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


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

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

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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/populationyearbook2016s007


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doi:10.1553/populationyearbook2016s007


Thema: journals
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


Warren Sanderson, Sergei Scherbov
PDF Icon  A unifying framework for the study of population aging ()
S.  007 - 40
doi:10.1553/populationyearbook2016s007

Verlag der Österreichischen Akademie der Wissenschaften


doi:10.1553/populationyearbook2016s007
Abstract:
Aging is a complex, multifaceted phenomenon. In this paper, we provide an integrative approach that allows for the study of numerous dimensions of aging within a unified framework. The framework is based on the translation of quantitative measures of people’s characteristics into a new form of age measure, called “alpha-age.” Two individuals who have the same alpha-age have the same level of the characteristic under consideration. Alpha-ages are easy to understand and analyze because they are measured in years, just like chronological age. Indeed, chronological age is just an alpha-age for which the characteristic is the number of years the person has lived. An advantage of using the alpha-age measure is that it allows for the translation of different characteristics into years of age. Expressing multiple characteristics that are otherwise difficult to compare using a common metric makes it possible to conduct comparative analyses that previously were not feasible. We demonstrate the integrative power of alpha-ages through a set of examples in which we present alpha-ages based on remaining life expectancy, fiveyear survival rates (a rough objective indicator of health), self-reported health, and hand grip strength. We also show how alpha-ages can be used to compute old-age thresholds that vary over time and place, and how alpha-ages can be used to compute intergenerationally equitable normal pension ages. By allowing for the consistent quantitative measurement of multiple aspects of aging, the integrative approach presented here provides us with new insights into the process of population aging.

Published Online:  2017/10/12 11:10:07
Object Identifier:  0xc1aa5576 0x0036e626

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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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