Kesternich Iris, Heiss Florian, McFadden Daniel, Winter Joachim
University of Munich, Germany.
J Health Econ. 2013 Dec;32(6):1313-24. doi: 10.1016/j.jhealeco.2012.11.006. Epub 2012 Dec 17.
In recent years, consumer choice has become an important element of public policy. One reason is that consumers differ in their tastes and needs, which they can express most easily through their own choices. Elements that strengthen consumer choice feature prominently in the design of public insurance markets, for instance in the United States in the recent introduction of prescription drug coverage for older individuals via Medicare Part D. For policy makers who design such a market, an important practical question in the design phase of such a new program is how to deduce enrollment and plan selection preferences prior to its introduction. In this paper, we investigate whether hypothetical choice experiments can serve as a tool in this process. We combine data from hypothetical and real plan choices, elicited around the time of the introduction of Medicare Part D. We first analyze how well the hypothetical choice data predict willingness to pay and market shares at the aggregate level. We then analyze predictions at the individual level, in particular how insurance demand varies with observable characteristics. We also explore whether the extent of adverse selection can be predicted using hypothetical choice data alone.
近年来,消费者选择已成为公共政策的一个重要元素。一个原因是消费者的品味和需求各不相同,而他们能够最轻松地通过自身选择来表达这些。强化消费者选择的因素在公共保险市场设计中显著突出,例如在美国,近期通过医疗保险D部分为老年人引入了处方药保险。对于设计此类市场的政策制定者而言,在这样一个新计划的设计阶段,一个重要的实际问题是如何在其推出之前推断出参保情况和计划选择偏好。在本文中,我们研究假设选择实验是否能在此过程中作为一种工具。我们结合了在医疗保险D部分推出前后获取的假设性和实际计划选择数据。我们首先分析假设选择数据在总体层面预测支付意愿和市场份额的效果如何。然后我们在个体层面进行分析,特别是保险需求如何随可观察特征而变化。我们还探讨仅使用假设选择数据能否预测逆向选择的程度。