Attribute Specific Impacts of Stated Non‐Attendance in Choice Experiments
扩展了离散选择实验中处理陈述性属性非关注数据的方法，允许属性特定影响，通过扩展分层贝叶斯Logit模型分析印度消费者对传统香米品种的偏好，发现非关注者边际效用显著缩小且属性间存在差异。
Abstract In this paper, we generalise existing approaches to the treatment of stated attribute non‐attendance data in discrete choice experiments by allowing attribute specific impacts. We implement this approach by employing an extended hierarchical Bayes logit model specification. To illustrate this approach, we consider data collected to examine Indian consumers’ preferences for traditional aromatic rice varieties. Our results regarding stated attribute non‐attendance reveal that, our new approach shrinks marginal utilities of non‐attenders substantially compared to stated attenders, with significant differences in the shrinkage between some of the attributes. In addition, our results reveal the way in which non‐attendance of attributes interact with each other and the impact that this has on the distribution of willingness to pay estimates.