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Measuring Wages and Inequality in South Africa Using Two Nationally Representative Data Series
The National Income Dynamics Study (NIDS) and the Post-Apartheid Labour Market Series (PALMS) are two data sources frequently relied upon for research into earnings in South Africa. This paper contributes to the literature in three ways. Firstly, I show how NIDS data can be adjusted to account for i...
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| Format: | Thesis |
| Language: | English |
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School of Economics
2019
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| _version_ | 1867613831098793984 |
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| access_status_str | Open Access |
| author | McDougall, Bruce |
| author2 | Wittenberg, Martin |
| author_browse | McDougall, Bruce Wittenberg, Martin |
| author_facet | Wittenberg, Martin McDougall, Bruce |
| author_sort | McDougall, Bruce |
| collection | Thesis |
| description | The National Income Dynamics Study (NIDS) and the Post-Apartheid Labour Market Series (PALMS) are two data sources frequently relied upon for research into earnings in South Africa. This paper contributes to the literature in three ways. Firstly, I show how NIDS data can be adjusted to account for item non-response using a bracket reweighting technique and the effects thereof. Secondly, I consider how estimates of the wage distribution differ between NIDS and PALMS when using the most comparable estimation methods available. Finally, I discuss what the data reveal about the evolution of inequality in South African wages between 2008 and 2014. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/29438 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:42:23.684Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| 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:11427/29438 Measuring Wages and Inequality in South Africa Using Two Nationally Representative Data Series McDougall, Bruce Wittenberg, Martin Economics The National Income Dynamics Study (NIDS) and the Post-Apartheid Labour Market Series (PALMS) are two data sources frequently relied upon for research into earnings in South Africa. This paper contributes to the literature in three ways. Firstly, I show how NIDS data can be adjusted to account for item non-response using a bracket reweighting technique and the effects thereof. Secondly, I consider how estimates of the wage distribution differ between NIDS and PALMS when using the most comparable estimation methods available. Finally, I discuss what the data reveal about the evolution of inequality in South African wages between 2008 and 2014. 2019-02-08T14:06:39Z 2019-02-08T14:06:39Z 2018 2019-02-07T08:32:30Z Master Thesis Masters MCom http://hdl.handle.net/11427/29438 eng application/pdf School of Economics Faculty of Commerce University of Cape Town |
| spellingShingle | Economics McDougall, Bruce Measuring Wages and Inequality in South Africa Using Two Nationally Representative Data Series |
| thesis_degree_str | Master's |
| title | Measuring Wages and Inequality in South Africa Using Two Nationally Representative Data Series |
| title_full | Measuring Wages and Inequality in South Africa Using Two Nationally Representative Data Series |
| title_fullStr | Measuring Wages and Inequality in South Africa Using Two Nationally Representative Data Series |
| title_full_unstemmed | Measuring Wages and Inequality in South Africa Using Two Nationally Representative Data Series |
| title_short | Measuring Wages and Inequality in South Africa Using Two Nationally Representative Data Series |
| title_sort | measuring wages and inequality in south africa using two nationally representative data series |
| topic | Economics |
| url | http://hdl.handle.net/11427/29438 |
| work_keys_str_mv | AT mcdougallbruce measuringwagesandinequalityinsouthafricausingtwonationallyrepresentativedataseries |