• Vienna Institute of Demography (Ed.)

Vienna Yearbook of Population Research 2016

Special issue on “Population ageing”

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Refereed Articles

A unifying framework for the study of population aging
Warren Sanderson and Sergei Scherbov

Towards a reconceptualising of population ageing in emerging markets
Stuart Gietel-Basten, Sergei Scherbov and Warren Sanderson

Population ageing dynamics in the North Atlantic region of the Arctic
Anastasia Emelyanova and Arja Rautio

Certain characteristics of population ageing using a prospective approach: Serbia as a case study
Jelena Stojilkovic Gnjatovic and Mirjana Devedzic

The impact of physical health on the postponement of retirement
Michael Boissonneault and Joop de Beer

Adjusting prospective old-age thresholds by health status: empirical findings and implications. A case study of Italy
Elena Demuru and Viviana Egidi

Measuring dependency ratios using National Transfer Accounts
Mikkel Christoffer Barslund and Marten von Werder

Subjective survival expectations and observed survival: How consistent are they?
Alberto Palloni and Beatriz Novak

Time-to-death patterns in markers of age and dependency
Tim Riffe, Pil H. Chung, Jeroen Spijker and John MacInnes

A cross-national comparison of 12 biomarkers finds no universal biomarkers of aging among individuals aged 60 and older
David H. Rehkopf, Luis Rosero-Bixby and William H. Dow
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Vienna Yearbook of Population Research 2016
ISSN 1728-4414
Print Edition
ISSN 1728-5305
Online Edition
ISBN 978-3-7001-8151-4
Print Edition
ISBN 978-3-7001-8247-4
Online Edition



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Austrian Academy of Sciences Press
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Time-to-death patterns in markers of age and dependency

    Tim Riffe, Pil H. Chung, Jeroen Spijker, John MacInnes

Vienna Yearbook of Population Research 2016, pp. 229-254, 2017/10/12

Special issue on “Population ageing”

doi: 10.1553/populationyearbook2016s229

doi: 10.1553/populationyearbook2016s229


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doi:10.1553/populationyearbook2016s229



doi:10.1553/populationyearbook2016s229

Abstract

We aim to determine the extent to which variables commonly used to describe health, well-being, and disability in old age vary primarily as a function of years lived (chronological age), years left (thanatological age), or as a function of both. We analyze data from the U.S. Health and Retirement Study to estimate chronological age and time-to-death patterns in 78 such variables.We describe results for the birth cohort 1915–1919 in the final 12 years of life. Our results show that most of the markers used to study well-being in old age vary along both the age and the timeto- death dimensions, but that some markers are exclusively a function of either time to death or chronological age, while other markers display different patterns in men and women.

Published Online: 2017/10/12 11:25:55

Object Identifier: 0xc1aa5572 0x0036e636

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