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Finding Pareto Optimal Insurance Contracts

  • Y.M. Ermoliev
  • S.D. Flam

This note deals with on-line computation or learning of Pareto optimal insurance contracts. We account for the fact that the loss distribution often is unknown, unavailable, or intractable. Alternatively, the contracting parties could be inexperienced. In both cases loses must be simulated or observed, one at a time, these causing iterated revision of the premium. The mechanical nature of probability calculus thus yields to more tentative procedure, possibly closer to how humans operate or reason in face of risk. Emphasized here is the remarkable simplicity and stability of the resulting procedures. Special attention goes to catastrophic risks and subsidized insurance.

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Paper provided by International Institute for Applied Systems Analysis in its series Working Papers with number ir00033.

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Date of creation: Jun 2000
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Handle: RePEc:wop:iasawp:ir00033
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  1. Raviv, Artur, 1979. "The Design of an Optimal Insurance Policy," American Economic Review, American Economic Association, vol. 69(1), pages 84-96, March.
  2. Doherty, Neil A & Schlesinger, Harris, 1983. "Optimal Insurance in Incomplete Markets," Journal of Political Economy, University of Chicago Press, vol. 91(6), pages 1045-54, December.
  3. Ermoliev, Yuri M. & Norkin, Vladimir I., 1997. "On nonsmooth and discontinuous problems of stochastic systems optimization," European Journal of Operational Research, Elsevier, vol. 101(2), pages 230-244, September.
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