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

When modeling demand for differentiated products, it is vital to adequately capture
consumer taste heterogeneity, But there is no clearly preferred approach. Here, we compare …

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 …

We offer a framework to specify and estimate various sources of heterogeneity in
multinomial logit brand choice models. We let each brand-specific intercept and each …

We offer a framework to specify and estimate various sources of heterogeneity in
multinomial logit brand choice models. We let each brand-specific intercept and each …

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 paper examines sources of correlation among utility coefficients in models allowing for
random heterogeneity, including correlation that is induced by random scale heterogeneity …

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 …

The random coefficients multinomial choice logit model, also known as the mixed logit, has
been widely used in empirical choice analysis for the last thirty years. We prove that the …

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 …