Characteristics Approach to Population Aging
The characteristics approach reconceptualizes what it means to be 'old' by measuring age through people's characteristics rather than the number of years since birth. Developed by Warren Sanderson and Sergei Scherbov and set out comprehensively in their 2013 Population and Development Review article, it responds to the fact that conventional aging measures treat a fixed chronological age, such as 65, as a permanent marker of old age even though people at 65 today are healthier and longer-lived than their counterparts decades ago. The core idea is that many relevant attributes, such as remaining life expectancy, health, cognitive function, and disability, vary with both age and time, so old age should be defined by reaching a given level of such a characteristic rather than a fixed birthday. The approach computes equivalent or 'alpha' ages, the ages at which a characteristic takes a chosen reference value, and uses them to build characteristic-based aging indicators. Comparing these with conventional measures often shows that populations are aging more slowly, or even getting younger on some dimensions, than chronological measures suggest. The framework has reshaped how demographers assess the consequences of population aging.
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- Sanderson, W. C., & Scherbov, S. (2013). The characteristics approach to the measurement of population aging. Population and Development Review, 39(4), 673-685. DOI: 10.1111/j.1728-4457.2013.00633.x ↗
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ScholarGate. (2026, June 23). Characteristics Approach to the Measurement of Population Aging (Sanderson-Scherbov). ScholarGate. https://scholargate.app/sw/social-gerontology/characteristics-approach-aging
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- Dependency RatioDemografia↔ linganisha
- Healthy Life ExpectancyDemografia↔ linganisha
- Prospective Old-Age Dependency RatioSocial Gerontology↔ linganisha
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