Over the past two decades, validation of choice models has focused on predictive validity
rather than parameter bias. In real-world validation of choice models, true parameter values …

Random coefficients choice models are seeing widespread adoption in marketing research,
partly because of their ability to generate household-level parameter estimates with limited …

In assessing the performance of a choice model, we have to answer the
question,“Compared with what?” Analyses of consumer brand choice data historically have …

Although probabilistic discrete-choice models such as multinomial logit are widely used,
little consideration has been given to the appropriateness of the assumption of a …

Multinomial logit choice models based on latent class (LC) or HB methods are utilized in
marketing research today along with simulators which predict choices and market shares …

Probabilistic discrete-choice models, such as multinomial logit models, are widely used to
predict changes in market shares or total demand resulting from changes in policy variables …

Currently, there is an important debate about the relative merits of models with discrete and
continuous representations of consumer heterogeneity. In a recent JMR study,; hereafter …

This report shows you how to use the multinomial logit model (Manski and McFadden, 1981;
Louviere and Woodworth, 1983) to investigate consumer's stated choices. The multinomial …

The mixed or heterogeneous multinomial logit (MIXL) model has become popular in a
number of fields, especially marketing, health economics, and industrial organization. In …

Multinomial logit models are used to model relationships between a polytomous response
variable and a set of regressor variables. The term “multinomial logit model” includes, in a …