This monograph provides a review of choice models in marketing from the perspective of a utility maximizing consumer subject to budgetary restrictions. Marketing models of choice have undergone many transformations over the last 20 years, and the advent to hierarchical Bayes models indicate that...

Conjoint choice experiments are used widely in marketing to study consumer preferences amongst alternative products. We develop a class of choice models, belonging to the class of Poisson race models, that describe a random utility which lends itself to a process-based description of choice. The...

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...