Income and well-being: How big is the gap between the rich and the poor?

By Richard E. Lucas, U. Schimmack. 2009

147 citations recorded by the source corpus.

Subfields: Applied Psychology, Health, Social Psychology

View Paper: https://www.semanticscholar.org/paper/483c62464bff0a813e4a85078ba7aee77f541491

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In Applied Psychology

In Health

In Social Psychology

Citations in the corpus

Stability and variability in the relationship between subjective well-being and income (2011, background): “However, even small correlation coefficients can reflect significant mean-level differences between people (Diener, Horwitz, & Emmons, 1985; Lucas & Schimmack, 2009).”
Personality and the marginal utility of income: Personality interacts with increases in household income to determine life satisfaction (2011, background): “For example, it has been shown that there are large well-being differences between low and high income earners (Lucas and Schimmack, 2009) and that an exogenous increase to an individual’s income can raise their well-being (Frijters et al., 2004; Gardner and Oswald, 2007).”
Effect of Changes in Living Conditions on Well-Being: A Prospective Top–Down Bottom–Up Model (2011, background): “After all, the overall effect of money on wellbeing is small in terms of the strength of the statistical relation between income and lifesatisfaction (Lucas and Schimmack 2009).”
Debt and Subjective Well-being: The Other Side of the Income-Happiness Coin (2016, background): “This small estimated effect size appears to be substantially smaller than that of the relation between income and SWB which has been estimated to be around r = .20–.30 (Lucas and Schimmack 2009).”
The Engine of Well-Being (2012, background): “…and the extent to which one is living the best possible life are more strongly related to income and long-term changes in income (Graham, 2011; Lucas & Schimmack, 2009), whereas mood-based measures (the affective component) show a weak relationship with income in cross-sectional analysis, as…”
Advances and Open Questions in the Science of Subjective Well-Being (2018, unknown): “Notably, more than for perhaps any other predictor, research on the association between income and SWB has relied on large and representative samples, and thus, correlations, which tend to fall in the range of .15 to .25 (Lucas & Schimmack, 2009), have been estimated with a great deal of precision.”