How To Use Public-Private Databases In Insurance Risk Management: Geography, Climate And People In Motor Insurance

This work focuses on the use of public information sources in the application of relational models in insurance companies, for a better understanding of risks and assisting decision-making in new sustainability environments. Firstly, we propose using Eurostat's degree of urbanization methodolog...

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Detalhes bibliográficos
Autores: Céspedes, Luis, Santolino, Miguel, Ayuso, Mercedes
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Recursos:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/217522
Acesso em linha:https://hdl.handle.net/2445/217522
Access Level:acceso abierto
Palavra-chave:Desenvolupament sostenible
Companyies d'assegurances
Risc (Assegurances)
Bases de dades
Sustainable development
Insurance companies
Risk (Insurance)
Databases
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spelling How To Use Public-Private Databases In Insurance Risk Management: Geography, Climate And People In Motor InsuranceCéspedes, LuisSantolino, MiguelAyuso, MercedesDesenvolupament sostenibleCompanyies d'assegurancesRisc (Assegurances)Bases de dadesSustainable developmentInsurance companiesRisk (Insurance)DatabasesThis work focuses on the use of public information sources in the application of relational models in insurance companies, for a better understanding of risks and assisting decision-making in new sustainability environments. Firstly, we propose using Eurostat's degree of urbanization methodology to group motor claims or policies into potentially more homogeneous categories in the insurance sector (urban / suburban / rural) for segmentation and analysis. Secondly, we analyze how insurance companies can use local weather information in conjunction with the degree of urbanization to model the number of motor claims in a specific geographic area. Finally, we apply relational models to databases with anonymized information on passengers in traffic accidents provided by the Spanish General Traffic Directorate for the purpose of better defining the characteristics of the claim based on the profile of the people inside the vehicle. It is about knowing, for example, the profile of the passengers in vehicles driven by elderly people, also in conjunction with sex and the geographical area. Insurance companies know the enormous potential of data analytics and must focus on the search for relationships using information that may be dispersed in multiple databases, including those that are for public use and that can facilitate the homogenization and comparison of results, together to the design of preventive and risk management policies. We also include the R codes making them available to the insurance sector and academia for use.Instituto de Actuarios Españoles2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/217522Articles publicats en revistes (Econometria, Estadística i Economia Aplicada)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/https://doi.org/10.26360/2024_08Anales del Instituto de Actuarios Españoles, 2024, num.30, p. 147-168https://doi.org/https://doi.org/10.26360/2024_08(c) Instituto de Actuarios Españoles, 2024info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/2175222026-05-27T06:46:51Z
dc.title.none.fl_str_mv How To Use Public-Private Databases In Insurance Risk Management: Geography, Climate And People In Motor Insurance
title How To Use Public-Private Databases In Insurance Risk Management: Geography, Climate And People In Motor Insurance
spellingShingle How To Use Public-Private Databases In Insurance Risk Management: Geography, Climate And People In Motor Insurance
Céspedes, Luis
Desenvolupament sostenible
Companyies d'assegurances
Risc (Assegurances)
Bases de dades
Sustainable development
Insurance companies
Risk (Insurance)
Databases
title_short How To Use Public-Private Databases In Insurance Risk Management: Geography, Climate And People In Motor Insurance
title_full How To Use Public-Private Databases In Insurance Risk Management: Geography, Climate And People In Motor Insurance
title_fullStr How To Use Public-Private Databases In Insurance Risk Management: Geography, Climate And People In Motor Insurance
title_full_unstemmed How To Use Public-Private Databases In Insurance Risk Management: Geography, Climate And People In Motor Insurance
title_sort How To Use Public-Private Databases In Insurance Risk Management: Geography, Climate And People In Motor Insurance
dc.creator.none.fl_str_mv Céspedes, Luis
Santolino, Miguel
Ayuso, Mercedes
author Céspedes, Luis
author_facet Céspedes, Luis
Santolino, Miguel
Ayuso, Mercedes
author_role author
author2 Santolino, Miguel
Ayuso, Mercedes
author2_role author
author
dc.subject.none.fl_str_mv Desenvolupament sostenible
Companyies d'assegurances
Risc (Assegurances)
Bases de dades
Sustainable development
Insurance companies
Risk (Insurance)
Databases
topic Desenvolupament sostenible
Companyies d'assegurances
Risc (Assegurances)
Bases de dades
Sustainable development
Insurance companies
Risk (Insurance)
Databases
description This work focuses on the use of public information sources in the application of relational models in insurance companies, for a better understanding of risks and assisting decision-making in new sustainability environments. Firstly, we propose using Eurostat's degree of urbanization methodology to group motor claims or policies into potentially more homogeneous categories in the insurance sector (urban / suburban / rural) for segmentation and analysis. Secondly, we analyze how insurance companies can use local weather information in conjunction with the degree of urbanization to model the number of motor claims in a specific geographic area. Finally, we apply relational models to databases with anonymized information on passengers in traffic accidents provided by the Spanish General Traffic Directorate for the purpose of better defining the characteristics of the claim based on the profile of the people inside the vehicle. It is about knowing, for example, the profile of the passengers in vehicles driven by elderly people, also in conjunction with sex and the geographical area. Insurance companies know the enormous potential of data analytics and must focus on the search for relationships using information that may be dispersed in multiple databases, including those that are for public use and that can facilitate the homogenization and comparison of results, together to the design of preventive and risk management policies. We also include the R codes making them available to the insurance sector and academia for use.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/217522
url https://hdl.handle.net/2445/217522
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/https://doi.org/10.26360/2024_08
Anales del Instituto de Actuarios Españoles, 2024, num.30, p. 147-168
https://doi.org/https://doi.org/10.26360/2024_08
dc.rights.none.fl_str_mv (c) Instituto de Actuarios Españoles, 2024
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) Instituto de Actuarios Españoles, 2024
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Instituto de Actuarios Españoles
publisher.none.fl_str_mv Instituto de Actuarios Españoles
dc.source.none.fl_str_mv Articles publicats en revistes (Econometria, Estadística i Economia Aplicada)
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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