Multiple-Bounded Uncertainty Choice Data as Probabilistic Intentions
提出将多边界不确定性选择（MBUC）方法的回答视为主观概率，并开发了基于损失函数的最优估计规则，以处理回答者和研究者双方的不确定性，并用首次实地应用数据验证了方法的稳定性。
<i>The multiple-bounded uncertainty choice (MBUC) value elicitation method allows respondents to indicate qualitative levels of uncertainty, as opposed to a simple yes or no, across a range of prices. We argue that MBUC responses convey subjective probabilities. We examine the decision process of the researcher faced with estimating population parameters from MBUC sample responses. We develop her optimal decision rule based on a specified loss function. The resulting estimator accommodates uncertainty on the part of the respondent and the researcher. We illustrate the proposed estimation method using MBUC responses from the first field application of this elicitation format. The resulting framework produces stable estimates and nests alternative methods of modeling MBUC responses.</i>