Designs of Discrete Choice Set Experiments for Estimating Both Attribute and Availability Cross Effects

Abstract

Probabilistic discrete choice experiments are frequently applied in strategic policy, management, and marketing problems to model and predict consumer choice behavior. The authors consider the construction of a class of discrete choice set experiment designs for estimating all availability and attribute cross effects where there are m brands and one attribute for each brand.