AffineMortality: An R package for estimation, analysis, and projection of affine mortality models

被引:0
|
作者
Ungolo, Francesco [1 ,2 ,3 ]
Garces, Len Patrick Dominic M. [2 ,4 ]
Sherris, Michael [1 ,2 ]
Zhou, Yuxin [1 ,2 ]
机构
[1] Univ New South Wales, Sch Risk & Actuarial Studies, Kensington, NSW, Australia
[2] Univ New South Wales, ARC Ctr Excellence Populat Ageing Res, Kensington, NSW, Australia
[3] Tech Univ Munich, Garching, Germany
[4] Univ Technol Sydney, Sch Math & Phys Sci, Ultimo, NSW, Australia
基金
澳大利亚研究理事会;
关键词
Longevity risk; Kalman filter; State-space models; Affine mortality; TERM STRUCTURE; STOCHASTIC MORTALITY; LIFE-INSURANCE; SURFACE;
D O I
10.1017/S1748499524000149
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper presents the AffineMortality R package which performs parameter estimation, goodness-of-fit analysis, simulation, and projection of future mortality rates for a set of affine mortality models for use in pricing and reserving. The computational routines build on the univariate Kalman Filtering approach of Koopman and Durbin ((2000). Journal of Time Series Analysis, 21(3), 281-296.) along other numerical methods to enhance the robustness of the results. This paper provides a discussion of how the package works in order to effectively estimate and project survival curves, and describes the available functions. Illustration of the package for mortality analysis of the US male data set is provided.
引用
收藏
页数:26
相关论文
共 50 条
  • [41] GMM estimation of affine term structure models
    Hlouskova, Jaroslava
    Soegner, Leopold
    ECONOMETRICS AND STATISTICS, 2020, 13 : 2 - 15
  • [42] hermiter: R package for sequential nonparametric estimation
    Michael Stephanou
    Melvin Varughese
    Computational Statistics, 2024, 39 : 1127 - 1163
  • [43] bmd: an R package for benchmark dose estimation
    Jensen, Signe M.
    Kluxen, Felix M.
    Streibig, Jens C.
    Cedergreen, Nina
    Ritz, Christian
    PEERJ, 2020, 8
  • [44] Variance Estimation Using Package vardpoor in R
    Breidaks, Juris
    ROMANIAN STATISTICAL REVIEW, 2015, (02) : 24 - 38
  • [45] maxLik: A package for maximum likelihood estimation in R
    Arne Henningsen
    Ott Toomet
    Computational Statistics, 2011, 26 : 443 - 458
  • [46] crs: A PACKAGE FOR NONPARAMETRIC SPLINE ESTIMATION IN R
    Ho, Anson T. Y.
    Huynh, Kim P.
    Jacho-Chavez, David T.
    JOURNAL OF APPLIED ECONOMETRICS, 2014, 29 (02) : 348 - 352
  • [47] An Improved Diffusion Affine Projection Estimation Algorithm for Wireless Sensor Networks
    Hu, Limei
    Chen, Feng
    Duan, Shukai
    Wang, Lidan
    Wu, Jiagui
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2020, 39 (06) : 3173 - 3188
  • [48] maxLik: A package for maximum likelihood estimation in R
    Henningsen, Arne
    Toomet, Ott
    COMPUTATIONAL STATISTICS, 2011, 26 (03) : 443 - 458
  • [49] BBMV: an R package for the estimation of macroevolutionary landscapes
    Boucher, Florian C.
    ECOGRAPHY, 2019, 42 (03) : 558 - 564
  • [50] hermiter: R package for sequential nonparametric estimation
    Stephanou, Michael
    Varughese, Melvin
    COMPUTATIONAL STATISTICS, 2024, 39 (03) : 1127 - 1163