Early-life correlates of later-life well-being: Evidence from the Wisconsin Longitudinal Study

Andrew Clark and Tom Lee
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Tom Lee: Institute for Fiscal Studies

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Abstract: We use data from the Wisconsin Longitudinal Study (WLS) to consider the distal and proximal correlates of happiness and eudaimonia in later life. Even after controlling for proximal covariates, outcomes at age 18 (IQ score, parental income and parental education) remain good predictors of well-being over 50 years later. In terms of the proximal covariates, mental health and social participation are the strongest predictors of well-being. Although some factors are important in explaining both happiness and eudaimonia, there are notable differences between the two measures: well-being policy will thus depend to an extent on which measure is preferred.

Keywords: Life-course; well-being; eudaimonia; health; depression (search for similar items in EconPapers)
Date: 2017-07
New Economics Papers: this item is included in nep-hap
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01570052v1
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Citations: View citations in EconPapers (4)

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Related works:
Journal Article: Early-life correlates of later-life well-being: Evidence from the Wisconsin Longitudinal Study (2021)
Working Paper: Early-life correlates of later-life well-being: Evidence from the Wisconsin Longitudinal Study (2021)
Working Paper: Early-life correlates of later-life well-being: Evidence from the Wisconsin Longitudinal Study (2021)
Working Paper: Early-life correlates of later-life well-being: evidence from the Wisconsin longitudinal study (2017)
Working Paper: Early-life correlates of later-life well-being: Evidence from the Wisconsin Longitudinal Study (2017)
Working Paper: Early-life correlates of later-life well-being: evidence from the Wisconsin Longitudinal Study (2017)
Working Paper: Early-life correlates of later-life well-being: Evidence from the Wisconsin Longitudinal Study (2017)
Working Paper: Early-Life Correlates of Later-Life Well-Being: Evidence from the Wisconsin Longitudinal Study (2017)
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