Do young insured drivers slow down after suffering an accident?

Pérez-Marín, Ana M.; Ayuso, Mercedes; Guillén, Montserrat

doi:10.1016/j.trf.2019.02.021

Cited by 14 publications

(8 citation statements)

References 26 publications

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“…With this objective, Table 2 shows the dependence parameters estimated with both models, and the AIC and BIC statistics without including the covariates and including them. Using expression (14) and without covariates, from the dependence parametersω = 14.883, it can be deduced that the estimated correlation is 0.0601, which is within the confidence interval of the Pearson correlation as shown in the last row of Table 1. On the contrary, if we use the five parameter Beta distribution, the (residual) correlation that is obtained from the numerical calculation of expression ( 5) is practically zero.…”

Section: Numerical Analysissupporting

confidence: 52%

“…The explanatory variables are the characteristics of the insured policyholder and the vehicle. The database used in our application has already been analysed in various works published in statistical, transport and risk analysis journals (see [11][12][13][14][15][16][17]). In all previous studies, the two telematics variables that we analyse here were used as predictors of the accident rate, and they were assumed to be uncorrelated.…”

Section: Introductionmentioning

confidence: 99%

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A Sarmanov Distribution with Beta Marginals: An Application to Motor Insurance Pricing

2020

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Background: The Beta distribution is useful for fitting variables that measure a probability or a relative frequency. Methods: We propose a Sarmanov distribution with Beta marginals specified as generalised linear models. We analyse its theoretical properties and its dependence limits. Results: We use a real motor insurance sample of drivers and analyse the percentage of kilometres driven above the posted speed limit and the percentage of kilometres driven at night, together with some additional covariates. We fit a Beta model for the marginals of the bivariate Sarmanov distribution. Conclusions: We find negative dependence in the high quantiles indicating that excess speed and night-time driving are not uniformly correlated.

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Section: Numerical Analysissupporting

confidence: 52%

Section: Introductionmentioning

confidence: 99%

A Sarmanov Distribution with Beta Marginals: An Application to Motor Insurance Pricing

2020

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“…First, it monitors driving safety. This feature is particularly helpful to young and inexperienced drivers because 16-19-year-old motorists have the highest rate of road accidents than any other group (Symons et al, 2019;Pérez-Marín et al, 2019). The technology also reduces car theft and fraud, improves claim response time, and contributes to lower harmful gas emissions.…”

Section: Introductionmentioning

confidence: 99%

Millennials Acceptance of Insurance Telematics: An Integrative Empirical Study

Tian

Prybutok

Mirzaei

et al. 2020

ABR

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Insurance telematics is a recent technology-enabled service innovation advanced by insurance companies and adopted by millions of drivers worldwide. This research study explores the insurance telematics technology acceptance and use among the new Millennials generation, which represents both a challenge and an opportunity for insurers. Drawing on the Technology Acceptance Model (TAM) and the Theory of Planned Behaviour (TPB), the study uses data from 138 Millennials in the USA to delve into their perceived attitudinal behavior and intention to use insurance telematics. The findings provide empirical confirmation of the integrative and predictive power of the proposed combined theoretical framework (TAM-TPB) to explain insurance telematics adoption and use. The results also suggest a sophistication-level shift in Millennials preferences from functionality evaluation to applicability value sought through the adoption and use. And the findings ascertain the role of perceived enjoyment, trust, and social media as critical factors influencing Millennials attitudinal behavior and intention to use insurance telematics. Considering these results, the authors further discuss implications for scholars and practitioners, and suggest future research directions.

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“…Here, these factors, as well as a lack of information about driving behavior, contribute to unobserved heterogeneity. Indeed, telemetric research points to a close relationship between driving behavior and crash severity [ 51 , 60 , 61 , 62 , 63 , 64 ]. The incorporation of driving behavior information into the model could differentiate aspects that would further understanding of the influence of traditional risk factors.…”

Section: Discussionmentioning

confidence: 99%

The Impact of Aging Drivers and Vehicles on the Injury Severity of Crash Victims

Santolino

Céspedes²,

Ayuso

2022

IJERPH

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Against a general trend of increasing driver longevity, the injuries suffered by vehicle occupants in Spanish road traffic crashes are analyzed by the level of severity of their bodily injuries (BI). Generalized linear mixed models are applied to model the proportion of non-serious, serious, and fatal victims. The dependence between vehicles involved in the same crash is captured by including random effects. The effect of driver age and vehicle age and their interaction on the proportion of injured victims is analyzed. We find a nonlinear relationship between driver age and BI severity, with young and older drivers constituting the riskiest groups. In contrast, the expected severity of the crash increases linearly up to a vehicle age of 18 and remains constant thereafter at the highest level of BI severity. No interaction between the two variables is found. These results are especially relevant for countries such as Spain with increasing driver longevity and an aging car fleet.

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Do young insured drivers slow down after suffering an accident?

Cited by 14 publications

References 26 publications

A Sarmanov Distribution with Beta Marginals: An Application to Motor Insurance Pricing

A Sarmanov Distribution with Beta Marginals: An Application to Motor Insurance Pricing

Millennials Acceptance of Insurance Telematics: An Integrative Empirical Study

The Impact of Aging Drivers and Vehicles on the Injury Severity of Crash Victims

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