全球智库信息集成服务系统(G2TT): Inferring Risk Perceptions and Preferences using Choice from Insurance Menus: Theory and Evidence

G2TT

来源类型	Working Paper
规范类型	报告
DOI	10.3386/w21797
来源ID	Working Paper 21797
	Inferring Risk Perceptions and Preferences using Choice from Insurance Menus: Theory and Evidence
	Keith Marzilli Ericson; Philipp Kircher; Johannes Spinnewijn; Amanda Starc
发表日期	2015-12-14
出版年	2015
语种	英语
摘要	Demand for insurance can be driven by high risk aversion or high risk. We show how to separately identify risk preferences and risk types using only choices from menus of insurance plans. Our revealed preference approach does not rely on rational expectations, nor does it require access to claims data. We show what can be learned non-parametrically from variation in insurance plans, offered separately to random cross-sections or offered as part of the same menu to one cross-section. We prove that our approach allows for full identification in the textbook model with binary risks and extend our results to continuous risks. We illustrate our approach using the Massachusetts Health Insurance Exchange, where choices provide informative bounds on the type distributions, especially for risks, but do not allow us to reject homogeneity in preferences.
主题	Microeconomics ; Economics of Information ; Health, Education, and Welfare ; Health
URL	https://www.nber.org/papers/w21797
来源智库	National Bureau of Economic Research (United States)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/579471
推荐引用方式 GB/T 7714	Keith Marzilli Ericson,Philipp Kircher,Johannes Spinnewijn,et al. Inferring Risk Perceptions and Preferences using Choice from Insurance Menus: Theory and Evidence. 2015.