainly relative risks ratios and NOT ratios of the odds. It's only true under the...
- The multinomial logit (MNL) model is often used to mathematically represent a consumer's choice among a set of J alternatives as a function of the attributes of the J alternatives. The key thing about the logit is ease of computation. This article ( Multinomial logistic regression.
- Different links g lead to multinomial logit or multinomial probit models. These are more general than the ordered response models, and more parameters are estimated. Count data. Another example of generalized linear models includes Poisson regression which models count data using the Poisson distribution. The link is typically the logarithm ...
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