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来源类型Article
规范类型其他
DOI10.1016/j.jebo.2011.02.005
ISBN01672681
From Average Joe's happiness to Miserable Jane and Cheerful John: using quantile regressions to analyze the full subjective well-being distribution.
Binder, Martin; Coad, Alex
发表日期2011-08
出处Journal of Economic Behavior & Organization
出版者Elsevier
出版年2011
页码275-290
语种英语
摘要Standard regression techniques are only able to give an incomplete picture of the relationship between subjective well-being and its determinants since the very idea of conventional estimators such as OLS is the averaging out over the whole distribution: studies based on such regression techniques thus are implicitly only interested in Average Joe's happiness. Using cross-sectional data from the British Household Panel Survey (BHPS) for the year 2006, we apply quantile regressions to analyze effects of a set of explanatory variables on different quantiles of the happiness distribution and compare these results with a standard regression. Among our results we observe a decreasing importance of income, health status and social factors with increasing quantiles of happiness. Another finding is that education has a positive association with happiness at the lower quantiles but a negative association at the upper quantiles. We explore the robustness of our findings in various ways.
特色分类H Social Sciences
关键词Quantile regressions Subjective well-being Happiness Life satisfaction Mental well-being BHPS
URLhttp://sro.sussex.ac.uk/id/eprint/40795/
来源智库Science Policy Research Unit (United Kingdom)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/467886
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Binder, Martin,Coad, Alex. From Average Joe's happiness to Miserable Jane and Cheerful John: using quantile regressions to analyze the full subjective well-being distribution.. 2011.
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