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...

We construct a unifying theory of two-stage budgeting and bounded rationality with mental accounting features. Mental accounting and rational inattention induce behavioral wedges between first-stage and second-stage expenditure budgets. Because reviewing one’s financial activities is...

We construct a unifying theory of two-stage budgeting and bounded rationality with mental accounting features. Mental accounting and rational inattention induce behavioral wedges between first-stage and second-stage expenditure budgets. Because reviewing one’s financial activities is...

The growth of Internet price search tools, notably shopbots, has reduced consumers’ search costs for price and some product characteristics. While a variety of analytic models predict that increased consumer search through shopbots will lower price levels among competing retailers, there is no...

In Markov-switching regression models, we use Kullback-Leibler (KL) divergence between the true and candidate models to select the number of states and variables simultaneously. In applying Akaike information criterion (AIC), which is an estimate of KL divergence, we find that AIC retains too...

We propose an approach for deriving joint space maps of bundle compositions and market segments from three-way (e.g., consumers x product options/benefits/features x usage situations/scenarios/time periods) pick-any/J data. The proposed latent structure multidimensional scaling procedure...

A mixture model approach is developed that simultaneously estimates the posterior membership probabilities of observations to a number of unobservable groups or latent classes, and the parameters of a generalized linear model which relates the observations, distributed according to some member...

A latent class model for identifying classes of subjects in paired comparison choice experiments is developed. The model simultaneously estimates a probabilistic classification of subjects and the logit models' coefficients relating characteristics of objects to choices for each respective group...

A number of studies have applied non-market valuation techniques to measure the value of cultural goods. Virtually all of these studies are single case applications and rely mostly on stated preferences, such as contingent valuation techniques. We compare the relative value of multiple,...

The Marketing literature has shown how difficult it is to profile market segments derived with finite mixture models, especially using traditional descriptor variables (e.g., demographics). Such profiling is critical for the proper implementation of segmentation strategy. We propose a new finite...