Tariff Analysis in Automobile Insurance: Is It Time to Switch from Generalized Linear Models to Generalized Additive Models?

Generalized Linear Models (GLMs) are the standard tool used for pricing in the field of automobile insurance. Generalized Additive Models (GAMs) are more complex and computationally intensive but allow taking into account nonlinear effects without the need to discretize the explanatory variables. In...

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Main Authors: Zuleyka Díaz Martínez, José Fernández Menéndez, Luis Javier García Villalba
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/18/3906
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author Zuleyka Díaz Martínez
José Fernández Menéndez
Luis Javier García Villalba
author_facet Zuleyka Díaz Martínez
José Fernández Menéndez
Luis Javier García Villalba
author_sort Zuleyka Díaz Martínez
collection DOAJ
description Generalized Linear Models (GLMs) are the standard tool used for pricing in the field of automobile insurance. Generalized Additive Models (GAMs) are more complex and computationally intensive but allow taking into account nonlinear effects without the need to discretize the explanatory variables. In addition, they fit perfectly into the mental framework shared by actuaries and are easier to use and interpret than machine learning models, such as trees or neural networks. This work compares both the GLM and GAM approaches, using a wide sample of policies to assess their differences in terms of quality of predictions, complexity of use, and time of execution. The results show that GAMs are a powerful alternative to GLMs, particularly when “big data” implementations of GAMs are used.
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spelling doaj.art-374c5f8a161f46179f4d8faeb7f7e1fe2023-11-19T11:49:13ZengMDPI AGMathematics2227-73902023-09-011118390610.3390/math11183906Tariff Analysis in Automobile Insurance: Is It Time to Switch from Generalized Linear Models to Generalized Additive Models?Zuleyka Díaz Martínez0José Fernández Menéndez1Luis Javier García Villalba2Group of Analysis, Security and Systems (GASS), Department of Financial and Actuarial Economics & Statistics, Faculty of Economics and Business Administration, Universidad Complutense de Madrid (UCM), Campus Somosaguas, 28223 Madrid, SpainDepartment of Business Administration, Faculty of Economics and Business Administration, Universidad Complutense de Madrid (UCM), Campus Somosaguas, 28223 Madrid, SpainGroup of Analysis, Security and Systems (GASS), Department of Software Engineering and Artificial Intelligence (DISIA), Faculty of Computer Science and Engineering, Office 431, Universidad Complutense de Madrid (UCM), Calle Profesor José García Santesmases, 9, Ciudad Universitaria, 28040 Madrid, SpainGeneralized Linear Models (GLMs) are the standard tool used for pricing in the field of automobile insurance. Generalized Additive Models (GAMs) are more complex and computationally intensive but allow taking into account nonlinear effects without the need to discretize the explanatory variables. In addition, they fit perfectly into the mental framework shared by actuaries and are easier to use and interpret than machine learning models, such as trees or neural networks. This work compares both the GLM and GAM approaches, using a wide sample of policies to assess their differences in terms of quality of predictions, complexity of use, and time of execution. The results show that GAMs are a powerful alternative to GLMs, particularly when “big data” implementations of GAMs are used.https://www.mdpi.com/2227-7390/11/18/3906automobile insurancegeneralized additive modelssplinestariff analysis
spellingShingle Zuleyka Díaz Martínez
José Fernández Menéndez
Luis Javier García Villalba
Tariff Analysis in Automobile Insurance: Is It Time to Switch from Generalized Linear Models to Generalized Additive Models?
Mathematics
automobile insurance
generalized additive models
splines
tariff analysis
title Tariff Analysis in Automobile Insurance: Is It Time to Switch from Generalized Linear Models to Generalized Additive Models?
title_full Tariff Analysis in Automobile Insurance: Is It Time to Switch from Generalized Linear Models to Generalized Additive Models?
title_fullStr Tariff Analysis in Automobile Insurance: Is It Time to Switch from Generalized Linear Models to Generalized Additive Models?
title_full_unstemmed Tariff Analysis in Automobile Insurance: Is It Time to Switch from Generalized Linear Models to Generalized Additive Models?
title_short Tariff Analysis in Automobile Insurance: Is It Time to Switch from Generalized Linear Models to Generalized Additive Models?
title_sort tariff analysis in automobile insurance is it time to switch from generalized linear models to generalized additive models
topic automobile insurance
generalized additive models
splines
tariff analysis
url https://www.mdpi.com/2227-7390/11/18/3906
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AT josefernandezmenendez tariffanalysisinautomobileinsuranceisittimetoswitchfromgeneralizedlinearmodelstogeneralizedadditivemodels
AT luisjaviergarciavillalba tariffanalysisinautomobileinsuranceisittimetoswitchfromgeneralizedlinearmodelstogeneralizedadditivemodels