How do we age? A decomposition of Gompertz law

A strong regularity of human life is Gompertz's law, which predicts a near-perfect exponential increase in mortality with age. In this paper, we take into account that chronological age is not a cause of death and decompose Gompertz's law into two equally strong laws: (i) an exponential increase in health deficits as measured by the frailty index, and (ii) a power law association between the frailty index and the mortality rate. We show how the increase in the frailty index can be derived from the feature of self-productivity of health deficits. We explore the robustness of the Gompertz decomposition across countries, sex, and over time and show how information about mortality rates can be used to infer the state of health of an age-structured population. Finally, we use this method to infer the biological ages of past populations, such as Australians in 1940 and Swedes in 1770.

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Publication Details

Journal
Journal of Health Economics
Published
2025-03-19
DOI
https://doi.org/10.1016/j.jhealeco.2025.102988
Citations
3
Primary Topic
Insurance, Mortality, Demography, Risk Management
Type
article
Field-Weighted Citation Impact
16.78
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article

How do we age? A decomposition of Gompertz law

Holger Strulik, Casper Worm Hansen
3 citations
Journal of Health Economics
Insurance, Mortality, Demography, Risk Management
16.78
article

How do we age? A decomposition of Gompertz law

Holger Strulik, Casper Worm Hansen
article en
3 citations

Abstract

A strong regularity of human life is Gompertz's law, which predicts a near-perfect exponential increase in mortality with age. In this paper, we take into account that chronological age is not a cause of death and decompose Gompertz's law into two equally strong laws: (i) an exponential increase in health deficits as measured by the frailty index, and (ii) a power law association between the frailty index and the mortality rate. We show how the increase in the frailty index can be derived from the feature of self-productivity of health deficits. We explore the robustness of the Gompertz decomposition across countries, sex, and over time and show how information about mortality rates can be used to infer the state of health of an age-structured population. Finally, we use this method to infer the biological ages of past populations, such as Australians in 1940 and Swedes in 1770.

Journal of Health EconomicsVol. 101
University of Copenhagen (DK), Center for Economic and Policy Research (US), Nephrologisches Zentrum Goettingen (DE)
Peace, Justice and strong institutions
Openalex Percentile: Top 1%
Insurance, Mortality, Demography, Risk Management
16.78
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