Self-assessed well-being: Analysis of the NIDS Wave 1 and 2 Datasets

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dc.creatorPosel, D.
dc.date2013-02-28T13:39:53Z
dc.date2013-02-28T13:39:53Z
dc.date2012
dc.date.accessioned2015-05-28T10:05:12Z
dc.date.available2015-05-28T10:05:12Z
dc.date.issued2015-05-28
dc.descriptionMost nationally representative household surveys in South Africa collect data on money-metric measures of well-being (income and expenditure), which are then used to generate statistics on poverty and inequality. However, these measures may be limited in several ways. First, they typically are not able to identify differences in economic well-being within the household when all resources in the household are not equally shared. Second, income received or spent captures only one aspect of economic status specifically and of well-being more generally, and a wide range of other factors will also affect an individual's quality of life
dc.descriptionNids Data
dc.identifierhttp://hdl.handle.net/11090/172
dc.identifier.ris TY - Report DA - 2015-05-28 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2015 T1 - Self-assessed well-being: Analysis of the NIDS Wave 1 and 2 Datasets TI - Self-assessed well-being: Analysis of the NIDS Wave 1 and 2 Datasets UR - http://hdl.handle.net/11090/172 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11090/172
dc.language.isoeng
dc.publisherSouthern Africa Labour and Development Research Unit
dc.publisher.departmentSALDRUen_ZA
dc.publisher.facultyFaculty of Commerceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.titleSelf-assessed well-being: Analysis of the NIDS Wave 1 and 2 Datasets
dc.typeReport
uct.type.publicationResearchen_ZA
uct.type.resourceSALDRU Reporten_ZA
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