Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Wage Inequality: A Gender and Race Analysis of South African Wages between 1994 and 2015
This paper examines wage inequality among the eight race-gender cohorts in South Africa between 1994 and 2015 by using the 1994 October Household Survey and four waves of the 2015 Quarterly Labour Force Survey. Wage inequality is estimated using the Lorenz Curve, Gini Coefficient, General Entropy cl...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
School of Economics
2020
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867614033294655488 |
|---|---|
| access_status_str | Open Access |
| author | Thunde, Jack |
| author2 | Bhorat, Haroon |
| author_browse | Bhorat, Haroon Thunde, Jack |
| author_facet | Bhorat, Haroon Thunde, Jack |
| author_sort | Thunde, Jack |
| collection | Thesis |
| description | This paper examines wage inequality among the eight race-gender cohorts in South Africa between 1994 and 2015 by using the 1994 October Household Survey and four waves of the 2015 Quarterly Labour Force Survey. Wage inequality is estimated using the Lorenz Curve, Gini Coefficient, General Entropy class of indices, Atkinson class of measures and Oaxaca-Blinder Decomposition techniques. Quantile regressions are also run to identify potential factors that could explain inequality in the country. Inequality between 1994 and 2015 has increased and the decomposition of the General Entropy class of indices and Atkinson class of measures find that this increase is being driven by withingroup inequality as between-group inequality has decreased over the period. The Asian/Indian Female cohort was identified as the most equal cohort in 1994 under a range of inequality measures, with the Coloured Female cohort and the Asian/Indian Male cohort the most unequal and equal cohorts in 2015 respectively. Union membership, educational attainment and the industry an individual worked in were found to be the factors affecting within-group inequality with unions and education attainment contributing to the increasing inequality. Differences in mean wages were found to largely be unexplained showing the presence of discrimination. Black/African Females and Coloured Females experienced the most discrimination in the labour market in 2015 while Asian/Indian Females and White Males experienced substantial favouritism. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/31258 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:45:36.513Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| 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:11427/31258 Wage Inequality: A Gender and Race Analysis of South African Wages between 1994 and 2015 Thunde, Jack Bhorat, Haroon Economics This paper examines wage inequality among the eight race-gender cohorts in South Africa between 1994 and 2015 by using the 1994 October Household Survey and four waves of the 2015 Quarterly Labour Force Survey. Wage inequality is estimated using the Lorenz Curve, Gini Coefficient, General Entropy class of indices, Atkinson class of measures and Oaxaca-Blinder Decomposition techniques. Quantile regressions are also run to identify potential factors that could explain inequality in the country. Inequality between 1994 and 2015 has increased and the decomposition of the General Entropy class of indices and Atkinson class of measures find that this increase is being driven by withingroup inequality as between-group inequality has decreased over the period. The Asian/Indian Female cohort was identified as the most equal cohort in 1994 under a range of inequality measures, with the Coloured Female cohort and the Asian/Indian Male cohort the most unequal and equal cohorts in 2015 respectively. Union membership, educational attainment and the industry an individual worked in were found to be the factors affecting within-group inequality with unions and education attainment contributing to the increasing inequality. Differences in mean wages were found to largely be unexplained showing the presence of discrimination. Black/African Females and Coloured Females experienced the most discrimination in the labour market in 2015 while Asian/Indian Females and White Males experienced substantial favouritism. 2020-02-24T11:15:53Z 2020-02-24T11:15:53Z 2019 2020-02-24T10:58:12Z Master Thesis Masters MCom http://hdl.handle.net/11427/31258 eng application/pdf School of Economics Faculty of Commerce |
| spellingShingle | Economics Thunde, Jack Wage Inequality: A Gender and Race Analysis of South African Wages between 1994 and 2015 |
| thesis_degree_str | Master's |
| title | Wage Inequality: A Gender and Race Analysis of South African Wages between 1994 and 2015 |
| title_full | Wage Inequality: A Gender and Race Analysis of South African Wages between 1994 and 2015 |
| title_fullStr | Wage Inequality: A Gender and Race Analysis of South African Wages between 1994 and 2015 |
| title_full_unstemmed | Wage Inequality: A Gender and Race Analysis of South African Wages between 1994 and 2015 |
| title_short | Wage Inequality: A Gender and Race Analysis of South African Wages between 1994 and 2015 |
| title_sort | wage inequality a gender and race analysis of south african wages between 1994 and 2015 |
| topic | Economics |
| url | http://hdl.handle.net/11427/31258 |
| work_keys_str_mv | AT thundejack wageinequalityagenderandraceanalysisofsouthafricanwagesbetween1994and2015 |