This paper studies a unique panel dataset of transactions with repeat customers of an insurer operating in a market in which insurers are not required by law or contract to share information about their customers' records. I use this dataset to test the asymmetric learning hypothesis that sellers obtain over time private information that some of their repeat customers have low risk, and that this learning enables sellers to make higher profits in transactions with these repeat customers. Consistent with this hypothesis, I find that the insurer in my dataset makes higher profits in transactions with repeat customers and that these profits are driven by transactions with repeat customers with good past claims history with the insurer; that these higher profits result from repeat customers with good claim history receiving a reduction in premiums that is lower than the reduction in expected costs associated with such customers; and that policyholders with bad claim history are more likely to flee their record by switching to other insurers.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
file. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Publisher Info
Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number
13752.
Length: Date of creation: Jan 2008 Date of revision: Handle: RePEc:nbr:nberwo:13752
Note: IO LE PE Contact details of provider: Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A. Phone: 617-868-3900 Email: Web page: http://www.nber.org More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: ().
Related research
Keywords:
Find related papers by JEL classification: D40 - Microeconomics - - Market Structure and Pricing - - - General D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
This paper has been announced in the following NEP Reports:
References listed on IDEAS 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.:
Gibbons, Robert & Katz, Lawrence F, 1991.
"Layoffs and Lemons,"
Journal of Labor Economics,
University of Chicago Press, vol. 9(4), pages 351-80, October.
[Downloadable!] (restricted)
Other versions:
Robert Gibbons & Lawrence Katz, 1989.
"Layoffs and Lemons,"
Working Papers
629, Princeton University, Department of Economics, Industrial Relations Section..
[Downloadable!]
Gibbons, R. & Katz, L.F., 1989.
"Layoffs And Lemons,"
Working papers
531, Massachusetts Institute of Technology (MIT), Department of Economics.
Robert Gibbons & Lawrence Katz, 1991.
"Layoffs and Lemons,"
NBER Working Papers
2968, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
Prendergast, Canice, 1992.
"The Insurance Effect of Groups,"
International Economic Review,
Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(3), pages 567-81, August.
[Downloadable!] (restricted)