Carregant...
Fitxers
Tipus de document
ArticleVersió
Versió acceptadaData de publicació
Tots els drets reservats
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/106603
A posteriori ratemaking using bivariate Poisson models
Títol de la revista
Autors
Director/Tutor
ISSN de la revista
Títol del volum
Recurs relacionat
Resum
Recently, different bivariate Poisson regression models have been used in the actuarial literature to make an a priori ratemaking taking into account the dependence between two types of claims. A natural extension for these models is to consider a posteriori ratemaking (i.e. experience rating models) that also relaxes the independence assumption. We introduce here two bivariate experience rating models that integrate the a priori ratemaking based on the bivariate Poisson regression models, extending the existing literature for the univariate case to the bivariate case. These bivariate experience rating models are applied to an automobile insurance claims data-set to analyse the consequences for posterior premiums when the independence assumption is relaxed. The main finding is that the a posteriori risk factors obtained with the bivariate experience rating models are significantly lower than those factors derived under the independence assumption.
Matèries (anglès)
Citació
Citació
BERMÚDEZ, Lluís, KARLIS, Dimitris. A posteriori ratemaking using bivariate Poisson models. _Scandinavian Actuarial Journal_. 2017. Vol. 2017, núm. 2, pàgs. 148-158. [consulta: 8 de gener de 2026]. ISSN: 0346-1238. [Disponible a: https://hdl.handle.net/2445/106603]