Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/130383
Title: The use of telematics devices to improve automobile insurance rates
Author: Guillén, Montserrat
Nielsen, Jens Perch
Ayuso, Mercedes
Pérez Marín, Ana María
Keywords: Risc (Assegurances)
Primes (Assegurances)
Anàlisi de variància
Telemàtica
Risk (Insurance)
Insurance premiums
Analysis of variance
Telematics
Issue Date: Mar-2019
Publisher: Wiley
Abstract: Most automobile insurance databases contain a large number of policyholders with zero claims. This high frequency of zeros may reflect the fact that some insureds make little use of their vehicle, or that they do not wish to make a claim for small accidents in order to avoid an increase in their premium, but it might also be because of good driving. We analyze information on exposure to risk and driving habits using telematics data from a pay‐as‐you‐drive sample of insureds. We include distance traveled per year as part of an offset in a zero‐inflated Poisson model to predict the excess of zeros. We show the existence of a learning effect for large values of distance traveled, so that longer driving should result in higher premiums, but there should be a discount for drivers who accumulate longer distances over time due to the increased proportion of zero claims. We confirm that speed limit violations and driving in urban areas increase the expected number of accident claims. We discuss how telematics information can be used to design better insurance and to improve traffic safety.
Note: Versió postprint del document publicat a: https://doi.org/10.1111/risa.13172
It is part of: Risk Analysis, 2019, vol. 39, num. 3, p. 662-672
URI: http://hdl.handle.net/2445/130383
Related resource: https://doi.org/10.1111/risa.13172
ISSN: 0272-4332
Appears in Collections:Articles publicats en revistes (Econometria, Estadística i Economia Aplicada)

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