Please use this identifier to cite or link to this item: https://repositorio.insper.edu.br/handle/11224/4211
Type: Artigo Científico
Title: Estimating total claim size in the auto insurance industry: a comparison between tweedie and zero-adjusted inverse gaussian distribution
Author: Bortoluzzo, Adriana Bruscato
Claro, Danny Pimentel
Caetano, Marco Antonio Leonel
Artes, Rinaldo
Publication Date: 2011
Abstract: The objective of this article is to estimate insurance claims from an auto dataset using the Tweedie and zeroadjusted inverse Gaussian (ZAIG) methods. We identify factors that influence claim size and probability, and compare the results of these methods which both forecast outcomes accurately. Vehicle characteristics like territory, age, origin and type distinctly influence claim size and probability. This distinct impact is not always present in the Tweedie estimated model. Auto insurers should consider estimating total claim size using both the Tweedie and ZAIG methods. This allows for an estimation of confidence interval based on empirical quantiles using bootstrap simulation. Furthermore, the fitted models may be useful in developing a strategy to obtain premium pricing.
Keywords (english terms): auto insurance
claim size
regression
Tweedie
ZAIG mater
Subject: Economia
Language: Inglês
CNPq Area: Ciências Sociais Aplicadas
URI: https://www.scielo.br/j/bar/a/ZstcYdfp8hw3qpdDJqrdQdG/?format=html
Copyright: O INSPER E ESTE REPOSITÓRIO NÃO DETÊM OS DIREITOS DE USO E REPRODUÇÃO DOS CONTEÚDOS AQUI REGISTRADOS. É RESPONSABILIDADE DOS USUÁRIOS INDIVIDUAIS VERIFICAR OS USOS PERMITIDOS NA FONTE ORIGINAL, RESPEITANDO-SE OS DIREITOS DE AUTOR OU EDITOR;
Appears in Collections:Coleção de Artigos Científicos

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