The measurement of employment status in South Africa using cohort analysis, 1994-2004

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dc.contributor.authorBranson, Nicola
dc.contributor.authorWittenberg, Martin
dc.date.accessioned2018-09-12T10:02:26Z
dc.date.available2018-09-12T10:02:26Z
dc.date.issued2007
dc.date.updated2016-01-14T08:33:25Z
dc.description.abstractWe analyse trends in employment, unemployment and labour force participation by simple graphical techniques, using all the October Household Surveys and the September Labour Force Surveys. We show that African male employment in 1995 seems high, when compared to all the other surveys. Furthermore much of the increase in African female labour force participation is concentrated in the period 1998 to 2000, which suggests that measurement and sampling changes may be partially responsible for the trend. We track cohorts of individuals over the eleven years for which we have data. We show that young people are leaving school earlier, while being better educated than their elders. They are not, however, being absorbed into employment at a faster rate. This has led to a spike in youth unemployment.
dc.identifier.apacitationBranson, N., & Wittenberg, M. (2007). The measurement of employment status in South Africa using cohort analysis, 1994-2004. <i>South African Journal of Economics</i>, http://hdl.handle.net/11427/28469en_ZA
dc.identifier.chicagocitationBranson, Nicola, and Martin Wittenberg "The measurement of employment status in South Africa using cohort analysis, 1994-2004." <i>South African Journal of Economics</i> (2007) http://hdl.handle.net/11427/28469en_ZA
dc.identifier.citationBranson, N., & Wittenberg, M. (2007). The measurement of employment status in South Africa using cohort analysis, 1994‐20041. South African Journal of Economics, 75(2), 313-326.
dc.identifier.ris TY - AU - Branson, Nicola AU - Wittenberg, Martin AB - We analyse trends in employment, unemployment and labour force participation by simple graphical techniques, using all the October Household Surveys and the September Labour Force Surveys. We show that African male employment in 1995 seems high, when compared to all the other surveys. Furthermore much of the increase in African female labour force participation is concentrated in the period 1998 to 2000, which suggests that measurement and sampling changes may be partially responsible for the trend. We track cohorts of individuals over the eleven years for which we have data. We show that young people are leaving school earlier, while being better educated than their elders. They are not, however, being absorbed into employment at a faster rate. This has led to a spike in youth unemployment. DA - 2007 DB - OpenUCT DP - University of Cape Town J1 - South African Journal of Economics LK - https://open.uct.ac.za PB - University of Cape Town PY - 2007 T1 - The measurement of employment status in South Africa using cohort analysis, 1994-2004 TI - The measurement of employment status in South Africa using cohort analysis, 1994-2004 UR - http://hdl.handle.net/11427/28469 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/28469
dc.identifier.vancouvercitationBranson N, Wittenberg M. The measurement of employment status in South Africa using cohort analysis, 1994-2004. South African Journal of Economics. 2007; http://hdl.handle.net/11427/28469.en_ZA
dc.language.isoeng
dc.publisher.departmentSchool of Economicsen_ZA
dc.publisher.facultyFaculty of Commerceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.rights.holder© 2007 The Authors
dc.sourceSouth African Journal of Economics
dc.source.urihttp://onlinelibrary.wiley.com/doi/10.1111/j.1813-6982.2007.00113.x/full
dc.subject.otheremployment
dc.subject.otherunemployment
dc.subject.otherlabour force participation
dc.subject.otherSouth Africa
dc.subject.othercohort analysis
dc.subject.otherOctober Household Survey
dc.titleThe measurement of employment status in South Africa using cohort analysis, 1994-2004
dc.typeJournal Article
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uct.type.filetypeText
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