SHARE – Survey of Health, Ageing and Retirement in Europe - Wave 3
SND-ID: ext0149-1.
Is part of collection at SND: SHARE - Survey of Health, Ageing and Retirement in Europe
Access to data via
Citation
Alternative title
The Retrospective Survey (SHARELIFE)
Creator/Principal investigator(s)
Axel Börsch-Supan - Max Planck Institute for Social Law and Social Policy, Munich Center for the Economics of Aging (MEA)
Max Planck Institute for Social Law and Social Policy, Munich Center for the Economics of Aging (MEA)
Research principal
SHARE ERIC - Munich Center for the Economics of Aging (MEA)
Description
SHARE - Survey of Health, Ageing and Retirement in Europe - is a multidisciplinary and cross-national panel database. It provides micro data on health, socio-economic status and social and family networks of thousands individuals aged 50 or over and their (younger) partners.
The Survey of Health, Ageing and Retirement in Europe seeks to analyse the process of population ageing in depth.
Copyright © Survey of Health, Ageing and Retirement in Europe (SHARE) 2012
When using data from this dataset, please cite the dataset as follows:
Börsch-Supan, A. (2022). Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 3 – SHARELIFE. Release version: 8.0.0. SHARE-ERIC. Data set. DOI: 10.6103/SHARE.w3.800
Please also cite the following publications in addition to the SHARE acknowledgement:
- Börsch-Supan, A., M. Brandt, K. Hank and M. Schröder (Eds). (2011). The individual and the welfare state. Life histories in Europe. Heidelberg: Springer.
The Survey of Health, Ageing and Retirement in Europe seeks to analyse the process of population ageing in depth.
Copyright © Survey of Health, Ageing and Retirement in Europe (SHARE) 2012
When using data from this dataset, please cite the dataset as follows:
Börsch-Supan, A. (2022). Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 3 – SHARELIFE. Release version: 8.0.0. SHARE-ERIC. Data set. DOI: 10.6103/SHARE.w3.800
Please also cite the following publications in addition to the SHARE acknowledgement:
- Börsch-Supan, A., M. Brandt, K. Hank and M. Schröder (Eds). (2011). The individual and the welfare state. Life histories in Europe. Heidelberg: Springer.
- Schröder, M. (2011). Retrospective data collection in the Survey of Health, Ageing and Retirement in Europe. SHARELIFE methodology. Mannheim: Mannheim Research Institute for the Economics of Aging (MEA).
- Börsch-Supan, A., Brandt, M., Hunkler, C., Kneip, T., Korbmacher, J., Malter, F., Schaan, B., Stuck, S., Zuber, S. (2013). Data Resource Profile: The Survey of Health, Ageing and Retirement in Europe (SHARE). International Journal of Epidemiology DOI: 10.1093/ije/dyt088. Show less..
Data contains personal data
Yes
Sensitive personal data
Yes
Type of personal data
Pseudonymised data
Code key exists
Yes
Language
Unit of analysis
Population
Individuals aged 50 years or over and their (younger) partners having their regular domicile in the respective SHARE country
Sampling procedure
Time period(s) investigated
2008 – 2011
Data format / data structure
Geographic spread
Geographic location: Sweden, Belgium, Denmark, France, Greece, Ireland, Italy, Netherlands, Poland, Switzerland, Spain, Czech Republic, Germany, Austria
Geographic description: 14 European countries
Lowest geographic unit
Country
Highest geographic unit
Country
Responsible department/unit
Munich Center for the Economics of Aging (MEA)
Research area
Health care service and management, health policy and services and health economy (Standard för svensk indelning av forskningsämnen 2011)
Public health, global health, social medicine and epidemiology (Standard för svensk indelning av forskningsämnen 2011)
Social sciences (Standard för svensk indelning av forskningsämnen 2011)
Social and economic geography (Standard för svensk indelning av forskningsämnen 2011)
Social sciences interdisciplinary (Standard för svensk indelning av forskningsämnen 2011)
Demography (population, vital statistics, and censuses) (CESSDA Topic Classification)
General health and well-being (CESSDA Topic Classification)