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Born to Be Mild? Cohort Effects Don’t (Fully) Explain Why Well-Being Is U-Shaped in Age

In: The Economics of Happiness

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  • Andrew E. Clark

    (Paris School of Economics – CNRS)

Abstract

The statistical analysis of cross-section data very often reveals a U-shaped relationship between subjective well-being and age. This paper uses 18 waves of British panel data to try to distinguish between two potential explanations of this shape: a pure life-cycle or aging effect, and a fixed cohort effect depending on year of birth. Panel analysis controlling for fixed effects continues to produce a U-shaped relationship between well-being and age, although this U-shape is flatter for life satisfaction than for the GHQ measure of mental well-being. The pattern of the estimated cohort effects also differs between the two well-being measures and, to an extent, by demographic group. In particular, those born earlier report more positive GHQ scores, controlling for their current age; this phenomenon is especially prevalent for women.

Suggested Citation

  • Andrew E. Clark, 2019. "Born to Be Mild? Cohort Effects Don’t (Fully) Explain Why Well-Being Is U-Shaped in Age," Springer Books, in: Mariano Rojas (ed.), The Economics of Happiness, chapter 0, pages 387-408, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-15835-4_17
    DOI: 10.1007/978-3-030-15835-4_17
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    More about this item

    Keywords

    Subjective well-being; Cohorts; Fixed effects; Panel data;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts

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