Work

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

Year: 2026

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19697405

Authors: Camarda, Carlo-Giovanni, Battaglini, Marco, Capacci, Giorgia, Capuano, Silvia, Caselli, Graziella

Institutions: Institut national d'études démographiques, Istituto Nazionale di Statistica, Sapienza University of Rome

Language: English

Topic: Insurance, Mortality, Demography, Risk Management

Subfield: Demography

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7155200964

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