Literature DB >> 36052188

Employment trends at older ages: policy impact or secular change?

Dorly J H Deeg1, Morten Blekesaune2, Astrid de Wind3.   

Abstract

Observed increases in retirement age are generally attributed to policies to extend working lives (PEW). In a quasi-experimental design, we examine to what extent increases in employment of older workers can be attributed to secular changes in individual characteristics as opposed to PEW. We compare two countries: one with clear PEW (the Netherlands) and one without PEW (Norway). Data come from the Dutch Longitudinal Aging Study Amsterdam and the NORwegian Longitudinal study on Aging and Generations. From each study, two same-age (55-64 years) samples are selected, one recruited in 2002-03, and one recruited after five (Norway) and ten years (Netherlands). In pooled regression analysis, paid work is the outcome variable, and time of measurement, the main independent variable. Individual characteristics include age, sex, educational level, self-perceived health, functional limitations, sense of mastery, and work status of partner. Employment rose in both countries, faster in the Netherlands than in Norway. Of the rise in employment, individual characteristics explained less in the Netherlands than in Norway. Accounting for these, the interaction country*time was significant, indicating an extra rise in employment of 5.2 and 7.5% points for Dutch men and women, net of individual characteristics and unobserved factors that are assumed to be similar in both countries. The extra rise in the Netherlands represents 57% of the total rise for both sexes. Thus, secular change in individual characteristics explains part of the rise in employment in both countries. In the Netherlands, other factors such as PEW may additionally explain the rise in employment. Supplementary Information: The online version contains supplementary material available at 10.1007/s10433-021-00664-0.
© The Author(s), under exclusive licence to Springer Nature B.V. 2021.

Entities:  

Keywords:  Netherlands; Norway; Older workers; Policies; Trends

Year:  2021        PMID: 36052188      PMCID: PMC9424366          DOI: 10.1007/s10433-021-00664-0

Source DB:  PubMed          Journal:  Eur J Ageing        ISSN: 1613-9372


  11 in total

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Authors:  Hermann Burr; Jakob B Bjorner; Tage S Kristensen; Finn Tüchsen; Elsa Bach
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2.  Seventeen-year time trend in poor self-rated health in older adults: changing contributions of chronic diseases and disability.

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Journal:  Eur J Public Health       Date:  2012-04-06       Impact factor: 3.367

3.  Cohort profile: the Longitudinal Aging Study Amsterdam.

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Journal:  Int J Epidemiol       Date:  2011-01-06       Impact factor: 7.196

4.  A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity.

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Journal:  Med Care       Date:  1996-03       Impact factor: 2.983

5.  Perceived constraints in late midlife: Cohort differences in the Longitudinal Aging Study Amsterdam (LASA).

Authors:  Johanna Drewelies; Dorly J H Deeg; Martijn Huisman; Denis Gerstorf
Journal:  Psychol Aging       Date:  2018-08

6.  The structure of coping.

Authors:  L I Pearlin; C Schooler
Journal:  J Health Soc Behav       Date:  1978-03

7.  Expectations and Realization of Joint Retirement among Dual-Worker Couples.

Authors:  Jeonghwa Ho; James M Raymo
Journal:  Res Aging       Date:  2009

8.  Predictors of having paid work in older workers with and without chronic disease: a 3-year prospective cohort study.

Authors:  Cécile R L Boot; Dorly J H Deeg; Tineke Abma; Kelly J Rijs; Suzan van der Pas; Theo G van Tilburg; Allard J van der Beek
Journal:  J Occup Rehabil       Date:  2014-09

9.  A systematic review of causes of recent increases in ages of labor market exit in OECD countries.

Authors:  Michaël Boissonneault; Jaap Oude Mulders; Konrad Turek; Yves Carriere
Journal:  PLoS One       Date:  2020-04-29       Impact factor: 3.240

10.  The Longitudinal Aging Study Amsterdam: cohort update 2016 and major findings.

Authors:  Emiel O Hoogendijk; Dorly J H Deeg; Jan Poppelaars; Marleen van der Horst; Marjolein I Broese van Groenou; Hannie C Comijs; H Roeline W Pasman; Natasja M van Schoor; Bianca Suanet; Fleur Thomése; Theo G van Tilburg; Marjolein Visser; Martijn Huisman
Journal:  Eur J Epidemiol       Date:  2016-08-20       Impact factor: 8.082

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