A new approach to the credibility formula

被引:22
|
作者
Najafabadi, Amir T. Payandeh [1 ]
机构
[1] Shahid Beheshti Univ, Dept Math Sci, GC Evin, Tehran 1983963113, Iran
来源
INSURANCE MATHEMATICS & ECONOMICS | 2010年 / 46卷 / 02期
关键词
IM31; Loss function; Balanced loss function; Mean square error technique;
D O I
10.1016/j.insmatheco.2009.11.007
中图分类号
F [经济];
学科分类号
02 ;
摘要
The usual credibility formula holds whenever, (i) claim size distribution is a member of the exponential family of distributions, (ii) prior distribution conjugates with claim size distribution, and (iii) square error loss has been considered. As long as, one of these conditions is violent, the usual credibility formula no longer holds. This article, using the mean square error minimization technique, develops a simple and practical approach to the credibility theory. Namely, we approximate the Bayes estimator with respect to a general loss function and general prior distribution by a convex combination of the observation mean and mean of prior, say, approximate credibility formula. Adjustment of the approximate credibility for several situations and its form for several important losses are given. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:334 / 338
页数:5
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