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An Application of Linear Programming to Bonus Malus System Design

Published online by Cambridge University Press:  17 April 2015

Antonio Heras
Affiliation:
Departamento de Economía Financiera y Contabilidad I, (Economía Financiera y Actuarial), Facultad de Ciencias Económicas, Universidad Complutense de Madrid, (Campus de Somosaguas), 28223 Pozuelo de Alarcón, Madrid, Spain. e-mail: aheras@ccee.ucm.es
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Abstract

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The purpose of this paper is to show how linear programming methodology can help us to design Bonus-Malus premium scales with some interesting theoretical and practical attributes. Examples of these properties are the financial equilibrium of the system, the monotonicity and proper variability of the premium scale, and the improvement of some efficiency measures such as the RSAL and the elasticity of the system. We will conclude that the use of the linear programming methodology makes possible a high degree of interaction between the designer and the mathematical model.

Type
Workshop
Copyright
Copyright © ASTIN Bulletin 2004

Footnotes

*

The authors are affiliated to Universidad Complutense de Madrid, Spain.

References

Baione, F., Levantesi, S. and Menzietti, M. (2002) The Development of an Optimal Bonus-Malus System in a Competitive Market, ASTIN Bulletin 32(1), 159169.CrossRefGoogle Scholar
Box, G.E.P. and Tiao, G.C. (1973) Bayesian Inference in Statistical Analysis, Addison-Wesley, Reading, MA. Google Scholar
Degroot, M.H. (1970) Optimal Statistical Decisions. McGraw-Hill, New York. Google Scholar
De Pril, N. (1978) The Efficiency of a Bonus-Malus System. ASTIN Bulletin 10(1), 5972.CrossRefGoogle Scholar
Kemeny, J.G. and Snell, J.L. (1976) Finite Markov Chains. Springer-Verlag, Berlin. Google Scholar
Heras, A., Vilar, J.L. and Gil, J.A. (2002) Asymptotic Fairness of Bonus-Malus Systems and Optimal Scales of Premiums. The Geneva Papers on Risk and Insurance Theory 27, 6182.CrossRefGoogle Scholar
Ignizio, J.P. (1982) Linear Programming in Single & Multiple Objective Systems. Prentice-Hall, Englewood Cliffs.Google Scholar
Lee, P.M. (1989) Bayesian Statistics: an Introduction. Edward Arnold, London. Google Scholar
Lemaire, J. (1985) Automobile Insurance. Actuarial Models. Kluwer-Nijhoff Publishing, Dordrecht. CrossRefGoogle Scholar
Lemaire, J. (1995) Bonus-Malus Systems in Automobile Insurance. Kluwer Academic Publishers, Dordrecht. CrossRefGoogle Scholar
Lemaire, J. (1998) Bonus-Malus Systems: the European and Asian Approach to Merit-Rating. North American Actuarial Journal 2(1), 2647.CrossRefGoogle Scholar
Loimaranta, K. (1972) Some Asymptotic Properties of Bonus Systems. ASTIN Bulletin 6, 233245.CrossRefGoogle Scholar
Norberg, R. (1976) A Credibility Theory for Automobile Bonus Systems. Scandinavian Actuarial Journal, 92107.Google Scholar
Pesonen, M. (1963) A Numerical Method of Finding a Suitable Bonus Scale. ASTIN Bulletin 2, 102108.CrossRefGoogle Scholar
Raiffa, H. and Schlaifer, R. (1961) Applied Statistical Decision Theory. The M.I.T. Press, Cambridge, MA. Google Scholar
Romero, C. (1991) Handbook of Critical Issues in Goal Programming. Pergamon Press, Oxford. Google Scholar
Smith, J.Q. (1988) Decision Analysis: a Bayesian Approach. Chapman and Hall, London. Google Scholar
Sawaragi, Y., Nakayama, H. and Tanino, T. (1985) Theory of Multiobjective Optimization. Academic Press, New York. Google Scholar
Vilar, J.L. (2000) Arithmetization of Distributions and Linear Goal Programming. Insurance: Mathematics and Economics 27, 113122.Google Scholar
Verico, P. (2002) Bonus-Malus Systems: “Lack of Transparency” and Adequacy Measure. ASTIN Bulletin 32(2), 315318.CrossRefGoogle Scholar