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dc.contributor.authorPérez Marín, Ana María-
dc.contributor.authorGuillén, Montserrat-
dc.contributor.authorAlcañiz, Manuela-
dc.contributor.authorBermúdez, Lluís-
dc.description.abstractWe analyzed real telematics information for a sample of drivers with usage-based insurance policies. We examined the statistical distribution of distance driven above the posted speed limit¿which presents a strong positive asymmetry¿using quantile regression models. We found that, at different percentile levels, the distance driven at speeds above the posted limit depends on total distance driven and, more generally, on factors such as the percentage of urban and nighttime driving and on the driver's gender. However, the impact of these covariates differs according to the percentile level. We stress the importance of understanding telematics information, which should not be limited to simply characterizing average drivers, but can be useful for signaling dangerous driving by predicting quantiles associated with specific driver characteristics. We conclude that the risk of driving for long distances above the speed limit is heterogeneous and, moreover, we show that prevention campaigns should target primarily male non-urban drivers, especially if they present a high percentage of nighttime driving.-
dc.format.extent11 p.-
dc.relation.isformatofReproducció del document publicat a:
dc.relation.ispartofRisks, 2019, vol. 7(3), num. 80, p. 1-11-
dc.rightscc-by (c) Pérez Marín, Ana María et al., 2019-
dc.subject.classificationRisc (Assegurances)-
dc.subject.classificationAssegurances d'automòbils-
dc.subject.classificationAnàlisi de regressió-
dc.subject.otherRisk (Insurance)-
dc.subject.otherAutomobile insurance-
dc.subject.otherRegression analysis-
dc.titleQuantile Regression with Telematics Information to Assess the Risk of Driving above the Posted Speed Limit-
Appears in Collections:Articles publicats en revistes (Matemàtica Econòmica, Financera i Actuarial)
Articles publicats en revistes (Econometria, Estadística i Economia Aplicada)

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