Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-26T17:21:34.917Z Has data issue: false hasContentIssue false

Comparison of Some Methods to Fit a Multiplicative Tariff Structure to Observed Risk Data

Published online by Cambridge University Press:  29 August 2014

B. Ajne*
Affiliation:
Skandia, Stockholm
*
Skandia, Sveavägen 44, S-103 50 Stockholm, Sweden.
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Three methods for fitting multiplicative models to observed, cross-classified risk data are compared. They are the method of Bailey–Simon, the method of marginal totals and a maximum likelihood method. The methods are applied to a number of risk data sets and compared with respect to balance and goodness-of-fit.

Type
Workshop
Copyright
Copyright © International Actuarial Association 1986

References

van Eeghen, J., Greup, E. K. and Nijssen, J. A. (1983) Rate Making, Surveys of Actuarial Studies No. 2. Nationale-Nederlande N.V.: Rotterdam.Google Scholar
van Eeghen, J., Nijssen, J. A. and Ruygt, F. A. M. (1982) Interdependence of Risk Factors: Application on some Models. In New Motor Rating Structure in the Netherlands. ASTIN-group: Nederland.Google Scholar
Folkeson, M., Neuhaus, W. and Norberg, R. (1985) A Hierarchical Credibility Model Applied to Insurance data. Paper presented at the 18th ASTIN Colloquium at Biarritz.Google Scholar
Jung, J. (1968) On Automobile Insurance Rate Making, ASTIN Bulletin 5 (1).CrossRefGoogle Scholar