Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-18597
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: How to measure retirement age? : a comparison of survey and register data
Authors: Eyjólfsdóttir, Harpa Sif
Baumann, Isabel
Agahi, Neda
Lennartsson, Carin
et. al: No
DOI: 10.1007/s12062-019-09254-6
10.21256/zhaw-18597
Published in: Journal of Population Ageing
Volume(Issue): 14
Issue: 2
Page(s): 143
Pages to: 161
Issue Date: 2021
Publisher / Ed. Institution: Springer
ISSN: 1874-7884
1874-7876
Language: English
Subjects: Retirement transition; Retirement age; Pld-age pension; Measurement; Survey data; Register data
Subject (DDC): 305: Groups (age, origine, gender, income)
Abstract: Due to an increasing heterogeneity in retirement transitions, the measurement of retirement age constitutes a major challenge for researchers and policymakers. In order to better understand the concept of retirement age, we compare a series of measures for retirement age assessed on the basis of survey and register data. We use data from Sweden, where flexible retirement schemes are implemented and register data are available. We link survey data from the Swedish Level of Living Survey with register data from the Swedish Longitudinal Integration Database for Health Insurance and Labour Market Studies. We create four measures of retirement age based on these datasets, applying approaches that have been used in previous literature. We analyse the means and distributions of these measures and evaluate the correlations between them. Finally, we regress common predictors of retirement age such as gender or education on the four measures of retirement age to examine potential differences in size, direction and statistical significance of the associations. We find that the survey measure of retirement age resembles the following two ways of defining retirement age in the register data: first, the age at which people receive more than half their income from old-age or disability pension and second, the age at which they were not gainfully employed for at least two years. This insight gives us a better understanding of when in the retirement transition process individuals identify with retirement. Moreover, it provides decision support for researchers working with register data to determine which measure to use.
URI: https://digitalcollection.zhaw.ch/handle/11475/18597
Fulltext version: Published version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: School of Health Sciences
Organisational Unit: Institute of Public Health (IPH)
Published as part of the ZHAW project: Die gesundheitlichen Auswirkungen einer späteren Pensionierung
Appears in collections:Publikationen Gesundheit

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Eyjólfsdóttir, H. S., Baumann, I., Agahi, N., & Lennartsson, C. (2021). How to measure retirement age? : a comparison of survey and register data. Journal of Population Ageing, 14(2), 143–161. https://doi.org/10.1007/s12062-019-09254-6
Eyjólfsdóttir, H.S. et al. (2021) ‘How to measure retirement age? : a comparison of survey and register data’, Journal of Population Ageing, 14(2), pp. 143–161. Available at: https://doi.org/10.1007/s12062-019-09254-6.
H. S. Eyjólfsdóttir, I. Baumann, N. Agahi, and C. Lennartsson, “How to measure retirement age? : a comparison of survey and register data,” Journal of Population Ageing, vol. 14, no. 2, pp. 143–161, 2021, doi: 10.1007/s12062-019-09254-6.
EYJÓLFSDÓTTIR, Harpa Sif, Isabel BAUMANN, Neda AGAHI und Carin LENNARTSSON, 2021. How to measure retirement age? : a comparison of survey and register data. Journal of Population Ageing. 2021. Bd. 14, Nr. 2, S. 143–161. DOI 10.1007/s12062-019-09254-6
Eyjólfsdóttir, Harpa Sif, Isabel Baumann, Neda Agahi, and Carin Lennartsson. 2021. “How to Measure Retirement Age? : A Comparison of Survey and Register Data.” Journal of Population Ageing 14 (2): 143–61. https://doi.org/10.1007/s12062-019-09254-6.
Eyjólfsdóttir, Harpa Sif, et al. “How to Measure Retirement Age? : A Comparison of Survey and Register Data.” Journal of Population Ageing, vol. 14, no. 2, 2021, pp. 143–61, https://doi.org/10.1007/s12062-019-09254-6.


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