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Generalized estimating equations in claims reserving

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10125099" target="_blank" >RIV/00216208:11320/12:10125099 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Generalized estimating equations in claims reserving

  • Original language description

    The classical approaches to claims reserving problem are based on the limiting assumption that the claims in different years are independent variables. If this assumption is violated then the classical techniques provide incorrect pre- diction of the claims reserves. Hence, methods that enable modeling the dependencies among the observations are needed. In this article we show the application of generalized estimating equations (GEE) for estimation of claims reserves, and we discuss the potential benefits of this approach. It is shown that this approach leads to reasonable estimates of the outstanding loss liabilities. The method is illustrated on a Tweedie's compound Poisson model for the incremental claims since the Tweedie's family of distributionsprovides a flexible approach for modeling incremental claims within the framework of generalized linear models (GLM). Details on computation and implementation in the R program are provided.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GBP402%2F12%2FG097" target="_blank" >GBP402/12/G097: DYME-Dynamic Models in Economics</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 27th International Workshop on Statistical Modelling

  • ISBN

    978-80-263-0251-3

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    555-560

  • Publisher name

    Tribun EU

  • Place of publication

    Brno

  • Event location

    Praha

  • Event date

    Jul 16, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article