Clark, Andrew E. (2017) Happiness, income and poverty. International Review of Economics, 64 (2). pp. 145-158. ISSN 1865-1704. (doi:10.1007/s12232-017-0274-7) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:69175)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
| Official URL: http://dx.doi.org/10.1007/s12232-017-0274-7 |
|
Abstract
There is considerable evidence from a variety of sources to suggest that well-being is a function of relative income. These findings have been used to explain the Easterlin Paradox, whereby a rise in income for all does not lead to a rise in average happiness in a country (even though the cross section relationship between income and happiness is positive). This relativity of utility has led to calls for policy to focus away from GDP. I here first discuss some of the evidence that well-being is indeed relative in income, but then consider two relatively little-analysed issues to suggest that there may continue to be a role for GDP per capita in happiness-based policy: the inequality of subjective well-being, and the specific case of those in income poverty.
| Item Type: | Article |
|---|---|
| DOI/Identification number: | 10.1007/s12232-017-0274-7 |
| Uncontrolled keywords: | Happiness; Income; Inequality; Poverty |
| Subjects: | H Social Sciences |
| Institutional Unit: | Schools > Kent Business School |
| Former Institutional Unit: |
Divisions > Kent Business School - Division > Department of Leadership and Management
|
| Depositing User: | Andrew Clark |
| Date Deposited: | 21 Sep 2018 10:23 UTC |
| Last Modified: | 20 May 2025 12:15 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/69175 (The current URI for this page, for reference purposes) |
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):

https://orcid.org/0000-0001-7004-7654
Altmetric
Altmetric