In recent years there has been a growing stream of literature in marketing and economics that models consumers as Bayesian learners. Such learning behavior is often embedded within a discrete choice framework that is then calibrated on scanner panel data. At the same time, it is now accepted...

Firms periodically alter the characteristics of their brands in hope of increasing their popularity and profitability. This paper develops and illustrates a methodology to evaluate these multi-dimensional repositioning strategies. We start by forwarding a procedure to estimate the multiattribute...

Ordinal preference measures have a number of advantages relative to cardinal measures in the estimation of individual level multi-attribute utility functions. This paper: (a) outlines a theoretical foundation for estimating a cardinal scaled utility function from ordinal preference data, in...

Marketers routinely make use of stated consumer preferences and the relative attribute-importance weights implied by these preferences when making decisions on issues such as advertising messages and product design. Using this information as a basis for managerial decision making is risky,...

Marketers routinely make use of stated consumer preferences and the relative attribute importance weights implied by these preferences when making decisions on issues such as advertising messages and product design. Using this information as a basis for managerial decision-making is risky,...

Human Rights and Global Development Goals -- Principles and Practice, Human Rights and Development -- Challenging Inequalities -- Health Systems -- Access to Productive Assets: Labor -- Access to Productive Assets: Land -- Politics and Accountability: Implementing the SDGs.