Time-to-death patterns in markers of age and dependency

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

doi:doi:10.1553/populationyearbook2016s229

Vienna Institute of Demography (Ed.)

Vienna Yearbook of Population Research 2016

Special issue on “Population ageing”

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

doi:10.1553/populationyearbook2016
Vienna Yearbook of Population Research 2016
2017, 277 Seiten, 24x17cm, broschiert
Open access

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Time-to-death patterns in markers of age and dependency
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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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doi:10.1553/populationyearbook2016s229

Online Edition

Table of Contents

Vienna Institute of Demography (Ed.)

Vienna Yearbook of Population Research 2016

Special issue on “Population ageing”

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

doi:10.1553/populationyearbook2016
Vienna Yearbook of Population Research 2016
2017, 277 Seiten, 24x17cm, broschiert
Open access

Tim Riffe,

Pil H. Chung,

Jeroen Spijker,

John MacInnes

Time-to-death patterns in markers of age and dependency ()

S. 229 - 254
doi:10.1553/populationyearbook2016s229

Verlag der Österreichischen Akademie der Wissenschaften

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.

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Verlag der Österreichischen Akademie der Wissenschaften
Austrian Academy of Sciences Press

A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400
https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at