Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52633
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dc.contributor.authorGómez-Déniz, E.en_US
dc.date.accessioned2018-12-05T13:33:18Z-
dc.date.available2018-12-05T13:33:18Z-
dc.date.issued2016en_US
dc.identifier.issn0167-6687en_US
dc.identifier.urihttp://hdl.handle.net/10553/52633-
dc.description.abstractWe propose a modification of the bonus-malus system of tarification that is commonly applied in automobile insurance. Under the standard system, the premium assigned to each policyholder is based only on the number of claims made. Therefore, a policyholder who has had an accident producing a relatively small amount of loss is penalised to the same extent as one who has had a more costly accident. This outcome would seem to be unfair.Accordingly, we present a statistical model which distinguishes between two different types of claims, incorporating a bivariate distribution based on the assumption of dependence. We also describe a bivariate prior distribution conjugated with respect to the likelihood. This approach produces credibility bonus-malus premiums that satisfy appropriate transition rules. A practical example of its application is presented and the results obtained are compared with those derived from the traditional Poisson-Gamma model in which only the number of claims is taken into account.en_US
dc.languageengen_US
dc.relation.ispartofInsurance: Mathematics and Economicsen_US
dc.sourceInsurance: Mathematics and Economics[ISSN 0167-6687],v. 70, p. 117-124en_US
dc.subject530405 Segurosen_US
dc.subject.otherBayesianen_US
dc.subject.otherBonus-malus systemen_US
dc.subject.otherClaimen_US
dc.subject.otherClaim sizeen_US
dc.subject.otherConjugate distributionen_US
dc.subject.otherRelativityen_US
dc.titleBivariate credibility bonus-malus premiums distinguishing between two types of claimsen_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1016/j.insmatheco.2016.06.009
dc.identifier.scopus84977566903
dc.identifier.isi000383828200010
dc.contributor.authorscopusid15724912000
dc.description.lastpage124-
dc.description.firstpage117-
dc.relation.volume70-
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.contributor.daisngid610603
dc.contributor.wosstandardWOS:Gomez-Deniz, E
dc.date.coverdateSeptiembre 2016
dc.identifier.ulpgces
dc.description.sjr0,938
dc.description.jcr1,363
dc.description.sjrqQ1
dc.description.jcrqQ2
dc.description.scieSCIE
dc.description.ssciSSCI
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR TIDES- Técnicas estadísticas bayesianas y de decisión en la economía y empresa-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0002-5072-7908-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.fullNameGómez Déniz, Emilio-
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