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Astin Bulletin
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Astin Bulletin
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Fitting Tweedie's Compound Poisson Model to Insurance Claims Data: Dispersion Modelling

Fitting Tweedie's compound Poisson model to insurance claims data: dispersion modelling
Authors: Smyth, Gordon K.; Jørgensen, Bent;

Fitting Tweedie's Compound Poisson Model to Insurance Claims Data: Dispersion Modelling

Abstract

AbstractWe reconsider the problem of producing fair and accurate tariffs based on aggregated insurance data giving numbers of claims and total costs for the claims. Jørgensen and de Souza (Scand Actuarial J., 1994) assumed Poisson arrival of claims and gamma distributed costs for individual claims. Jørgensen and de Souza (1994) directly modelled the risk or expected cost of claims per insured unit,μsay. They observed that the dependence of the likelihood function onμis as for a linear exponential family, so that modelling similar to that of generalized linear models is possible. In this paper we observe that, when modelling the cost of insurance claims, it is generally necessary to model the dispersion of the costs as well as their mean. In order to model the dispersion we use the framework of double generalized linear models. Modelling the dispersion increases the precision of the estimated tariffs. The use of double generalized linear models also allows us to handle the case where only the total cost of claims and not the number of claims has been recorded.

Country
Denmark
Keywords

Applications of statistics to actuarial sciences and financial mathematics, tarification, dispersion modelling, double generalized linear models, REML, compound Poisson model, exposure, Risk theory, insurance, risk theory, power variance function, claims data, generalized linear models, car insurance

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
131
Top 1%
Top 1%
Average
bronze
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