THE USE OF ANNUAL MILEAGE AS A RATING VARIABLE

Author:

Lemaire Jean,Park Sojung Carol,Wang Kili C.

Abstract

AbstractAuto insurance companies must adapt to ever-evolving regulations and technological progress. Several variables commonly used to predict accidents rates, such as gender and territory, are being questioned by regulators. Insurers are pressured to find new variables that predict accidents more accurately and are socially acceptable. Annual mileage seems an ideal candidate. The recent development in new technologies should induce insurance carriers to explore ways to introduce mileage-based insurance premiums. We use the unique database of a major insurer in Taiwan to investigate whether annual mileage should be introduced as a rating variable in auto third-party liability insurance. We find that annual mileage is an extremely powerful predictor of the number of claims at-fault. The inclusion of mileage as a new variable should, however, not take place at the expense of bonus-malus systems; rather, the information contained in the bonus-malus premium level complements the value of annual mileage. An accurate rating system should therefore include annual mileage and bonus-malus as the two main building blocks, possibly supplemented by the use of other variables like age, territory and engine cubic capacity. While Taiwan has specific characteristics (high traffic density, a mild bonus-malus system and limited compulsory auto coverage), our results are so strong that we can confidently conjecture that they extend to all developed nations.

Publisher

Cambridge University Press (CUP)

Subject

Economics and Econometrics,Finance,Accounting

Reference43 articles.

1. The Effects of Regulated Premium Subsidies on Insurance Costs: An Empirical Analysis of Automobile Insurance

2. Taiwan Insurance Institute. (2014) Insurance statistics. www.tii.org.tw/econtent/statistics/statistics01.asp.

3. ‘Low mileage bias’ and related policy implications—A cautionary note

4. Insurance markets and unisex tariffs: is the European Court of Justice improving or destroying welfare?

5. Multivariate exposure modeling of accident risk: Insights from Pay-as-you-drive insurance data.;Paefgen;Transportation Research, Part A: Policy and Practice,2014

Cited by 56 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Contractarian Approach to Actuarial Fairness;Journal of Business Ethics;2024-01-20

2. The effect of bonus hunger on automobile insurance;PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES AND TECHNOLOGY 2022 (MATHTECH 2022): Navigating the Everchanging Norm with Mathematics and Technology;2024

3. Microscopic traffic models, accidents, and insurance losses;ASTIN Bulletin;2024-01

4. Predicting Damage Incidents, Fines, and Fuel Consumption from Truck Driver Data: A Study from the Netherlands;Transportation Research Record: Journal of the Transportation Research Board;2023-12-13

5. Privacy Protection, At What Cost? Exploring the Regulatory Resistance to Data Technology in Auto Insurance;Journal of Legal Analysis;2023-08-23

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3