Beyond Testing: Empirical Models of Insurance Markets

被引：86

作者：

Einav, Liran ^{[1
,2
]}

Finkelstein, Amy ^{[2
,3
]}

Levin, Jonathan ^{[1
,2
]}

机构：

[1] Stanford Univ, Dept Econ, Stanford, CA 94305 USA

[2] NBER, Cambridge, MA 02138 USA

[3] MIT, Dept Econ, Cambridge, MA 02142 USA

来源：

ANNUAL REVIEW OF ECONOMICS, VOL 2 | 2010年 / 2卷

关键词：

asymmetric information; adverse selection; ADVERSE SELECTION; ASYMMETRIC INFORMATION; HEALTH-INSURANCE; ADVANTAGEOUS SELECTION; MORAL HAZARD; PRIVATE; UNCERTAINTY; TRADE;

D O I：

10.1146/annurev.economics.050708.143254

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

We describe recent advances in the empirical analysis of insurance markets. This new research proposes ways to estimate individual demand for insurance and the relationship between prices and insurer costs in the presence of adverse and advantageous selection. We discuss how these models permit the measurement of welfare distortions arising from asymmetric information and the welfare consequences of potential government policy responses. We also discuss some challenges in modeling imperfect competition between insurers and outline a series of open research questions.

引用

页码：311 / 336

页数：26

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