A Semiparametric method for assessing life expectancy evaluations
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| Tag | 1 | 2 | Value |
|---|---|---|---|
| LDR | 00000cab a2200000 4500 | ||
| 001 | MAP20210026126 | ||
| 003 | MAP | ||
| 005 | 20210927115821.0 | ||
| 008 | 210927e20210906esp|||p |0|||b|spa d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a341 | ||
| 100 | 1 | $0MAPA20210032615$aBeng Lim, Hong Beng | |
| 245 | 1 | 0 | $aA Semiparametric method for assessing life expectancy evaluations$cHong Beng Lim, Nariankadu D Shyamalkumar |
| 520 | $aIn the life settlements industry, life expectancy (LE) providers are firms that conduct health underwriting toward predicting the future mortality of an insured. Multiple stakeholders are interested in evaluating the quality of their assessments. There has been some recent interest in better alternatives to the traditional metric for this quality, the A/E ratio: the ratio of actual to expected number of deaths. One such alternative is the implied difference in life expectancies (IDLE) metric proposed by Bauer et al. Its design largely retains the simplicity of the A/E ratio while being informative, unlike the A/E ratio, throughout the life of a policy block. Even though the IDLE is a significant improvement over the A/E ratio, it turns out that the IDLE is sensitive to departures from a key assumption, which motivates our development of a more robust metric. Our proposed methodology for evaluating the quality of the LE assessments involves using a survival regression model for estimating the mortality distribution of the insureds, with the average deviation of the life assessments from those derived using this model serving as a metric. In particular, we show that utilizing a Cox proportional hazards model with covariates derived from the LE assessments results in a robust yet well-performing alternative to both the A/E ratio and the IDLE. | ||
| 650 | 4 | $0MAPA20080570590$aSeguro de vida | |
| 650 | 4 | $0MAPA20080580377$aEsperanza de vida | |
| 650 | 4 | $0MAPA20080586331$aMétodos analíticos | |
| 700 | 1 | $0MAPA20100046371$aShyamalkumar, Nariankadu D. | |
| 773 | 0 | $wMAP20077000239$tNorth American actuarial journal$dSchaumburg : Society of Actuaries, 1997-$x1092-0277$g06/09/2021 Tomo 25 Número 3 - 2021 , p. 360-394 | |
| 856 | $yMÁS INFORMACIÓN$umailto:centrodocumentacion@fundacionmapfre.org?subject=Consulta%20de%20una%20publicaci%C3%B3n%20&body=Necesito%20m%C3%A1s%20informaci%C3%B3n%20sobre%20este%20documento%3A%0A%0A%5Banote%20el%20titulo%20completo%20del%20documento%20del%20que%20desea%20informaci%C3%B3n%5D%0A%0AGracias |