Kobus, M, Półchłopek, O and Yalonetzky, G orcid.org/0000-0003-2438-0223 (2019) Inequality and welfare in quality of life among OECD countries: non-parametric treatment of ordinal data. Social Indicators Research, 143 (1). pp. 201-232. ISSN 0303-8300
Abstract
The last few years have witnessed an increasing emphasis on going beyond GDP per capita when measuring a nation’s quality of life. Countries (e.g. UK, France, Canada, Germany, Italy, Japan, Korea, Spain) and international organizations (e.g. OECD) have been developing methods suitable for non-income indicators. However, this involves serious measurement challenges due to: (a) multidimensionality, and (b) ordinality (i.e. unlike income these indicators do not have a natural scale). This paper is the first summary of the methods developed in the last decade in the field of inequality and welfare measurement to address these challenges. Next, we utilize the presented methodology and provide evidence on the ranking of OECD countries in terms of welfare and inequality in education and happiness. We find that when dimensions are analysed separately, welfare dominance is frequent (42% of all comparisons in education and 31% in life satisfaction). The number drops to only 4.4% for bivariate dominance, which highlights the empirical relevance of multidimensional analysis. Greece, Portugal and Hungary feature the lowest joint welfare. Northern European countries are most often dominating and Southern European countries are most often dominated in both inequality and welfare analyses.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer Nature B.V. 2018. This is a post-peer-review, pre-copyedit version of an article published in Social Indicators Research The final authenticated version is available online at: https://doi.org/10.1007/s11205-018-1962-8 |
Keywords: | Ordinal data; Quality of life; Inequality and welfare; Partial order; Majorization; Education-happiness gradient |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Economics Division (LUBS) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Jul 2018 13:07 |
Last Modified: | 11 Aug 2019 00:40 |
Status: | Published |
Publisher: | Springer Netherlands |
Identification Number: | 10.1007/s11205-018-1962-8 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:132820 |