Sechel, C. orcid.org/0000-0002-8653-3443 (2019) Happier than them, but more of them are happy: Aggregating subjective well-being. Working Paper. Sheffield Economic Research Paper Series, 2019008 (2019008). Department of Economics , University of Sheffield. ISSN 1749-8368
Abstract
This paper proposes the use of headcount-based indicators for the measurement of national Subjective Well-Being (SWB). It provides a methodological contribution to the challenge of threshold selection for headcount measures using Cognitive Dissonance Theory operationalised using life satisfaction data from World/Eurpean Values Surveys. A Beta- regression approach is employed to explore the empirical relationships between national SWB and objective measures of well-being contributing to the empirical literature on social indicators. The use of this model is novel in this context. The findings reveal relationships between objective measures of development and SWB that are not apparent when average national SWB is used. For example, I find no significant link between national income and the share of satisfied individuals.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 The Author(s). For reuse permissions, please contact the Author(s). |
Keywords: | Subjective Well-Being; Cognitive Dissonance Theory; Beta-regression |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Economics (Sheffield) > Sheffield Economics Research Papers Series The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Economics (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 26 Apr 2019 10:15 |
Last Modified: | 26 Apr 2019 23:57 |
Published Version: | https://www.sheffield.ac.uk/economics/research/ser... |
Status: | Published |
Publisher: | Department of Economics |
Series Name: | Sheffield Economic Research Paper Series |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:145081 |