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Modelling and forecasting mortality in Spain

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Modelling and forecasting mortality in Spain

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dc.contributor.author Debón Aucejo, Ana María es_ES
dc.contributor.author Montes, F. es_ES
dc.contributor.author Puig, F es_ES
dc.date.accessioned 2016-02-16T15:26:44Z
dc.date.available 2016-02-16T15:26:44Z
dc.date.issued 2008-09
dc.identifier.issn 0377-2217
dc.identifier.uri http://hdl.handle.net/10251/60937
dc.description.abstract [EN] Experience shows that static life tables overestimate death probabilities. As a consequence of this overestimation the premiums for annuities, pensions and life insurance are not what they actually should be, with negative effects for insurance companies or policy-holders. The reason for this overestimation is that static life tables, through being computed for a specific period of time, cannot take into account the decreasing mortality trend over time. Dynamic life tables overcome this problem by incorporating the influence of the calendar when graduating mortality. Recent papers on the topic look for the development of new methods to deal with this dynamism. Most methods used in dynamic tables are parametric, apply traditional mortality laws and then analyse the evolution of estimated parameters with time series techniques. Our contribution consists in extending and applying Lee–Carter methods to Spanish mortality data, exploring residuals and future trends. es_ES
dc.description.sponsorship This work was partially supported by a grant from MEyC (Ministerio de Educacio´n y Ciencia, Spain, project MTM-2004-06231). The research of Francisco Montes has also been partially supported by a grant from DGITT (Direccio´ General d’Investigacio´ i Transfere`ncia Tecnolo`gica de la Generalitat Valenciana, project GRUPOS03/189).
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof European Journal of Operational Research es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Forecasting es_ES
dc.subject Dynamic life tables es_ES
dc.subject Lee–Carter es_ES
dc.subject Bootstrap confidence intervals es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.title Modelling and forecasting mortality in Spain es_ES
dc.type Artículo es_ES
dc.type Comunicación en congreso
dc.identifier.doi 10.1016/j.ejor.2006.07.050
dc.relation.projectID info:eu-repo/grantAgreement/MEC//MTM2004-06231/ES/MODELIZACION ESTADISTICA PARA DATOS CON IMPLANTACION ESPACIAL Y EVOLUCION TEMPORAL. APLICACIONES EN TABLAS DINAMICAS DE MORTALIDAD Y POTENCIALES EVOCADOS EN PSICOLOGIA Y NEUROFISIOLOGIA./ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//GRUPOS03%2F189/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.description.bibliographicCitation Debón Aucejo, AM.; Montes, F.; Puig, F. (2008). Modelling and forecasting mortality in Spain. European Journal of Operational Research. 189(3):624-637. https://doi.org/10.1016/j.ejor.2006.07.050 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 3rd Biannual Conference on Operational Research Peripatetic
dc.relation.conferencedate September 06-10, 2005
dc.relation.conferenceplace Valencia, Spain
dc.relation.publisherversion http://dx.doi.org/10.1016/j.ejor.2006.07.050 es_ES
dc.description.upvformatpinicio 624 es_ES
dc.description.upvformatpfin 637 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 189 es_ES
dc.description.issue 3 es_ES
dc.relation.senia 33599 es_ES
dc.contributor.funder Ministerio de Educación y Ciencia
dc.contributor.funder Generalitat Valenciana


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