Retailers of consumer durables often enable customers to configure products; this study reveals how companies can structure this customization process to increase sales. Three empirical studies demonstrate that combining choices about standardized products and configurator tasks is more...

The random coefficients logit model is a workhorse in marketing and empirical industrial organizations research. When only aggregate data are available, it is customary to calibrate the model based on market shares as data input, even if the data are available in the form of aggregate counts....

We investigate the distinction between consideration and utility in a context where consumers not only optimize which brand to choose, but also how much to choose from each brand. We show analytically how utility maximization in quantities based on twice-continuously differentiable utility...

The canonical design of customer satisfaction surveys asks for global satisfaction with a product or service and for evaluations of its distinct attributes. Users of these surveys are often interested in the relationship between global satisfaction and the attributes, with regression analysis...

During the completion of a conjoint task, fatigue, boredom, or task simplification strategies and learning effects may cause unobserved changes in individual consumer preferences. We propose a hierarchical Bayesian dynamic switching model that we call Change Point Heterogeneity model (CPHM) to...

We investigate direct and indirect specification of the distribution of consumer willingness-to-pay (WTP) for changes in product attributes in a choice setting. Typically, choice models identify WTP for an attribute as a ratio of the estimated attribute and price coefficients. Previous research...

Computer and web-based interviewing tools have made response times ubiquitous in marketing research. These data are used as an indicator of data quality by practitioners, and of latent processes related to memory, attributes and decision making by academics. We investigate a Poisson race model...

Models derived from random utility theory represent the workhorse methods to learn about consumer preferences from discrete choice data. However, a large body of literature documents various behavioral patterns that cannot be captured by basic random utility models and require different...