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The Characteristics Approach to the Measurement of Population Aging

Bibliographic Data

ID5118147
AuthorsWarren C Sanderson (0000-0002-2205-948X, Professor, Department of Economics State University of New York at Stony Brook), Sergei Scherbov (0000-0002-0881-1073, Director of Demographic Analysis Wittgenstein Centre for Demography and Global Human Capital Vienna)
Year2013
Volume39
Issue4
Pages673-685
Publication date2013-12-01
Open AccessYes
TypeARTICLE
VenuePopulation and Development Review (JOURNAL)
Journal identifiersISSN: 0098-7921 • E-ISSN: 1728-4457
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1728-4457.2013.00633.x
OpenAlexW2004685136
LanguageEN
Citations received35
References cited21

Conventional measures of population aging, such as proportions over age 65, can present a misleading picture of the aging process by not taking account of changes in people's characteristics beyond their chronological age-for example, changes in remaining life expectancy, health and morbidity, disability rates, and cognitive functioning. The "characteristics approach" set out in this article encompasses multiple features of population aging, yielding new measures that can better inform both demographic analysis and public policy debate. We relate the brief history of this approach, examine its basic mathematical structure, and give empirical examples of the insights it offers, drawing on data from West Germany, Japan, Russia, and the United States

Cognition · Cognitive aging · Life expectancy · Population · Population ageing · Set (abstract data type) · Sociology · Computer Science · Demography · Global Health Care Issues · Health disparities and outcomes · Insurance, Mortality, Demography, Risk Management · Medicine · Psychology · Gerontology

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Citations per year2.92
Citation span2014 - 2025 (12)
Highly citedNo

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