Utility maximization is implicit in models of consumer choice, learning, forward-looking behavior and substitution. It is a central feature of models of market competition built on the aggregation of individual choices, and is assumed in nearly all quantitative models of behavior. Yet, while the...

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...

Two Bayesian optimal design criteria for hierarchical linear models are discussed - the psi_beta criterion for the estimation of individual-level parameters beta, and the psi_theta criterion for the estimation of hyper-parameters theta. While the psi_beta criterion involves only the...

Fundraising involves the simultaneous consideration of three actors the donor, the charitable organization raising the funds, and the beneficiary. Successful fundraising appeals match donor motivations to preferred organizational and beneficiary attributes while acknowledging the influence of...

Mediation analysis is used to study the relationship between stimulus and response in the presence of intermediate, generative variables. The traditional approach to mediation analysis is based on the statistical significance of coefficients in aggregate regression models that assume homogeneity...

Economies of scope in direct utility models exist when consumers encounter costs and inconvenience in purchase and consumption. Travel time, product acquisition, training, expertise, and skills are examples of factors that impact the ability of consumers to derive utility from offerings beyond...

Conjoint analysis is a survey-based method used to measure consumer preferences and predict demand for products that may not yet exist in the marketplace. The most frequently used form of conjoint analysis involves having respondents choose from among a relatively small set of offerings with...

Asymmetric complements refer to goods where one is more dependent on the other, yet consumers receive enhanced benefit from consuming both. Examples include garden hoses and sprinklers, chips and dip, and routine versus personalized services where the former has a broader base for utility...

Market basket data reflect purchases from multiple product categories, some of which are complements and others that are substitutes. Consumers are more likely to make joint purchases from categories that are complements, and less likely to make joint purchases from categories that are...

Distributional assumptions for random utility models play an important role in relating observed product attributes to choice probabilities. Choice probabilities derived with independent errors have the IIA property, which often does not match consumer behavior and leads to inaccurate source of...