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Erschienen in: Journal of Happiness Studies 4/2011

01.08.2011

Area-Level Income Inequality and Individual Happiness: Evidence from Japan

verfasst von: Takashi Oshio, Miki Kobayashi

Erschienen in: Journal of Happiness Studies | Ausgabe 4/2011

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Abstract

In this study, we investigated how area-level income inequality is associated with an individual’s assessment of happiness, based on micro-level data sourced from nationwide surveys in Japan. It was confirmed from our analysis using logit models that individuals who live in areas of high income inequality tend to report themselves as being less happy, even after controlling for various individual and area-level factors. The association between inequality and happiness is modestly significant, regardless of the choice of covariates at an individual level, and stronger at a lower level of perceived happiness. Moreover, sensitivity to inequality differs substantially according to certain individual attributes. Among others, an important implication for social policy is that those with unstable occupational status are more sensitive to inequality. Given that these people tend to be less happy than others, this result indicates the risk that area-level inequality further reduces the well-being of those with unfavorable employment conditions.

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Fußnoten
1
For example Blakely et al. (2002), indicate that controlling for average area-level income reduces the negative association between area-level income inequality and individual self-rated health.
 
2
It is questionable whether self-employment, which accounts for 9.4% of the entire sample, must be categorized as unstable. We considered self-employed persons to be unstable because their mean income (3,869,000 yen) was lower and the standard deviation thereof (2,844,000 yen) was higher than those of regular employees (4,192,000 and 2,066,000 yen, respectively). Even if we were to categorize self-employment as “stable,” the results would not be substantially different.
 
3
The 95% confidence interval was calculated as [0.844, 0.994].
 
4
We also estimated an ordered logit model using three-point scales of perceived happiness, as a dependent variable; we found that the coefficient on the Gini coefficient was −2.22 with a standard error of 1.39 (p-value = 0.160). However, the proportional odds assumption was violated at the 1% significance level, meaning that ordered logit regressions were not appropriate in this case. This was consistent with the fact that two logit models with different thresholds of happiness (Models 1 and 2) provided quite different estimates of the sensitivity to the Gini coefficient.
 
5
Comparisons of the estimated coefficients on the Gini coefficient make no sense if the Gini coefficient is distributed differently among categories. In order to verify this, we applied Kolmogorov–Smirnov tests for each category and the remaining one or two categories in each category group. We found that the null hypothesis—that the Gini coefficient is distributed differently between categories—cannot be rejected at the 5% significance level for two cases: between individuals who graduated from college or higher institutions and others, and between low-income individuals and others.
 
6
The coefficient on the cross term with “out of labor force” was also significantly negative; however, the coefficient on the Gini coefficient was positive and insignificant in the independent estimation.
 
7
The absolute value of the coefficient on the Gini coefficient was slightly larger for conservative individuals than for the neutral ones in independent estimations; however, the former was not significant.
 
8
For example, Perneger, Hudelson, and Bovier (2004) report that healthier individuals tend to feel happier, while Pettit and Kline (2001) indicate that happier self-assessments correlate with higher levels of self-rated health.
 
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Metadaten
Titel
Area-Level Income Inequality and Individual Happiness: Evidence from Japan
verfasst von
Takashi Oshio
Miki Kobayashi
Publikationsdatum
01.08.2011
Verlag
Springer Netherlands
Erschienen in
Journal of Happiness Studies / Ausgabe 4/2011
Print ISSN: 1389-4978
Elektronische ISSN: 1573-7780
DOI
https://doi.org/10.1007/s10902-010-9220-z

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