Producing the Dutch and Belgian mortality projections: a stochastic multi-population standard

被引:16
|
作者
Antonio K. [1 ,2 ,5 ]
Devriendt S. [1 ]
de Boer W. [4 ]
de Vries R. [4 ]
De Waegenaere A. [3 ,5 ]
Kan H.-K. [5 ,6 ]
Kromme E. [4 ,10 ]
Ouburg W. [2 ,5 ,7 ]
Schulteis T. [4 ,8 ]
Slagter E. [5 ,6 ]
van der Winden M. [4 ,9 ]
van Iersel C. [4 ]
Vellekoop M. [2 ,4 ]
机构
[1] Faculty of Economics and Business, KU Leuven
[2] Faculty of Economics and Business, University of Amsterdam, Amsterdam
[3] Center for Economic Research (CentER), Tilburg University, Tilburg
[4] Commissie Sterfte Onderzoek, Koninklijk Actuarieel Genootschap, Utrecht
[5] Werkgroep Prognosetafels, Koninklijk Actuarieel Genootschap, Utrecht
[6] Aegon, The Hague
[7] Delta Lloyd, Amsterdam
[8] Algemene Pensioen Groep (APG), Heerlen
[9] PGGM, Zeist
[10] KPMG, Amstelveen
关键词
Lee and Carter model; Li and Lee model; Longevity risk; Pension calculations; Poisson regression; Professional actuarial associations; Projected mortality; Stochastic mortality models; Stochastic multi-population mortality;
D O I
10.1007/s13385-017-0159-x
中图分类号
学科分类号
摘要
The quantification of longevity risk in a systematic way requires statistically sound forecasts of mortality rates and their corresponding uncertainty. Actuarial associations have a long history and continue to play an important role in the development, application and dispersion of mortality projections for the countries they represent. This paper gives an in depth presentation and discussion of the mortality projections as published by the Dutch (in 2014) and Belgian (in 2015) actuarial associations. The goal of these institutions was to publish a stochastic mortality projection model in line with both rigorous standards of state-of-the-art academic work as well as the requirements of practical work such as robustness and transparency. Constructed by a team of authors from both academia and practice, the developed mortality projection standard is a Li and Lee type multi-population model. To project mortality, a global Western European trend and a country-specific deviation from this trend are jointly modelled with a bivariate time series model. We motivate and document all choices made in the model specification, calibration and forecasting process as well as the model selection strategy. We show the model fit and mortality projections and illustrate the use of the model in several pension-related applications. © 2017, EAJ Association.
引用
收藏
页码:297 / 336
页数:39
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  • [3] Multi-Population Mortality Model: A Practical Approach
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    [J]. SAINS MALAYSIANA, 2018, 47 (06): : 1337 - 1347
  • [4] Multi-population mortality modeling with Levy processes
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    [J]. DECISIONS IN ECONOMICS AND FINANCE, 2023, 46 (02) : 583 - 609
  • [5] Multi-population mortality models: fitting, forecasting and comparisons
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    Kleinow, Torsten
    Cairns, Andrew J. G.
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  • [6] Multi-population mortality modeling with Lévy processes
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  • [7] Multi-population mortality models: A factor copula approach
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    MacMinn, Richard
    Sun, Tao
    [J]. INSURANCE MATHEMATICS & ECONOMICS, 2015, 63 : 135 - 146
  • [8] Multi-population mortality modelling and forecasting with divergence bounds
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  • [9] A Multi-population Locally-Coherent Mortality Model
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  • [10] Multi-population mortality forecasting using tensor decomposition
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    Yu, Honglin
    Haberman, Steven
    [J]. SCANDINAVIAN ACTUARIAL JOURNAL, 2020, 2020 (08) : 754 - 775