### Abstract

This paper uses generalized linear models to assess risk in an automobile insurance portfolio. The effect on the model fitting process of the aggregation of individual policies into homogeneous classes is examined. Problems of scale are discussed with respect to (a) the size of the data set, (b) the size of a model involving many factors, (c) the number of interaction parameters where rating factors have large numbers of levels. The methods are illustrated using a data set from a UK automobile insurer. © 1989.

Original language | English |
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Pages (from-to) | 35-46 |

Number of pages | 12 |

Journal | Insurance: Mathematics and Economics |

Volume | 8 |

Issue number | 1 |

Publication status | Published - Mar 1989 |

### Keywords

- Automobile insurance
- Generalized linear models
- Interaction

## Fingerprint Dive into the research topics of 'Selection of variables for automobile insurance rating'. Together they form a unique fingerprint.

## Cite this

Stroiński, K. J., & Currie, I. D. (1989). Selection of variables for automobile insurance rating.

*Insurance: Mathematics and Economics*,*8*(1), 35-46.