Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/174610
Title: A Sarmanov Distribution with Beta Marginals: An Application to Motor Insurance Pricing
Author: Bolancé Losilla, Catalina
Guillén, Montserrat
Pitarque, Albert
Keywords: Risc (Assegurances)
Assegurances d'automòbils
Anàlisi de regressió
Distribució (Teoria de la probabilitat)
Control predictiu
Risk (Insurance)
Automobile insurance
Regression analysis
Distribution (Probability theory)
Predictive control
Issue Date: 1-Oct-2020
Publisher: MDPI
Abstract: 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.
Note: Reproducció del document publicat a: https://doi.org/10.3390/math8112020
It is part of: Mathematics, 2020, vol. 8, num. 11, p. 2020
URI: http://hdl.handle.net/2445/174610
Related resource: https://doi.org/10.3390/math8112020
ISSN: 2227-7390
Appears in Collections:Articles publicats en revistes (Econometria, Estadística i Economia Aplicada)

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