Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/113882 
Year of Publication: 
2014
Citation: 
[Journal:] Revista de Métodos Cuantitativos para la Economía y la Empresa [ISSN:] 1886-516X [Volume:] 18 [Publisher:] Universidad Pablo de Olavide [Place:] Sevilla [Year:] 2014 [Pages:] 146-162
Publisher: 
Universidad Pablo de Olavide, Sevilla
Abstract: 
In this paper, a new heavy-tailed distribution is used to model data with a strong right tail, as often occurs in practical situations. The distribution proposed is derived from the lognormal distribution, by using the Marshall and Olkin procedure. Some basic properties of this new distribution are obtained and we present situations where this new distribution correctly reflects the sample behaviour for the right tail probability. An application of the model to dental insurance data is presented and analysed in depth. We conclude that the generalized lognormal distribution proposed is a distribu- tion that should be taken into account among other possible distributions for insurance data in which the properties of a heavy-tailed distribution are present.
Subjects: 
heavy-tailed
insurance
lognormal distribution
loss distribution
JEL: 
C16
Creative Commons License: 
cc-by-sa Logo
Document Type: 
Article

Files in This Item:
File
Size
754.45 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.