The life course and subjective well-being across generations – an analysis based on cross-national surveys (2002–2016)
Hideko Matsuo and
Koen Matthijs
Vienna Yearbook of Population Research, 2021, vol. 19, issue 1, 417-466
Abstract:
This paper identifies subjective well-being trajectories through happiness measures as influenced by time, socio-economic, demographic and behavioural determinants. Hierarchical age-period-cohort models are applied to European Social Survey (2002–2016) data on the population aged 30 and older in 10 countries. A U-shaped relationship between age and happiness is found for some countries, but a rather flat pattern and considerable diversity beyond age 80 are detected for other countries. Lower happiness levels are found for baby boomers (1945–1964) than for preboomers and post-boomers, and also for late boomers (1955–1964) than for early boomers (1945–1954). Women, highly educated and native people are shown to have higher happiness levels than men, less educated and non-native people, respectively. Moreover, a positive assessment of income, having a partner, and being a parent, in good health, employed and socially active are all found to have a positive impact on happiness levels. We find evidence of gaps in happiness levels due to differences in socio-economic characteristics over the life course in some, but not in all of the countries analysed.
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://austriaca.at/0xc1aa5576_0x003cab2e.pdf
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:vid:yearbk:v:19:y:2021:i:1:oid:0x003cab2e
Access Statistics for this article
Vienna Yearbook of Population Research is currently edited by Tomas Sobotka and Maria Winkler-Dworak
More articles in Vienna Yearbook of Population Research from Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna
Bibliographic data for series maintained by Bernhard Rengs ().