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

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dc.contributor.author Greyling, Talita
dc.date.accessioned 2015-03-30T07:43:33Z
dc.date.available 2015-03-30T07:43:33Z
dc.date.issued 2015-03-30
dc.identifier.isbn 978-0-620-59015-0
dc.identifier.uri http://hdl.handle.net/10539/17365
dc.description November 2013 en_ZA
dc.description.abstract GCRO'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.sponsorship Commissioned by the Gauteng City-Region Observatory - written by Talita Greyling, Department of Economics and Econometrics, University of Johannesburg en_ZA
dc.language.iso en en_ZA
dc.relation.ispartofseries ;07
dc.subject composite index of quality of life, Gauteng city-region en_ZA
dc.title A composite index of quality of life for the Gauteng city-region: a principal component analysis approach en_ZA
dc.type Other en_ZA


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