Testing for Asymmetric Information Using "Unused Observables" in Insurance Markets: Evidence from the U.K. Annuity Market

This article tests for asymmetric information in the U.K. annuity market of the 1990s by trying to identify "unused observables," attributes of individual insurance buyers that are correlated both with subsequent claims experience and with insurance demand but that insurance companies did...

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Bibliographic Details
Main Authors: Finkelstein, Amy (Contributor), Poterba, James M. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Economics (Contributor)
Format: Article
Language:English
Published: American Risk and Insurance Association, 2015-03-12T17:57:44Z.
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Online Access:Get fulltext
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100 1 0 |a Finkelstein, Amy  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Economics  |e contributor 
100 1 0 |a Finkelstein, Amy  |e contributor 
100 1 0 |a Poterba, James M.  |e contributor 
700 1 0 |a Poterba, James M.  |e author 
245 0 0 |a Testing for Asymmetric Information Using "Unused Observables" in Insurance Markets: Evidence from the U.K. Annuity Market 
260 |b American Risk and Insurance Association,   |c 2015-03-12T17:57:44Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/95991 
520 |a This article tests for asymmetric information in the U.K. annuity market of the 1990s by trying to identify "unused observables," attributes of individual insurance buyers that are correlated both with subsequent claims experience and with insurance demand but that insurance companies did not use to set insurance prices. Unlike the widely used positive correlation test for asymmetric information, which searches for a positive correlation between insurance demand and risk experience, the unused observables test is not confounded by heterogeneity in individual preference parameters that may affect insurance demand. We identify residential location as an unused observable in the U.K. annuity market of this period. Even though residential location was observed by all market participants, the decision not to condition prices on it created the same types of market inefficiencies that arise when annuity buyers have private information about mortality risk. Our findings raise questions about how insurance companies select the set of buyer attributes that they use in setting policy prices. In the decade following the period that we study, U.K. insurance companies changed their pricing practices and began to condition annuity prices on a buyer's postcode. 
520 |a National Institute on Aging 
520 |a National Science Foundation (U.S.) 
546 |a en_US 
655 7 |a Article 
773 |t Journal of Risk and Insurance