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

Includes bibliographical references

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Bibliographic Details
Main Author: Miles, Caitlin Rose
Other Authors: Daniels, Reza
Format: Thesis
Language:English
Published: School of Economics 2015
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access_status_str Open Access
author Miles, Caitlin Rose
author2 Daniels, Reza
author_browse Daniels, Reza
Miles, Caitlin Rose
author_facet Daniels, Reza
Miles, Caitlin Rose
author_sort Miles, Caitlin Rose
collection Thesis
description Includes bibliographical references
format Thesis
id oai:open.uct.ac.za:11427/15593
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:40:53.493Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher School of Economics
publisherStr School of Economics
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/15593 Using panel data to estimate the returns to schooling in South Africa Miles, Caitlin Rose Daniels, Reza Applied Economics Includes bibliographical references 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. 2015-12-04T18:06:26Z 2015-12-04T18:06:26Z 2015 Master Thesis Masters MCom http://hdl.handle.net/11427/15593 eng application/pdf School of Economics Faculty of Commerce University of Cape Town
spellingShingle Applied Economics
Miles, Caitlin Rose
Using panel data to estimate the returns to schooling in South Africa
thesis_degree_str Master's
title Using panel data to estimate the returns to schooling in South Africa
title_full Using panel data to estimate the returns to schooling in South Africa
title_fullStr Using panel data to estimate the returns to schooling in South Africa
title_full_unstemmed Using panel data to estimate the returns to schooling in South Africa
title_short Using panel data to estimate the returns to schooling in South Africa
title_sort using panel data to estimate the returns to schooling in south africa
topic Applied Economics
url http://hdl.handle.net/11427/15593
work_keys_str_mv AT milescaitlinrose usingpaneldatatoestimatethereturnstoschoolinginsouthafrica