We propose a general framework for dealing with endogeneity in models in marketing and economics. It consists of a multivariate, hierarchical, mixed discrete/continuous representation of behavioral response variables. Importantly, it includes a non-parametric approximation to unobserved sources...

We define sources of heterogeneity in consumer utility functions related to individual differences in response tendencies, drivers of utility, form of the consumer utility function, perceptions of attributes, stated expendencies, and stochasticity. A variety of alternative modeling approaches...

We attempt to provide insights into how heterogeneity has been and can be addressed in choice modeling. In doing so, we deal with three topics: Models of heterogeneity. Methods of estimation and Substantive issues. In describing models we focus on discrete versus continuous representations of...

Modern businesses routinely capture data on millions of observations across subjects, brand SKUs, time periods, predictor variables, and store locations, thereby generating massive high-dimensional datasets. For example, Netflix has choice data on billions of movies selected, user ratings, and...