Mortality forecasting in geographical space and time

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<dc:creator>Szentkereszti, Gábor</dc:creator>
<dc:creator>Vékás, Péter </dc:creator>
<dc:creator>International Actuarial Association</dc:creator>
<dc:date>2026-04-20</dc:date>
<dc:description xml:lang="es">Sumario: The article analyses advanced methodologies for mortality forecasting by incorporating spatial and temporal dependencies across populations. Classical LeeCarter and LiLee models are extended through dynamic panel econometric techniques and spatio-temporal models. The study compares different forecasting methods applied to mortality data from 22 European countries. Both point estimate accuracy and the quality of prediction intervals are evaluated. The results show significant improvements in longevity risk modelling for actuarial and demographic applications</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/190608.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Tablas de mortalidad</dc:subject>
<dc:subject xml:lang="es">Modelos actuariales</dc:subject>
<dc:subject xml:lang="es">Modelo Lee-Carter</dc:subject>
<dc:subject xml:lang="es">Seguros de vida riesgo</dc:subject>
<dc:subject xml:lang="es">Pensiones</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Mortality forecasting in geographical space and time</dc:title>
<dc:relation xml:lang="es">En: Astin bulletin. - Belgium : ASTIN and AFIR Sections of the International Actuarial Association = ISSN 0515-0361. - 20/04/2026 Volumen 56 Número 2 - abril 2026 , 22 p.</dc:relation>
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