There is a growing interest in exploring attribute non-attendance (ANA) in choice experiments. This study applied Random Response Share (RRS) approach for investigating inattention choice in choice experiments and assessed its out-of-sample predictive performance using 60 months of choice experiment data from 61,592 U.S households. Our results suggest that the RRS is not likely to be a dominant strategy to the conventional multinomial logit model in terms of the out-of-sample forecasting accuracy. However, the RRS could be a way to deal with attribute nonattendance when also considering the socio-economic characteristics of respondents.

Abstract
Introduction
Materials and Methods
    1. The Food Demand Survey Data
    2. Conceptual Framework
    3. Empirical Application
Results and Discussion
    1. WTP estimates and Random Response Shares
    2. OOS Forecasting Accuracy
References

• Dong-Hyun Moon(Department of Agrifood System Research, Korea Rural Economic Institute) Corresponding author
• Glynn T. Tonsor(Department of Agricultural Economics, Kansas State University)