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What predicts a successful life? A life-course model of well-being

Richard Layard, Andrew Clark, Francesca Cornaglia, Nattavudh Powdthavee and James Vernoit
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Richard Layard: LSE - London School of Economics and Political Science
Francesca Cornaglia: LSE - London School of Economics and Political Science
James Vernoit: LSE - London School of Economics and Political Science

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Abstract: If policy-makers care about well-being, they need a recursive model of how adult life satisfaction is predicted by childhood influences, acting both directly and (indirectly) through adult circumstances. We estimate such a model using the British Cohort Study (1970).The most powerful childhood predictor of adult life-satisfaction is the child's emotional health. Next comes the child's conduct. The least powerful predictor is the child's intellectual development. This has obvious implications for educational policy. Among adult circumstances, family income accounts for only 0.5% of the variance of life-satisfaction. Mental and physical health are much more important.

Keywords: Well-being; Life-satisfaction; Intervention; Model; Life-course; Emotional health; Conduct; Intellectual performance; Success (search for similar items in EconPapers)
Date: 2013-10-01
Note: View the original document on HAL open archive server: https://sciencespo.hal.science/hal-03460744
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Related works:
Journal Article: What Predicts a Successful Life? A Life‐course Model of Well‐being (2014) Downloads
Working Paper: What predicts a successful life? A life-course model of well-being (2014) Downloads
Working Paper: What Predicts a Successful Life? A Life-course Model of Well-being (2014)
Working Paper: What Predicts a Successful Life? A Life-course Model of Well-being (2014)
Working Paper: What Predicts a Successful Life? A Life-Course Model of Well-Being (2013) Downloads
Working Paper: What predicts a successful life? A life-course model of well-being (2013) Downloads
Working Paper: What Predicts a Successful Life? A Life-Course Model of Well-Being (2013) Downloads
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