A Tale of Two Pathways to Gompertz Mortality: Reliability and Vitality from an Actuarial Perspective
Guoqian Li, Kenneth Q. Zhou, Xiaobai Zhu
Abstract
This paper studies two mechanistic explanations for human mortality by examining reliability theory and vitality modelling through a unified actuarial perspective. While the two approaches arise from different ageing mechanisms, we show that both can naturally generate the Gompertz law under suitable assumptions and can be extended to produce the Makeham law and late-life mortality plateaus. Using Canadian mortality data, we investigate the empirical behaviour of each approach and highlight the roles of heterogeneity, extrinsic risk, and stochastic randomness. Furthermore, we develop parallel definitions of biological age under both approaches and analyse how subjective survival beliefs emerge from misspecified parameters. Our comparison of these two approaches provides actuarial insights into the natural foundations of Gompertz mortality and the interpretation of ageing, frailty and death.
Create a lesson
Related papers
Statistical Theory in the Age of Machine-Assisted Mathematics: Rethinking How Theory Is Made and Taught
Pietro Coretto
Statistical Leadership of What? Statistics After AI
Anders Gorst-Rasmussen
When to take one box, when to take two: A concrete analysis of Newcomb's problem
Radford M. Neal
Algorithms for optimizing model-based incomplete block designs
Jonas Bjermo, Frank Miller
Data Assimilation: Addressing Spurious Correlations and Scalability Issues
Eric Crislip, Moe Khalil, Kyle Neal
Becoming Good Stewards of Information: A framework for integrating ethical, civic, and professional formation throughout the statistics and data science curriculum
Kaitlyn G Fitzgerald