Differential attention to attributes in utility-theoretic choice models

Abstract

We show in a theoretical model that the benefit from additional attention to the marginal attribute within a choice set depends upon the expected utility loss from making a suboptimal choice if it is ignored. Guided by this analysis, we then develop an empirical method to measure an individual’s propensity to attend to attributes. As a proof of concept, we offer an empirical example of our method using a conjoint analysis of demand for programs to reduce health risks. Our results suggest that respondents differentially allocate attention across attributes as a function of the mix of attribute levels in a choice set. This behaviour can cause researchers who fail to model attention allocation to estimate incorrectly the marginal utilities derived from selected attributes. This illustrative example is a first attempt to implement an attention-corrected choice model with a sample of field data from a conjoint choice experiment.

Publication
In Journal of Choice Modelling
Date

This research has been supported by the U.S. Environmental Protection Agency (R829485), Health Canada (H5431-010041/001/SS), the National Science Foundation (SES-0551009), and the Mikesell Foundation at the University of Oregon.