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Title: Mental Health and Happiness: Evidence From the U.S. Data
Resulting in 1 citation.
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Makki, Nazgol Mohanty, Madhu Sudan |
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Mental Health and Happiness: Evidence From the U.S. Data The American Economist 64,2 (October 2019): 197-215. Also: https://journals.sagepub.com/doi/full/10.1177/0569434518822266 Cohort(s): NLSY79 Publisher: Omicron Delta Phi Keyword(s): Depression (see also CESD); Happiness (see Positive Affect/Optimism); Health, Mental/Psychological; Job Satisfaction; Well-Being Permission to reprint the abstract has not been received from the publisher. The current study examines the role of poor mental health characterized by depression in the determination of an individual's happiness measured by self-satisfaction and job satisfaction. Using two samples from the National Longitudinal Survey of Youth, 1979 (NLSY79) and following an ordered probit approach, the study demonstrates that, other variables held constant, an individual suffering from mental depression is likely to have lower levels of self-satisfaction and job satisfaction than those with better mental health. The significance of this variable in both self-satisfaction and job satisfaction regressions indicates that metal health status is an important covariate of an individual's overall well-being, and should not, therefore, be omitted when estimating relevant happiness equations. |
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Bibliography Citation
Makki, Nazgol and Madhu Sudan Mohanty. "Mental Health and Happiness: Evidence From the U.S. Data." The American Economist 64,2 (October 2019): 197-215.
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