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Beyond Testing: Empirical Models of Insurance Markets

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Author Info
Liran Einav
Amy Finkelstein
Jonathan Levin

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Abstract

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.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 15241.

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Date of creation: Aug 2009
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Handle: RePEc:nbr:nberwo:15241

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Find related papers by JEL classification:
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information

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This page was last updated on 2009-11-25.

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