A censored copula model for micro-level claim reserving
Résumé
In this paper, we consider the question of predicting the final amount of a claim and its distribution from micro-level data. A copula model is used to describe the dependence between the amount of a claim and its duration (that is the time between its occurence and its closure). Due to the presence of censoring, we adapt classical methodologies using a weighting scheme that corrects the bias caused by this in-completeness in the data. Theoretical results and simulation support the validity of the procedure. A real case coming from medical malpractice claims is presented.
Domaines
Statistiques [math.ST]
Origine : Fichiers produits par l'(les) auteur(s)
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