Abstract
Poor health after retirement may have an important economic and societal impact and may be affected by macro-level factors. Our aim was to examine whether macro-level factors are associated with health and educational differences in health in recent retirees. We used data covering 18 European countries from the Survey on Health, Ageing and Retirement in Europe (SHARE) and the English Longitudinal Study of Ageing (ELSA) on 8867 respondents who had been retired less than 5 years. We performed multi-level linear regression analyses to examine whether social expenditure in nine policy areas, minimum pension replacement rates, and unemployment replacement rates explained cross-country differences in post-retirement self-rated health (SRH) and educational inequalities in SRH. In both men and women, a higher total expenditure as well as higher expenditures on health, old age, housing, and 'other social policy areas' (non-categorical cash benefits to low-income households and other social services) were associated with better SRH. Cross-level interactions showed that in the presence of a higher old age expenditure, a higher unemployment expenditure, and a higher total expenditure, the absolute educational inequalities in post-retirement SRH were smaller than with lower expenditures in these areas, in both men and women. We found the same effect in women only for a higher expenditure on health as well as a higher minimum pension replacement rate. A higher expenditure on survivors pensions, a lower expenditure on family, and a higher unemployment replacement rate had this effect in men only. This study showed that social expenditure and replacement rates were associated with post-retirement health and health inequalities.
Original language | English |
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Article number | 112669 |
Journal | Social Science and Medicine |
Volume | 245 |
Issue number | January |
DOIs | |
Publication status | Published - Jan 2020 |
Bibliographical note
Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.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 Wave 6 (DOI: 10.6103/SHARE.w6.700), see Börsch-Supan et al. (2013) 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 N° 211909 , SHARE-LEAP: GA N° 227822 , SHARE M4: GA N° 261982 ) and Horizon 2020 (SHARE-DEV3: GA N° 676536 , SERISS: GA N° 654221 ) and by DG Employment, Social Affairs & 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.
Funders | Funder number |
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National Institute on Aging | Y1-AG-4553-01, OGHA_04-064, P30_AG12815, HHSN271201300071C, P01AG005842, R21_AG025169, IAG_BSR06-11, U01_AG09740-13S2, P01_AG08291 |
Seventh Framework Programme | 261982, 211909, 227822 |
Sixth Framework Programme | CIT4-CT-2006-028812, RII-CT-2006-062193, CIT5-CT-2005-028857 |
Fifth Framework Programme | QLK6-CT-2001-00360 |
European Commission | |
ZonMw | 208060002 |
Bundesministerium für Bildung und Forschung | |
Max-Planck-Gesellschaft | |
Horizon 2020 | 654221, 676536 |