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The Public-Private Sector Risk-Sharing in the French Insurance "Cat. Nat. System"""

  • Nathalie de Marcellis-Warin
  • Erwann Michel-Kerjan

Twenty years ago, the French created a so far unique insurance scheme to cover damages due to natural catastrophes. This so-called ''Cat-Nat system'' combines private insurance industry, a state-guaranteed public reinsurance and the Treasury. We provide a simple game-theoretic model which seems to capture the situation of the concrete scheme. We find that, depending on its expectations, the government modulates its policy to induce private insurers adopting one of those two opposite strategies: (i) transfer all the covered risks to the public reinsurer and therefore simply behave as indemnification intermediaries; (ii) conserve the largest share of high risks. Il y a 20 ans, la France créait un système d assurance des sinistres dus aux catastrophes naturelles qui demeure unique au monde. Le système Cat.Nat est constitué d un partenariat entre l industrie privée de l assurance, un réassureur public et le Ministère des Finances. Nous proposons ici un modèle simple de ce système qui semble refléter concrètement son fonctionnement. Nous montrons que le gouvernement, suivant ses attentes, choisit de moduler sa politique de prise en charge de tels risques afin de conduire les assureurs privés à adopter l une des deux stratégies diamétralement opposées: (i) transférer tous les risques au réassureur public et ainsi se comporter comme de simples intermédiaires financiers; (ii) décider de conserver le plus possible de hauts risques.

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Paper provided by CIRANO in its series CIRANO Working Papers with number 2001s-60.

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Length: 28 pages
Date of creation: 01 Nov 2001
Date of revision:
Handle: RePEc:cir:cirwor:2001s-60
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  1. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, Oxford University Press, vol. 84(3), pages 488-500.
  2. Browne, Mark J & Hoyt, Robert E, 2000. " The Demand for Flood Insurance: Empirical Evidence," Journal of Risk and Uncertainty, Springer, vol. 20(3), pages 291-306, May.
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