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. 2022 Jul;31(7):1999-2009.
doi: 10.1007/s11136-022-03137-8. Epub 2022 Apr 28.

The effects of U.S. county and state income inequality on self-reported happiness and health are equivalent to zero

Nicolas Sommet  1 , Andrew J Elliot  2
Affiliations

The effects of U.S. county and state income inequality on self-reported happiness and health are equivalent to zero

Nicolas Sommet et al. Qual Life Res. 2022 Jul.

Abstract

Purpose: A popular idea in the social sciences is that contexts with high income inequality undermine people's well-being and health. However, existing studies documenting this phenomenon typically compare a small number of higher-level units (countries/regions). Here, we use local income inequality indicators and temporal designs to provide the most highly powered test to date of the associations between income inequality and self-reported happiness and health in the USA METHOD: We combined county-level income inequality data (county-level Gini coefficients) with the responses from the General Social Survey (GSS) Cross-sectional dataset (13,000 + participants from ≈1000 county-waves) and Panels (3 × 3000 + participants from 3 × ≈500 county-waves); we used the GSS happiness ("not too happy," "pretty happy," or "very happy") and health ("poor," "fair," "good," or "excellent") variables.

Results: Multilevel-ordered logistic models and equivalence tests revealed that the within-county effects of income inequality on self-reported happiness and health were systematically equivalent to zero. Additional analyses revealed that the within-state effects were identical, that using alternative measures of state income inequality led to the same conclusions, and that lagged effects (between + 1 and + 12 years) were never significant and always equivalent to zero.

Conclusion: The present work suggests that-at least in the USA-income inequality is likely neither associated with self-reported happiness nor with self-reported health.

Keywords: Equivalence testing; Health; Income inequality; Multilevel modeling; Well-being.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Equivalence Tests. Pooled within-county effects of income inequality on self-reported happiness (upper panel) and health (lower panel) in Panels 1–3. Notes: Error bars are 90% CIs; the fact that the 90% CIs fall within the lower and upper equivalence bounds means that the effects of income inequality are equivalent to zero
Fig. 2
Fig. 2
Equivalence Tests. Pooled within-state effects of income inequality on self-reported happiness (upper panel) and health (lower panel) in Panels 1–3. Notes: Error bars are 90% CIs; the fact that the 90% CIs fall within the lower and upper equivalence bounds means that the effects of income inequality are equivalent to zero
See this image and copyright information in PMC

References

    1. World Bank. (2021). GDP per capita (current US$). Retrieved April 26, 2022, from https://data.worldbank.org/indicator/NY.GDP.PCAP.CD.
    1. Saez, E. (2020). Striking it richer: The Evolution of Top Incomes in the United States (Updated with 2018 estimates). Retrieved April 26, 2022, from https://elsa.berkeley.edu/~saez/saez-UStopincomes-2018.pdf
    1. Wilkinson R, Pickett K. The spirit level: Why equality is better for everyone. Penguin; 2010.
    1. Wilkinson, R., & Pickett, K. (2018/2020). The inner level: How more equal societies reduce stress, restore sanity and improve everyone's well-being. Penguin Books. - PMC - PubMed
    1. Payne BK, Brown-Iannuzzi JL, Hannay JW. Economic inequality increases risk taking. Proceedings of the National Academy of Science USA. 2017;114(18):4643–4648. doi: 10.1073/pnas.1616453114. - DOI - PMC - PubMed

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