Speaker: Dr. Ravi Kumar
Title of the Talk: Measuring the importance of variables in choice models
Abstract: When one or more variables-call them causes, drivers, factors, or what ever- affect a dependent (response) variable, it of natural interest to understand the comparative importance of these variables upon the response variable. A general motivation for looking at relative importance comes from the desire to change factors effectively and economically-- for example, what factor(s) we should attend to first to improve chances of consideration in the consumer decision process. This talk focuses on a model of customer choice behavior and presents some pertinent notions of importance and their measures.