Modelling mortality at oldest ages using vitality model: The case of French cohorts

Te objective in this paper is to investigate the performance of the new vitality-based approach that canaccount for variability around the deterministic natural decay trend of vitality in modeling mortality atoldest ages. First, we compare the estimated values of the natural vitality decay parameters that areassumed to follow the Gompertz law (i.e., b and c) to that from a Gompertz law fitted in conventionalway to the observed data. Second, we compare the estimated survival probabilities from this new modelto that estimated from the optimal parametric model proven for these age ranges (i.e., the Beard model).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-22
DOI
https://doi.org/10.5281/zenodo.19697626
Primary Topic
Insurance, Mortality, Demography, Risk Management
Type
article
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article

Modelling mortality at oldest ages using vitality model: The case of French cohorts

Linh Hoang Khanh Dang
Zenodo (CERN European Organization for Nuclear Research)
Insurance, Mortality, Demography, Risk Management
article

Modelling mortality at oldest ages using vitality model: The case of French cohorts

Linh Hoang Khanh Dang
article en

Abstract

Te objective in this paper is to investigate the performance of the new vitality-based approach that canaccount for variability around the deterministic natural decay trend of vitality in modeling mortality atoldest ages. First, we compare the estimated values of the natural vitality decay parameters that areassumed to follow the Gompertz law (i.e., b and c) to that from a Gompertz law fitted in conventionalway to the observed data. Second, we compare the estimated survival probabilities from this new modelto that estimated from the optimal parametric model proven for these age ranges (i.e., the Beard model).

Zenodo (CERN European Organization for Nuclear Research)
University of Bologna (IT)
Good health and well-being
Openalex Percentile: Top 3%
Insurance, Mortality, Demography, Risk Management
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