This paper examines the standard test for asymmetric information in insurance markets: that its presence will result in a positive correlation between insurance coverage and risk occurrence. We show empirically that while there is no evidence of this positive correlation in the long-term care insurance market, asymmetric information still exists. We use individuals' subjective assessments of the chance they will enter a nursing home, together with the insurance companies' own assessment, to show that individuals do have private information about their risk type. Moreover, this private information is positively correlated with insurance coverage. We reconcile this direct evidence of asymmetric information with the lack of a positive correlation between insurance coverage and risk occurrence by demonstrating the existence of other unobserved characteristics that are positively related to coverage and negatively related to risk occurrence. Specifically, we find that more cautious individuals are both more likely to have long-term care insurance and less likely to enter a nursing home. Our results demonstrate that insurance markets may suffer from asymmetric information, and its negative efficiency consequences, even if those with more insurance are not higher risk. The results also suggest an alternative approach to testing for asymmetric information in insurance markets.
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number
9957.
Length: Date of creation: Sep 2003 Date of revision: Handle: RePEc:nbr:nberwo:9957
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Find related papers by JEL classification: D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies
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Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
Olivia S Mitchell & John Piggott & Michael Sherris & Shaun Yow, 2006.
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