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 …

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

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 …

Mixed logit models with unobserved inter-and intra-individual heterogeneity hierarchically
extend standard mixed logit models by allowing tastes to vary randomly both across …

Methodological developments in conjoint analysis (Green & Srinivasan 1990; Louviere
1988) have created many alternatives for designing and conducting conjoint experiments …

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 …

The nested logit model is currently the preferred extension to the simple multinomial logit
(MNL) discrete choice model. The appeal of the nested logit model is its ability to …

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

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 …

In this article, we examine the aggregation properties of (nested) logit models to understand
their exceptional macro-level performance. The problem of aggregating micro logit models …