Evidence map›Paper›PMID 34721725›Full record

ArticleJournal of population ageing2021

How to Measure Retirement Age? A Comparison of Survey and Register Data.

Harpa S Eyjólfsdóttir, Isabel Baumann, Neda Agahi, Carin Lennartsson

Abstract read
In one paragraph

Article in Journal of population ageing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Historical and Cross-Country Differences in Life Satisfaction Across Retirement in Germany and Switzerland From 2000 to 2019.The journals of gerontology. Series B, Psychological sciences and social sciences · 2023
    Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Harpa S Eyjólfsdóttir *Aging Research Center, Karolinska Institutet and Stockholm University, Tomtebodavägen 18 A, 171 65 Solna, Sweden.
Isabel Baumann *Center for Health Sciences, Zurich University of Applied Sciences, Technikumstrasse 81, 8400 Winterthur, Switzerland.ORCID 0000-0002-8813-9722
Neda AgahiAging Research Center, Karolinska Institutet and Stockholm University, Tomtebodavägen 18 A, 171 65 Solna, Sweden.
Carin LennartssonAging Research Center, Karolinska Institutet and Stockholm University, Tomtebodavägen 18 A, 171 65 Solna, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 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.

Indexed as

MeasurementOld-age pensionsRegister dataRetirement ageRetirement transitionSurvey data

Identifiers

PMID34721725
PMCPMC8549985

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.