Imperfect Tests and Natural Insurance Monopolies

Winand Emons

No 1644, CEPR Discussion Papers from Centre for Economic Policy Research

Abstract: This paper considers a housing insurance market in which buildings have different damage probabilities. Insurers use imperfect tests to find out about buildings’ damage types. The insurance market is a natural monopoly. If more than one insurer is active, high risk house owners continue to apply to insurers until they are eventually assigned to a low-risk class. First we show that the natural insurance monopoly need not be sustainable. Then we show that in the equilibrium industry structure the incumbent may accommodate entry even when the natural monopoly is sustainable. The theoretical findings are thus able to explain recent observations from Germany and Switzerland where housing insurance damage rates and prices went up drastically after the transition from state monopolies to competitive environments.

Keywords: Imperfect Tests; Inefficient Entry; Insurance; Natural Monopoly; Sustainability (search for similar items in EconPapers)
JEL-codes: D42 D43 L12 L13 (search for similar items in EconPapers)
Date: 1997-05
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.cepr.org/active/publications/discussion_papers/dp.php?dpno=1644 (application/pdf)

Related works:
Journal Article: Imperfect Tests and Natural Insurance Monopolies (2001)
Working Paper: Imperfect Tests and Natural Insurance Monopolies (1997)
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: https://EconPapers.repec.org/RePEc:cpr:ceprdp:1644

Ordering information: This working paper can be ordered from
http://www.cepr.org/ ... ers/dp.php?dpno=1644

Access Statistics for this paper

More papers in CEPR Discussion Papers from Centre for Economic Policy Research 33 Great Sutton Street, London EC1V 0DX, UK.
Bibliographic data for series maintained by CEPR ().