A Belief‐Preference Model of Choice for Experience and Credence Goods
提出一种方法，通过质量排序任务识别消费者对不确定产品品质的主观信念，再结合选择数据估计真实偏好，解决离散选择模型中信念与偏好混淆的问题。
Abstract We develop a methodology addressing the issue of confounded beliefs and preferences in models of discrete choice. First, we formalise the theoretical framework and logical underpinnings of a belief‐preference model of choice for experience and credence goods, where subjective beliefs relate to uncertain product quality. We then present the experimental procedure within the context of an online choice experiment studying consumer food preferences. The empirical strategy leverages information from a quality sorting task to identify and estimate beliefs, while choice data are used to recover preferences. By conditioning product choices on predicted quality perceptions, the issue of endogenous beliefs is resolved.