Estimating Mortality at Extreme Ages. Does Data Structure Matter? Evidence from Italian Women Aged 105+

Using classic parametric mortality models, including the Gompertz and exponential models, we evaluate how the absence of survivor data affects parameter estimates, uncertainty, and model-based conclusions. By systematically contrasting truncated and non-truncated settings, this study provides a robust empirical foundation for contexts where only death data are available and contributes new evidence to the debate on whether human mortality reaches a plateau among the oldest-old.

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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.19697405
Primary Topic
Insurance, Mortality, Demography, Risk Management
Type
article
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0.00
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article

Estimating Mortality at Extreme Ages. Does Data Structure Matter? Evidence from Italian Women Aged 105+

Giorgia Capacci, Graziella Caselli, Carlo-Giovanni Camarda, Silvia Capuano et al.
Zenodo (CERN European Organization for Nuclear Research)
Insurance, Mortality, Demography, Risk Management
article

Estimating Mortality at Extreme Ages. Does Data Structure Matter? Evidence from Italian Women Aged 105+

Giorgia Capacci, Graziella Caselli, Carlo-Giovanni Camarda, Silvia Capuano, Marco Battaglini
article en

Abstract

Using classic parametric mortality models, including the Gompertz and exponential models, we evaluate how the absence of survivor data affects parameter estimates, uncertainty, and model-based conclusions. By systematically contrasting truncated and non-truncated settings, this study provides a robust empirical foundation for contexts where only death data are available and contributes new evidence to the debate on whether human mortality reaches a plateau among the oldest-old.

Zenodo (CERN European Organization for Nuclear Research)
Institut national d'études démographiques (FR), Sapienza University of Rome (IT)
Good health and well-being
Openalex Percentile: Top 3%
Insurance, Mortality, Demography, Risk Management
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