Using panel data to estimate the returns to schooling in South Africa

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dc.contributor.advisorDaniels, Rezaen_ZA
dc.contributor.authorMiles, Caitlin Roseen_ZA
dc.date.accessioned2015-12-04T18:06:26Z
dc.date.available2015-12-04T18:06:26Z
dc.date.issued2015en_ZA
dc.descriptionIncludes bibliographical referencesen_ZA
dc.description.abstractReturns to schooling have typically been estimated with cross-sectional data. However, these studies are fraught with difficulties arising from the endogeneity of education. Individual effects that cannot be measured, such as ability and family background, cause bias in the estimates because they are correlated with education. A panel data approach is thus potentially superior to a cross-sectional one, in that it allows the individual effects to be eliminated with time-differencing. However, time-invariant regressors, such as education, cannot be identified under these time-differencing techniques. This paper therefore uses a Generalized Instrumental Variables method that was developed by Hausman and Taylor (1981) to estimate returns to schooling under a panel data context. This approach both controls for endogeneity bias and allows the identification of time-constant regressors, in this case, education. The re- turns to schooling under this estimation method are approximately 21% for South African individuals who are consistently employed from 2008-2013.en_ZA
dc.identifier.apacitationMiles, C. R. (2015). <i>Using panel data to estimate the returns to schooling in South Africa</i>. (Thesis). University of Cape Town ,Faculty of Commerce ,School of Economics. Retrieved from http://hdl.handle.net/11427/15593en_ZA
dc.identifier.chicagocitationMiles, Caitlin Rose. <i>"Using panel data to estimate the returns to schooling in South Africa."</i> Thesis., University of Cape Town ,Faculty of Commerce ,School of Economics, 2015. http://hdl.handle.net/11427/15593en_ZA
dc.identifier.citationMiles, C. 2015. Using panel data to estimate the returns to schooling in South Africa. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Miles, Caitlin Rose AB - Returns to schooling have typically been estimated with cross-sectional data. However, these studies are fraught with difficulties arising from the endogeneity of education. Individual effects that cannot be measured, such as ability and family background, cause bias in the estimates because they are correlated with education. A panel data approach is thus potentially superior to a cross-sectional one, in that it allows the individual effects to be eliminated with time-differencing. However, time-invariant regressors, such as education, cannot be identified under these time-differencing techniques. This paper therefore uses a Generalized Instrumental Variables method that was developed by Hausman and Taylor (1981) to estimate returns to schooling under a panel data context. This approach both controls for endogeneity bias and allows the identification of time-constant regressors, in this case, education. The re- turns to schooling under this estimation method are approximately 21% for South African individuals who are consistently employed from 2008-2013. DA - 2015 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2015 T1 - Using panel data to estimate the returns to schooling in South Africa TI - Using panel data to estimate the returns to schooling in South Africa UR - http://hdl.handle.net/11427/15593 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/15593
dc.identifier.vancouvercitationMiles CR. Using panel data to estimate the returns to schooling in South Africa. [Thesis]. University of Cape Town ,Faculty of Commerce ,School of Economics, 2015 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/15593en_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.otherApplied Economicsen_ZA
dc.titleUsing panel data to estimate the returns to schooling in South Africaen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMComen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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