Linear Models as Aids in Insurance Decision Making: The Estimation of Automobile Insurance Claims

Linear models have been successfully used to describe and predict judgement and behavior in a variety of settings. In this study a linear regression model was used to model claim costs for an automobile insurance account portfolio of a major British insurance company. The categorical independent var...

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Bibliographic Details
Main Authors: SAMSON, Danny, Thomas, Howard
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1987
Subjects:
Online Access:https://ink.library.smu.edu.sg/lkcsb_research/3894
https://doi.org/10.1016/0148-2963(87)90027-0
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Institution: Singapore Management University
Language: English
Description
Summary:Linear models have been successfully used to describe and predict judgement and behavior in a variety of settings. In this study a linear regression model was used to model claim costs for an automobile insurance account portfolio of a major British insurance company. The categorical independent variables of policyholder age, area of residence, group (vehicle type), and no-claim discount (NCD) status were all found to be statistically significant influences on claim costs. It is argued that ex-post analyses of this nature are important to the managerial process of forecasting future claims and pricing insurance, as well as claims reserving decisions based on those forecasts.