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Mortality forecasting in geographical space and time

MARC record
Tag12Value
LDR  00000cab a2200000 4500
001  MAP20260013350
003  MAP
005  20260603180823.0
008  260428e20260420bel|||p |0|||b|eng d
040  ‎$a‎MAP‎$b‎spa‎$d‎MAP
084  ‎$a‎6
100  ‎$0‎MAPA20260008035‎$a‎Szentkereszti, Gábor
24510‎$a‎Mortality forecasting in geographical space and time‎$c‎Gábor Szentkereszti and Péter Vékás
520  ‎$a‎The 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
650 4‎$0‎MAPA20080599300‎$a‎Tablas de mortalidad
650 4‎$0‎MAPA20080592011‎$a‎Modelos actuariales
650 4‎$0‎MAPA20100065273‎$a‎Modelo Lee-Carter
650 4‎$0‎MAPA20080608538‎$a‎Seguros de vida riesgo
650 4‎$0‎MAPA20080552114‎$a‎Pensiones
7001 ‎$0‎MAPA20260008042‎$a‎Vékás, Péter
7102 ‎$0‎MAPA20100017661‎$a‎International Actuarial Association
7730 ‎$w‎MAP20077000420‎$g‎20/04/2026 Volumen 56 Número 2 - abril 2026 , 22 p.‎$x‎0515-0361‎$t‎Astin bulletin‎$d‎Belgium : ASTIN and AFIR Sections of the International Actuarial Association