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Includes bibliographical references
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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School of Economics
2015
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| _version_ | 1867613736526675968 |
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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 |