This paper examines the effect of message characteristics on donation behavior using an economic model of giving. The utility of giving can come from one's own contribution and possibly from the combined contributions of others. Donors are assumed to be constrained utility maximizers, and the...

Large-scale databases in marketing track multiple consumers across multiple product categories. A challenge in modeling these data is the resulting size of the data matrix, which often has thousands of consumers and thousands of choice alternatives with prices and merchandising variables...

Platform goods are commonly seen in practice. They occur when a company offers a durable product (platform) and a consumable product (component). Platform goods are desirable because they create local monopolies and increase the switching cost of products. Platform goods have been extensively...

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...

We review applications of Bayesian methods to marketing problems. Key aspects of marketing applications include the discreteness of response or outcome data and relatively large numbers of cross-sectional units, each with possibly low information content. The use of informative priors including...

We discuss our experiences teaching Bayesian Statistics to students in doctoral programs in business. These students often have weak backgrounds in mathematical statistics and a predisposition against likelihood-based methods stemming from prior exposure to econometrics. This can be overcome by...

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...

Bayesian methods have become widespread in the marketing literature. We review the essence of the Bayesian approach and explain why it is particularly useful for marketing problems. While the appeal of the Bayesian approach has long been noted by researchers, recent developments in computational...

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...