Herramientas estadisticas para el estudio de perfiles de riesgo
Eva Boj,
M. Mercedes Claramunt Bielsa and
Jose Fortiana Gregori
Additional contact information
Jose Fortiana Gregori: Universitat de Barcelona
No 88, Working Papers in Economics from Universitat de Barcelona. Espai de Recerca en Economia
Abstract:
In this paper it is illustrated, in a practical way, the use of three tools that permit the actuary to define tariff groups and to estimate risk premiums in the class-rating process for non-life insurance. The first is the segmentation analysis (CHAID and XAID) used firstly at 1997 by UNESPA in its common portfolio of automobiles. The second is a stepwise selection process with the distance-based regression model. And the third is a process with the well known generalized linear regression model, which represents the most modern technique in the actuarial bibliography. From the later, if we combine different link functions and error distributions, we can obtain the classical additive and multiplicative models.
JEL-codes: C12 C51 C52 G22 (search for similar items in EconPapers)
Pages: 33 pages
Date: 2002
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.ere.ub.es/dtreball/E0288.rdf/at_download/file
Our link check indicates that this URL is bad, the error code is: 500 Can't connect to www.ere.ub.es:80 (A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond.)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bar:bedcje:200288
Access Statistics for this paper
More papers in Working Papers in Economics from Universitat de Barcelona. Espai de Recerca en Economia Espai de Recerca en Economia, Facultat de Ciències Econòmiques. Tinent Coronel Valenzuela, Num 1-11 08034 Barcelona. Spain.. Contact information at EDIRC.
Bibliographic data for series maintained by Espai de Recerca en Economia ().