Moral Hazard in Reinsurance Markets

Neil Doherty and Kent Smetters ()

No 9050, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: This paper attempts to identify moral hazard in the traditional reinsurance market. We build a multi-period principle agent model of the reinsurance transaction from which we derive predictions on premium design, monitoring, loss control and insurer risk retention. We then use panel data on U.S. property liability reinsurance to test the model. The empirical results are consistent with the model's predictions. In particular, we find evidence for the use of loss sensitive premiums when the insurer and reinsurer are not affiliates (i.e., not part of the same financial group), but little or no use of monitoring. In contrast, we find evidence for the use of monitoring when the insurer and reinsurer are affiliates, where monitoring costs are lower, but little use of price controls.

JEL-codes: D8 G0 (search for similar items in EconPapers)
Date: 2002-07
Note: AP PE
View list of references View citations in EconPapers

Downloads: (external link)
http://www.nber.org/papers/w9050.pdf (application/pdf)
Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:nbr:nberwo:9050

Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w9050
The price is Paper copy available by mail.

Access Statistics for this paper

More papers in NBER Working Papers from National Bureau of Economic Research, Inc
Address: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Contact information at EDIRC.
Series data maintained by ().