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8 - Experience rating

Published online by Cambridge University Press:  05 June 2012

J. H. Pollard
Affiliation:
Macquarie University, Sydney
B. Zehnwirth
Affiliation:
Macquarie University, Sydney
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Summary

Summary. In this chapter we explain the need for experience rating and introduce some elementary credibility theory which finds application in this area. We also show how Bayes' methods can be used to update estimates of a claim frequency rate in the light of experience, and examine briefly a particular form of experience rating: no claim discount (NCD).

Introduction

In section 5.9 we saw that, for most classes of general insurance, many possible sources of heterogeneity of risk exist. A premium rate based on the observed claim rate for a heterogeneous portfolio might prove quite inadequate if, as is likely, the mix of risks were to change. To reduce this danger, policies are usually grouped according to the different levels of the various risk factors involved. Claim frequency rates and premiums for the different groups are then calculated. This approach to the problem is called group rating. Multivariate methods can also be used to estimate the effects of the various levels of each risk factor on the claim frequency rate and premium.

Even when policies are grouped according to the different levels of various relevant risk factors, the residual heterogeneity within the groups is often still considerable. Many policies will have underlying claim frequency rates near the mean rate for the group. Some, however, will have considerably higher underlying rates, and some considerably lower, and it is desirable that we distinguish between these. We may attempt further subdivision of the groups using additional risk factors or additional intermediate levels of existing factors.

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Publisher: Cambridge University Press
Print publication year: 1999

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  • Experience rating
  • I. B. Hossack, J. H. Pollard, Macquarie University, Sydney, B. Zehnwirth, Macquarie University, Sydney
  • Book: Introductory Statistics with Applications in General Insurance
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9781139173322.010
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  • Experience rating
  • I. B. Hossack, J. H. Pollard, Macquarie University, Sydney, B. Zehnwirth, Macquarie University, Sydney
  • Book: Introductory Statistics with Applications in General Insurance
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9781139173322.010
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Experience rating
  • I. B. Hossack, J. H. Pollard, Macquarie University, Sydney, B. Zehnwirth, Macquarie University, Sydney
  • Book: Introductory Statistics with Applications in General Insurance
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9781139173322.010
Available formats
×