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How to Measure Retirement Age? A Comparison of Survey and Register Data
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 sur...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8549985/ https://www.ncbi.nlm.nih.gov/pubmed/34721725 http://dx.doi.org/10.1007/s12062-019-09254-6 |
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author | Eyjólfsdóttir, Harpa S. Baumann, Isabel Agahi, Neda Lennartsson, Carin |
author_facet | Eyjólfsdóttir, Harpa S. Baumann, Isabel Agahi, Neda Lennartsson, Carin |
author_sort | Eyjólfsdóttir, Harpa S. |
collection | PubMed |
description | 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 2 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. |
format | Online Article Text |
id | pubmed-8549985 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-85499852021-10-29 How to Measure Retirement Age? A Comparison of Survey and Register Data Eyjólfsdóttir, Harpa S. Baumann, Isabel Agahi, Neda Lennartsson, Carin J Popul Ageing Article 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 2 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. Springer Netherlands 2019-10-24 2021 /pmc/articles/PMC8549985/ /pubmed/34721725 http://dx.doi.org/10.1007/s12062-019-09254-6 Text en © The Author(s) 2019 https://creativecommons.org/licenses/by/4.0/Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Eyjólfsdóttir, Harpa S. Baumann, Isabel Agahi, Neda Lennartsson, Carin How to Measure Retirement Age? A Comparison of Survey and Register Data |
title | How to Measure Retirement Age? A Comparison of Survey and Register Data |
title_full | How to Measure Retirement Age? A Comparison of Survey and Register Data |
title_fullStr | How to Measure Retirement Age? A Comparison of Survey and Register Data |
title_full_unstemmed | How to Measure Retirement Age? A Comparison of Survey and Register Data |
title_short | How to Measure Retirement Age? A Comparison of Survey and Register Data |
title_sort | how to measure retirement age? a comparison of survey and register data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8549985/ https://www.ncbi.nlm.nih.gov/pubmed/34721725 http://dx.doi.org/10.1007/s12062-019-09254-6 |
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