Income Reliably Predicts Daily Sadness, but Not Happiness
A Replication and Extension of Kushlev, Dunn, and Lucas (2015)
Bibliographic Data
| ID | 21209989 |
|---|---|
| Authors | Nathan W Hudson (0000-0001-6869-2910, Michigan State University, corresponding author), Richard E Lucas (0000-0002-7995-3319, Michigan State University), M Brent Donnellan (Texas A&M University), Kostadin Kushlev (0000-0003-1025-3258, University of Virginia) |
| Year | 2016 |
| Volume | 7 |
| Issue | 8 |
| Pages | 828-836 |
| Publication date | 2016-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Psychological and Personality Science (JOURNAL) |
| Journal identifiers | ISSN: 1948-5506 • E-ISSN: 1948-5514 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/1948550616657599 |
| PMID | 29250303 |
| OpenAlex | W2461153924 |
| Language | EN |
| Citations received | 16 |
| References cited | 29 |
Kushlev, Dunn, and Lucas (2015) found that income predicts less daily sadness—but not greater happiness—among Americans. The present study used longitudinal data from an approximately representative German sample to replicate and extend these findings. Our results largely replicated Kushlev et al.’s results: Income predicted less daily sadness (albeit with a smaller effect size) but was unrelated to happiness. Moreover, the association between income and sadness could not be explained by demographics, stress, or daily time use. Extending Kushlev et al.’s findings, new analyses indicated that only between-persons variance in income (but not within-persons variance) predicted daily sadness—perhaps because there was relatively little within-persons variance in income. Finally, income predicted less daily sadness and worry, but not less anger or frustration—potentially suggesting that income predicts less “internalizing” but not less “externalizing” negative emotions. Together, our study and Kushlev et al.’s study provide evidence that income robustly predicts select daily negative emotions—but not positive ones
Anger · Anxiety · Developmental psychology · Economics · German · Happiness · Psychiatry · Sadness · Worry · Clinical Psychology · Health disparities and outcomes · Mental Health Research Topics · Psychological Well-being and Life Satisfaction · Psychology · Social Psychology
Wealth, justice and freedom
Distributional Regression Techniques in Socioeconomic Research on the Inequality of Health with an Application on the Relationship between Mental Health and Income
Experiential Wellbeing Data from the American Time Use Survey
The Measure Matters
How individuals perceive their partner's relationship behaviors when worrying about finances
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Earning Too Little And Worrying Too Much
Income Reliably Predicts Daily Sadness, but Not Happiness
Day-To-Day Affect is Surprisingly Stable
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The Sharp Spikes of Poverty
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The new stylized facts about income and subjective well-being.
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High income improves evaluation of life but not emotional well-being
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A Survey Method for Characterizing Daily Life Experience
Income Reliably Predicts Daily Sadness, but Not Happiness
Higher Income Is Associated With Less Daily Sadness but not More Daily Happiness
Traits, States, and Encoding Speed
Development and validation of brief measures of positive and negative affect
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Understanding the Gender–Pay Gap in the Federal Workforce Over the Past 20 Years
Income and well-being
Social class, sense of control, and social explanation
Wealth and happiness across the world
Episodic and semantic knowledge in emotional self-report
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Discriminant validity of well-being measures
The German Socio-Economic Panel Study (Soep) - Scope, Evolution and Enhancements
Anger is an approach-related affect
Comparing correlated correlation coefficients
Subjective well-being
Belief and feeling
Will Money Increase Subjective Well-Being
The Validity of the Day Reconstruction Method in the German Socio-economic Panel Study
The Influence of Environment and Personality on the Affective and Cognitive Component of Subjective Well-being
| Unique citing works | 16 |
|---|---|
| Citations per year | 1.6 |
| Citation span | 2016 - 2024 (9) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 10 |