A composite index of quality of life for the Gauteng city-region: a principal component analysis approach

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dc.contributor.authorGreyling, Talita
dc.date.accessioned2015-03-30T07:43:33Z
dc.date.available2015-03-30T07:43:33Z
dc.date.issued2015-03-30
dc.descriptionNovember 2013en_ZA
dc.description.abstractGCRO's 'Quality of Life' survey and outputs are increasingly part of the research landscape, with both policy and academic uptake. However, to ensure that the results are as accurate as possible, we commission external reviews using alternative analytic methods, to see if they generate similar or very different findings, in addition to the in-house quality control measures in place. In this way, all spheres of government - and GCRO ourselves - can be reassured that rigorous peer review and critique is an integral part of our work. In this paper, UJ economist Talita Dalton-Greyling uses PCA (Principal Component Analysis) to re-run the 2011 Quality of life data and see if her outcomes are similar to ours - which they were. The paper also provides an interesting overview of the global move away from GDP and other economistic measurements of growth to more quality of life and/or well-being measures, and locates her and our work in a broader global context.en_ZA
dc.description.sponsorshipCommissioned by the Gauteng City-Region Observatory - written by Talita Greyling, Department of Economics and Econometrics, University of Johannesburgen_ZA
dc.identifier.isbn978-0-620-59015-0
dc.identifier.urihttp://hdl.handle.net/10539/17365
dc.language.isoenen_ZA
dc.relation.ispartofseries;07
dc.subjectcomposite index of quality of life, Gauteng city-regionen_ZA
dc.titleA composite index of quality of life for the Gauteng city-region: a principal component analysis approachen_ZA
dc.typeOtheren_ZA
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