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Social Indicators Research

, Volume 140, Issue 3, pp 1195–1209 | Cite as

What is Happening with Quality of Life Among the Oldest People in Southern European Countries? An Empirical Approach Based on the SHARE Data

  • David Cantarero-Prieto
  • Marta Pascual-Sáez
  • Carla Blázquez-Fernández
Article

Abstract

Population aging in developed countries has created new challenges to improve the well-being of individuals at different age cohorts. This issue is especially significant for Southern European countries, were aging societies have worse health and less socio-economic resources. The aim of this study is to contribute to this body of literature and to estimate the effect of aging on quality of life of oldest people. This paper uses the latest available data (6th wave) from the Survey on Health, Ageing and Retirement in Europe (SHARE). Specifically, robust ordinary least squares and multilevel regressions are employed to analyse the effects of socioeconomic, health, and community factors on quality of life among the oldest population for Southern European countries. Our findings confirm the significance of several factors on life satisfaction among the oldest population in this group of countries. Moreover, we show that the determinants which are correlated with quality of life include predisposing, health, geographic area and social isolation factors.

Keywords

Quality of life Oldest people Southern European countries SHARE Multilevel regressions 

Notes

Acknowledgements

This paper uses data from SHARE Wave 6 (http://www.share-project.org/data-documentation/waves-overview/wave-6.html), see Börsch-Supan et al. (2017) for methodological details. The SHARE data collection has been primarily 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) and FP7 (SHARE-PREP: N°211909, SHARE-LEAP: N°227822, SHARE M4: N°261982). 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).

This paper uses data from the generated easySHARE data set ( https://doi.org/10.6103/share.easy.600), see Gruber et al. (2014) for methodological details. The easySHARE release 6.0.0 is based on SHARE Waves 1, 2, 3 (SHARELIFE), 4, 5 and 6 (DOIs:  https://doi.org/10.6103/share.w1.600,  https://doi.org/10.6103/share.w2.600,  https://doi.org/10.6103/share.w3.600,  https://doi.org/10.6103/share.w4.600,  https://doi.org/10.6103/share.w5.600,  https://doi.org/10.6103/share.w6.600).

Authors’ Contribution

All authors contributed to the writing of the manuscript and read and approved the final manuscript.

Compliance with Ethical Standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2017

Authors and Affiliations

  1. 1.Department of EconomicsUniversity of CantabriaSantanderSpain

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