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Predictive modeling of threshold life tables

Recurso electrónico / Electronic resource
MARC record
Tag12Value
LDR  00000cab a2200000 4500
001  MAP20200018148
003  MAP
005  20200602122544.0
008  200528e20200501usa|||p |0|||b|eng d
040  ‎$a‎MAP‎$b‎spa‎$d‎MAP
084  ‎$a‎6
100  ‎$0‎MAPA20110030926‎$a‎Ji, Min
24510‎$a‎Predictive modeling of threshold life tables‎$c‎Min Ji, Mostafa Aminzadeh, Min Deng
520  ‎$a‎Accurate modeling of mortality at advanced ages is crucial to the valuation of pension plans and life annuities, especially longevity annuities for which annuity payments start very late in life, say age 85. Parametric regression models extrapolate lifetime distribution to the advanced ages but do not guarantee goodness fit. Threshold life tables offer an alternative solution to this problem using piecewise distribution via the peaks-over-threshold approach in the extreme value family. However, parameter estimation of this model is challenging, especially the determination of the threshold. Regular estimation methods do not guarantee a smooth life table. In this research, we impose parameter constraints to achieve a smooth threshold life table and propose a Bayesian approach to obtain Bayes estimates of the parameters and approximate predictive density via simulation, which can be used to compute life expectancy and other measures of interest in a Bayesian framework.
650 4‎$0‎MAPA20080599300‎$a‎Tablas de mortalidad
650 4‎$0‎MAPA20080602642‎$a‎Modelos de simulación
650 4‎$0‎MAPA20080592455‎$a‎Planes de pensiones
650 4‎$0‎MAPA20080573614‎$a‎Renta vitalicia
650 4‎$0‎MAPA20080625894‎$a‎Métodos de estimación objetiva
650 4‎$0‎MAPA20100065242‎$a‎Teorema de Bayes
650 4‎$0‎MAPA20080580377‎$a‎Esperanza de vida
7001 ‎$0‎MAPA20200012719‎$a‎Aminzadeh, Mostafa
7001 ‎$0‎MAPA20200012726‎$a‎Deng, Min
7730 ‎$w‎MAP20077000239‎$t‎North American actuarial journal‎$d‎Schaumburg : Society of Actuaries, 1997-‎$x‎1092-0277‎$g‎01/06/2020 Tomo 24 Número 2 - 2020 , p. 316-332