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Please use this identifier to cite or link to this item:
https://nccur.lib.nccu.edu.tw/handle/140.119/121082
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| Title: | Country heterogeneity, happiness and income inequality |
| Authors: | 林信助
Lin, Shinn-Juh |
| Contributors: | 國貿系 |
| Date: | 2017-06 |
| Issue Date: | 2018-11-26 17:15:10 (UTC+8) |
| Abstract: | National happiness level is related to income, income inequality and other crucial socioeconomic variables, such as happiness inequality, health condition, and social connection. In addition, countries may differ in many other aspects such as culture and regulations. To obtain an in-depth analysis of relations between happiness level and socioeconomic variables, data of the 1990s and the 2000s drawn from the World Database of
Happiness are examined with two estimation approaches - pooled OLS and panel data analysis. The empirical results demonstrate that the role and the statistical significance of income inequality in explaining happiness clearly depends on unobservable country heterogeneity. Based on the pooled OLS, happiness and income inequality are positively related. However, after dividing all the countries into two groups, the relation between happiness and income inequality becomes insignificant for highly-developed countries, while that relation remains significantly positive for underdeveloped countries. Most interestingly, happiness turns out to be inversely related to income inequality with the panel data approach. These results favor the hypothesis that income inequality, instead of encouraging possibility of social mobility, entails more social comparison and hence reduces happiness level. |
| Relation: | The 1st International Conference on Econometrics and Statistics (HKUST), Hong Kong University of Science and Technology (HKUST) Business School
EcoSta 2017, Parallel Session O, Saturday 17.06.2017 16:10 - 17:50, EO188 Room LSK1001 APPLICATIONS AND EMPIRICAL RESEARCH IN ECONOMICS AND FINANCE, EO0473 |
| Data Type: | conference |
| Appears in Collections: | [國際經營與貿易學系 ] 會議論文
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Files in This Item:
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Size | Format | |
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| BoA_EcoSta2017.pdf | | 2841Kb | Adobe PDF2 | 209 | View/Open |
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