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THE RESEARCH OF CAR INSURANCE PRICING BASED ON TWEEDIE-GAM

並列摘要


Generalized linear models assume that the influence of the independent variables on the response variable function is linear as a mainstream approach to the research of car insurance pricing. But in the actual situation, a number of factors that affect the frequency and severity of claims are not only a linear form. Simply using linear estimation will cause some variables insignificant, thus it is necessary to introduce generalized additive model. Based on a real dataset of automobile insurance loss, this thesis discussed car insurance pricing with different factors by using GAM-Tweedie model. It showed that the generalized additive GAM-Tweedie model can better explain the impacts on claims than the linear model.

參考文獻


David, M.(2015).Auto Insurance Premium Calculation Using Generalized Linear Models.Procedia Economics and Finance.20,147-156.
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Huang, S.,Zhang, Y.,Chen, N.(2010).The claims model Based on Tweedie and Zero Adjusted Inverse Gaussian regression.Statistics and Decision.4,27-29.
Jong, P. D.,Heller, G. Z.(2008).Generalized Linear Models for Insurance Data.Cambridge:Cambridge University Press.
Meng, S.(2014).The actuarial statistical models of auto insurance.Beijing:China Statistics Press.

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