Please use this identifier to cite or link to this item:
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
Published in : Journal of Population Ageing
Issue Date: 2019
Publisher / Ed. Institution : Springer
ISSN: 1874-7884
Language : English
Subjects : Retirement transition; Retirement age; Pld-age pensions; Measurement; Survey data; Register data
Subject (DDC) : 305: Social groups
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.
Fulltext version : Published version
License (according to publishing contract) : CC BY 4.0: Attribution 4.0 International
Departement: Health Professions
Organisational Unit: Institute of Health Sciences (IGW)
Published as part of the ZHAW project : Die gesundheitlichen Auswirkungen einer späteren Pensionierung
Appears in Collections:Publikationen Gesundheit

Files in This Item:
File Description SizeFormat 
2019_Eyjolfsdottir_Baumann_et_al.pdf488.48 kBAdobe PDFThumbnail

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.