Economic mobility in South Africa: evidence from household survey data

dc.contributor.advisorLeibbrandt, Murrayen_ZA
dc.contributor.advisorRanchhod, Vimalen_ZA
dc.contributor.authorFinn, Ardenen_ZA
dc.date.accessioned2018-01-23T12:05:53Z
dc.date.available2018-01-23T12:05:53Z
dc.date.issued2017en_ZA
dc.description.abstractHigh levels of inequality, poverty and unemployment are some of the most substantial challenges facing post-apartheid South Africa. Most of the research addressing these questions has used micro datasets to compare snapshots of welfare over time. Although these studies are both interesting and useful, they have been unable to extend their analysis into a nationally-representative dynamic setting, due to the lack of available data. The paucity of large longitudinal datasets has also limited the number of studies of economic mobility, which allows researchers to track the welfare measures of the same individuals over time. This means that while we know a great deal about how South Africans are doing at a particular point in time, we know far less about how they are faring dynamically. Understanding how and why economic mobility happens in South Africa is therefore a question that demands attention. From both a distributive justice as well as a policy point of view, the distinction that arises when we drop the assumption of anonymity and move from a cross-sectional measure of welfare to a dynamic one is important. This is because many of the conclusions about longer-run welfare are dependent on the level of economic mobility present in society. This study contributes to the body of work on welfare in South Africa by addressing three different aspects of economic mobility. The first of these is about how a particular kind of measurement error in household surveys is best detected, and what effect its presence has on the understanding of labour market mobility. The second is about how best to model money-metric poverty dynamics in South Africa in order to better understand who escapes poverty and who enters poverty over time. The third is about how the persistence of intergenerational earnings should be calculated in a society with high unemployment, and what the role of education is in shaping these mobility dynamics.en_ZA
dc.identifier.apacitationFinn, A. (2017). <i>Economic mobility in South Africa: evidence from household survey data</i>. (Thesis). University of Cape Town ,Faculty of Commerce ,School of Economics. Retrieved from http://hdl.handle.net/11427/26903en_ZA
dc.identifier.chicagocitationFinn, Arden. <i>"Economic mobility in South Africa: evidence from household survey data."</i> Thesis., University of Cape Town ,Faculty of Commerce ,School of Economics, 2017. http://hdl.handle.net/11427/26903en_ZA
dc.identifier.citationFinn, A. 2017. Economic mobility in South Africa: evidence from household survey data. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Finn, Arden AB - High levels of inequality, poverty and unemployment are some of the most substantial challenges facing post-apartheid South Africa. Most of the research addressing these questions has used micro datasets to compare snapshots of welfare over time. Although these studies are both interesting and useful, they have been unable to extend their analysis into a nationally-representative dynamic setting, due to the lack of available data. The paucity of large longitudinal datasets has also limited the number of studies of economic mobility, which allows researchers to track the welfare measures of the same individuals over time. This means that while we know a great deal about how South Africans are doing at a particular point in time, we know far less about how they are faring dynamically. Understanding how and why economic mobility happens in South Africa is therefore a question that demands attention. From both a distributive justice as well as a policy point of view, the distinction that arises when we drop the assumption of anonymity and move from a cross-sectional measure of welfare to a dynamic one is important. This is because many of the conclusions about longer-run welfare are dependent on the level of economic mobility present in society. This study contributes to the body of work on welfare in South Africa by addressing three different aspects of economic mobility. The first of these is about how a particular kind of measurement error in household surveys is best detected, and what effect its presence has on the understanding of labour market mobility. The second is about how best to model money-metric poverty dynamics in South Africa in order to better understand who escapes poverty and who enters poverty over time. The third is about how the persistence of intergenerational earnings should be calculated in a society with high unemployment, and what the role of education is in shaping these mobility dynamics. DA - 2017 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2017 T1 - Economic mobility in South Africa: evidence from household survey data TI - Economic mobility in South Africa: evidence from household survey data UR - http://hdl.handle.net/11427/26903 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/26903
dc.identifier.vancouvercitationFinn A. Economic mobility in South Africa: evidence from household survey data. [Thesis]. University of Cape Town ,Faculty of Commerce ,School of Economics, 2017 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/26903en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentSchool of Economicsen_ZA
dc.publisher.facultyFaculty of Commerceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherEconomicsen_ZA
dc.titleEconomic mobility in South Africa: evidence from household survey dataen_ZA
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnamePhDen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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