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Income Inequality and Happiness: An Inverted U-Shaped Curve

Overview of attention for article published in Frontiers in Psychology, November 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
policy
1 policy source
twitter
50 X users
video
1 YouTube creator

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
91 Mendeley
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Title
Income Inequality and Happiness: An Inverted U-Shaped Curve
Published in
Frontiers in Psychology, November 2017
DOI 10.3389/fpsyg.2017.02052
Pubmed ID
Authors

Zonghuo Yu, Fei Wang

Abstract

Numerous studies agree that income inequality, rather than absolute income, is an important predictor of happiness. However, its specific role has been controversial. We argue that income inequality and happiness should exhibit an inverted U-shaped relationship due to the dynamic competing process between two effects: when income inequality is relatively low, the signal effect will be the dominating factor, in which individuals feel happy because they consider income inequality as a signal of social mobility and expect upward mobility; however, if income inequality level increases beyond a critical point, the jealousy effect will become the dominating factor, in which individuals tend to be unhappy because they are disillusioned about the prospect of upward mobility and jealous of their wealthier peers. This hypothesis is tested in a longitudinal dataset on the United States and a cross-national dataset on several European countries. In both datasets, the Gini coefficient (a common index of a society's income inequality) and its quadratic term were significant predictors of personal happiness. Further examinations of the quadratic relationships showed that the signal effect was only presented in the European data, while the jealousy effect was presented in both datasets. These findings shed new light on our understanding of the relationship between income inequality and personal happiness.

X Demographics

X Demographics

The data shown below were collected from the profiles of 50 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 14%
Student > Ph. D. Student 11 12%
Student > Master 11 12%
Researcher 7 8%
Other 5 5%
Other 16 18%
Unknown 28 31%
Readers by discipline Count As %
Psychology 20 22%
Economics, Econometrics and Finance 11 12%
Business, Management and Accounting 11 12%
Social Sciences 10 11%
Engineering 2 2%
Other 7 8%
Unknown 30 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 77. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 March 2024.
All research outputs
#557,120
of 25,534,033 outputs
Outputs from Frontiers in Psychology
#1,154
of 34,608 outputs
Outputs of similar age
#12,489
of 447,214 outputs
Outputs of similar age from Frontiers in Psychology
#29
of 541 outputs
Altmetric has tracked 25,534,033 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 34,608 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 447,214 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 541 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.