G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w19950
来源IDWorking Paper 19950
The Sad Truth About Happiness Scales
Timothy N. Bond; Kevin Lang
发表日期2014-03-06
出版年2014
语种英语
摘要We show that, without strong auxiliary assumptions, it is impossible to rank groups by average happiness using survey data with a few potential responses. The categories represent intervals along some continuous distribution. The implied CDFs of these distributions will (almost) always cross when estimated using large samples. Therefore some monotonic transformation of the utility function will reverse the ranking. We provide several examples and a formal proof. Whether Moving-to-Opportunity increases happiness, men have become happier relative to women, and an Easterlin paradox exists depends on whether happiness is distributed normally or log-normally. We discuss restrictions that may permit such comparisons.
主题Microeconomics ; Welfare and Collective Choice ; Health, Education, and Welfare ; Poverty and Wellbeing ; History ; Labor and Health History
URLhttps://www.nber.org/papers/w19950
来源智库National Bureau of Economic Research (United States)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/577624
推荐引用方式
GB/T 7714
Timothy N. Bond,Kevin Lang. The Sad Truth About Happiness Scales. 2014.
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