Educational differences in macro-level determinants of early exit from paid work: a multilevel analysis of 14 European countries

Sascha de Breij*, Martijn Huisman, Dorly J.H. Deeg

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

The aim of this study was to identify macro-level determinants of early work exit and investigate whether the effects of these determinants differ across educational groups. We used data from the Survey on Health, Ageing and Retirement in Europe (SHARE) (2011–2013) and the English Longitudinal Study of Ageing (ELSA) (2010/2011–2012/2013) as well as macro-level data and included 10,584 participants in 14 European countries. We used logistic multilevel analyses to examine educational differences in macro-level determinants of early work exit. Macro-level determinants were: minimum unemployment replacement rates, expenditure on active labour market policies (aimed to help the unemployed find work) and passive labour market policies (unemployment and early retirement benefits), employment protection legislation (costs involved in dismissing individuals), unemployment rates, statutory pension age and implicit tax on continued work. We found low-educated workers to be more at risk of early work exit than higher educated workers. In low-educated men, higher unemployment replacement rates, higher expenditure on passive labour market policies, stricter employment protection legislation and a higher implicit tax on continued work were associated with a higher risk of early work exit, whereas no macro-level factors were associated with early work exit in highly educated men. In women, a higher expenditure on passive labour market policies and a higher implicit tax on continued work were determinants of early work exit, regardless of educational level. To conclude, low-educated men seem to be especially responsive to the effects of pull factors that make early retirement financially more attractive.

Original languageEnglish
Pages (from-to)217-227
Number of pages11
JournalEuropean Journal of Ageing
Volume17
Issue number2
Early online date16 Oct 2019
DOIs
Publication statusPublished - Jun 2020

Bibliographical note

© The Author(s) 2019.

Funding

This research was conducted within the project ‘EXTEND—Social inequalities in extending working lives of an ageing workforce’ which is funded by The Netherlands Organisation for Health Research and Development (ZonMW, Grant Number: 208060002) in the framework of the Joint Programming Initiative (JPI) ‘More Years, Better Lives—The Potential and Challenges of Demographic Change’. This paper uses data from SHARE Waves 5 and 6 (DOIs: 10.6103/share.w5.700, 10.6103/share.w6.700,), see Börsch-Supan et al. () for methodological details. The SHARE data collection has been funded by the European Commission through FP5 (QLK6-CT-2001-00360), FP6 (SHARE-I3: RII-CT-2006-062193, COMPARE: CIT5-CT-2005-028857, SHARELIFE: CIT4-CT-2006-028812), FP7 (SHARE-PREP: GA No. 211909, SHARE-LEAP: GA No. 227822, SHARE M4: GA No. 261982) and Horizon 2020 (SHARE-DEV3: GA No. 676536, SERISS: GA No. 654221) and by DG Employment, Social Affairs and Inclusion. Additional funding from the German Ministry of Education and Research, the Max Planck Society for the Advancement of Science, the U.S. National Institute on Aging (U01_AG09740-13S2, P01_AG005842, P01_AG08291, P30_AG12815, R21_AG025169, Y1-AG-4553-01, IAG_BSR06-11, OGHA_04-064, HHSN271201300071C) and from various national funding sources is gratefully acknowledged(see www.share-project.org ). The funders had no role in the design, execution, analysis or interpretation of the data, or writing of the manuscript.

FundersFunder number
National Institute on AgingP01_AG005842, Y1-AG-4553-01, OGHA_04-064, P30_AG12815, HHSN271201300071C, R21_AG025169, IAG_BSR06-11, U01_AG09740-13S2, P01_AG08291
Seventh Framework Programme261982, 211909, 227822
Sixth Framework ProgrammeCIT4-CT-2006-028812, RII-CT-2006-062193, CIT5-CT-2005-028857
Fifth Framework ProgrammeQLK6-CT-2001-00360
European Commission
ZonMw208060002
Bundesministerium für Bildung und Forschung
Max-Planck-Gesellschaft
Horizon 2020654221, 676536

    Keywords

    • Early work exit
    • Educational differences
    • European comparison
    • Institutional determinants
    • SHARE

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