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 …

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 …

Models that rely on the assumption of simple scalability have dominated multiattribute
choice and preference modeling for almost 20 years, despite the fact that simple scalability …

A computationally attractive model for the analysis of conjoint choice experiments is the
mixed multinomial logit model, a multinomial logit model in which it is assumed that the …

Multinomial logit (MNL) models are widely used in marketing research to analyze choice
data, but it is not generally recognized that the unit of the utility scale in a MNL model is …

The mixed logit model is considered to be the most promising state of the art discrete choice
model currently available. Increasingly researchers and practitioners are estimating mixed …

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

Commonly used discrete choice model analyses (eg, probit, logit and multinomial logit
models) draw on the estimation of importance weights that apply to different attribute levels …

The authors argue that for the cross-sectional multiattribute approach to choice modeling,
the multinomial logit is theoretically and empirically superior to the more commonly used …

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 …