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http://hdl.handle.net/2445/200511
Title: | Weather Conditions and Telematics Panel Data in Monthly Motor Insurance Claim Frequency Models |
Author: | Reig Torra, Jan Guillén, Montserrat Pérez Marín, Ana María Rey Gámez, Lorena Aguer, Giselle |
Keywords: | Assegurances d'automòbils Anàlisi de dades de panel Observacions meteorològiques Automobile insurance Panel analysis Meteorological observations |
Issue Date: | 9-Mar-2023 |
Publisher: | MDPI |
Abstract: | Risk analysis in motor insurance aims to identify factors that increase the frequency of accidents. Telematics data is used to measure behavioural information of drivers. Contextual variables include temperature, rain, wind and traffic conditions that are external to the driver, but may also influence the probability of having an accident, as well as vehicle and personal characteristics. This paper uses a monthly panel data structure and the Poisson model to predict the expected frequency of claims over time. Some meteorological information is included. Two types of claims are considered separately: only those related to at-fault third-party liability accidents, and all types of claims including assistance on the road. A sample of drivers in Spain in 2018-2019 is analysed with information on claiming frequency per month. Drivers were observed for seven months. Our analysis is novel because monthly summaries of telematics information are combined with weather data in a panel structure, revealing that external factors affect the expected claims frequencies. Reckless speeding behaviours and intense urban circulation increase the risk of an accident, which also increases with windy conditions. |
Note: | Reproducció del document publicat a: https://doi.org/10.3390/risks11030057 |
It is part of: | Risks , 2023, vol. 11, num. 3, p. 57 |
URI: | http://hdl.handle.net/2445/200511 |
Related resource: | https://doi.org/10.3390/risks11030057 |
ISSN: | 2227-9091 |
Appears in Collections: | Articles publicats en revistes (Econometria, Estadística i Economia Aplicada) |
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