1. Producing the Dutch and Belgian mortality projections
- Author
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Marco van der Winden, Wilbert Ouburg, Robert de Vries, Anja De Waegenaere, Sander Devriendt, Erica Slagter, Hok-Kwan Kan, Katrien Antonio, Corné van Iersel, Egbert Kromme, Wouter de Boer, Michel Vellekoop, Tim Schulteis, Faculteit Economie en Bedrijfskunde, Actuarial Science & Mathematical Finance (ASE, FEB), ABS Other Research (FEB), Econometrics and Operations Research, and Research Group: Accounting
- Subjects
Statistics and Probability ,Stochastic multi-population mortality ,Economics and Econometrics ,Professional actuarial associations ,Lee–Carter model ,Bivariate analysis ,01 natural sciences ,Poisson regression ,010104 statistics & probability ,Li and Lee model ,0502 economics and business ,Econometrics ,Economics ,0101 mathematics ,Time series ,Stochastic mortality models ,Publication ,Lee and Carter model ,050208 finance ,Actuarial science ,Longevity risk ,business.industry ,Model selection ,Mathematical finance ,05 social sciences ,Specification ,Projected mortality ,Pension calculations ,Statistics, Probability and Uncertainty ,business - Abstract
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.
- Published
- 2017
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