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Credibility Theory and Generalized Linear Models

Published online by Cambridge University Press:  29 August 2014

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Abstract

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This paper shows how credibility theory can be encompassed within the theory of Hierarchical Generalized Linear Models. It is shown that credibility estimates are obtained by including random effects in the model. The framework of Hierarchical Generalized Linear Models allows a more extensive range of models to be used than straightforward credibility theory. The model fitting and testing procedures can be carried out using a standard statistical package. Thus, the paper contributes a further range of models which may be useful in a wide range of actuarial applications, including premium rating and claims reserving.

Type
Articles
Copyright
Copyright © International Actuarial Association 1997

References

Breslow, N.E. and Clayton, D.G. (1993) Approximate inference in generalised linear mixed models. J. Am. Statist. Ass., 88, 925.Google Scholar
Bühlmann, H. (1967) Experience Rating and Credibility. ASTIN Bulletin, 4, 199207.CrossRefGoogle Scholar
Bühlmann, H. and Straub, E. (1970) Credibility for Loss Ratios. ARCH, 1972.2.Google Scholar
Cox, D.R. and Reid, N. (1987) Parameter orthogonality and approximate conditional inference. J.R. Statist. Soc. B., 49, 139Google Scholar
Goovaerts, M. and Hoogstad, W. (1987) Credibility Theory. Surveys of Actuarial Studies No. 4, Rotterdam: Nationale-Nederlanden.Google Scholar
Haberman, S. and Renshaw, A.E., (1996) Generalized Linear Models and actuarial science. The Statistician, 45, 407436.Google Scholar
Hachemeister, C.R. (1975) Credibility for Regression Models with Applications to Trend, in Credibility: Theory and Applications, Kalm, P., ed., New York: Academic Press.Google Scholar
Henderson, C.R. (1975) Best linear unbiased estimation and prediction under a selection model. Biometrics, 31, 423447.CrossRefGoogle Scholar
Jewell, W.S. (1974) Credible means are exact Bayesian for exponential families. ASTIN Bulletin, 8, 7790.CrossRefGoogle Scholar
Jewell, W.S. (1975) The use of collateral data in credibility theory: a hierarchical model. Giornale dell'Instituto ltaliano degli Attuari, 38, 116.Google Scholar
Kluoman, S. (1987) Credibility for Classification Ratemaking via the Hierarchical Normal Linear Model. Proc. of the Casualty Act. Soc., 74, 272321.Google Scholar
Klugman, S. (1992) Bayesian Statistics in Actuarial Science with Emphasis on Credibility. Kluwer Academic Publishers.CrossRefGoogle Scholar
Lee, Y. and Nelder, J.A. (1996) Hierarchical Generalized Linear Models. J.R. Statist. Soc. B, 58, 619678.Google Scholar
McCullagh, P. and Nelder, J.A. (1989) Generalized Linear Models. 2nd Edition. London: Chapman and Hall.CrossRefGoogle Scholar
McGilchrist, C.A. (1994) Estimation in generalized mixed models. J.R. Statist. Soc. B, 56, 6169.Google Scholar
Makov, U.E., Smith, A.F.M. and Liu, Y.-H.Bayesian methods in actuarial science. The Statistician, 45, 503515.CrossRefGoogle Scholar
Mowbray, A.H. (1914) How extensive a payroll exposure is necessary to give a dependable pure premium. Proc. of the Casualty Act. Soc., 1, 2430.Google Scholar
Nelder, J.A. and Lee, Y. (1992) Likelihood, quasi-likelihood and pseudo-likelihood: Some coomparisons. J.R. Statist. Soc. B, 54, 273284.Google Scholar
Nelder, J.A. and Pregibon, D. (1987) An extended quasi-likelihood function. Biometrika, 74, 221231.CrossRefGoogle Scholar
Renshaw, A.E. (1991) Actuarial Graduation Practice and Generalized Linear and Non-Linear Models. J. Inst. Acts., 118, 295312.CrossRefGoogle Scholar
Renshaw, A.E. and Verrall, R.J. (1994) A stochastic model underlying the chain-ladder technique, Proceedings, ASTIN Colloquium, 1994.Google Scholar
Schall, R. (1991) Estimating in generalized linear models with random effects. Biometrika, 78, 719727.CrossRefGoogle Scholar
Verrall, R.J. (1993) A state space formulation of Whittaker graduation, with extensions. Insurance: Mathematics and Economics, 13, 714.Google Scholar
de Vylder, F. (1976) Optimal semilinear credibility. Bull, of the Assoc. of Swiss Acts., 78, 2740.Google Scholar
de Vylder, F. (1986) General regression in multidimensional credibility theory, in Insurance and Risk Theory, ed. Govaerts, M., J; Haezendonck and F. de Vylder, Reidel.Google Scholar
Wedderburn, R.W.M. (1974) Quasi-likelihood functions, generalized linear models and the Gauss-Newton method. Biometrika, 61, 439447.Google Scholar
Whitney, A.W. (1918) The theory of experience rating. Proc. of the Casualty Act. Soc., 4, 274292.Google Scholar
Zehnwirth, B. (1977) The mean credibility formula is a Bayes rule. Scandinavian Actuarial Journal, 4, 212216.CrossRefGoogle Scholar