What do Happiness Data Mean? Theory and Survey Evidence
Daniel Benjamin,
Jakina Guzman,
Marc Fleurbaey,
Ori Heffetz and
Miles Kimball
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Daniel Benjamin: UCLA Anderson School of Management, David Geffen School of Medicine [Los Angeles] - UCLA - University of California [Los Angeles] - UC - University of California
Ori Heffetz: HUJ - The Hebrew University of Jerusalem, Department of Management and Organizations, Johnson Graduate School of Management, Cornell University - Cornell University [New York]
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Abstract:
What utility notion—e.g. flow/lifetime, self/family-centered—do self-reported well-being (SWB) questions measure? Existing applications make different assumptions regarding the (i) life domains, (ii) time horizons, and (iii) other-regarding preferences captured by SWB data. To obtain relevant evidence, we ask survey respondents what they had in mind regarding (i)–(iii) when answering commonly used—life satisfaction, happiness, ladder—and new SWB questions. We find that respondents' self-reports differ from researchers' assumptions and differ across SWB questions and sociodemographic groups. At the same time, simple SWB-question wording tweaks are effective in moving self-reports toward desired interpretations. We outline actionable suggestions for SWB researchers.
Date: 2023-04
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Published in Journal of the European Economic Association, 2023, 58 (2), pp.83-85. ⟨10.1093/jeea/jvad026⟩
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Related works:
Journal Article: What do Happiness Data Mean? Theory and Survey Evidence (2023) 
Working Paper: What do Happiness Data Mean? Theory and Survey Evidence (2023)
Working Paper: What Do Happiness Data Mean? Theory and Survey Evidence (2021) 
Working Paper: What Do Happiness Data Mean? Theory and Survey Evidence (2021) 
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-04331367
DOI: 10.1093/jeea/jvad026
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