A post apartheid analysis of intra racial earnings inequality in South Africa | LSE III Event

A post apartheid analysis of intra racial earnings inequality in South Africa | LSE III Event

Humanities, Social Sciences & Thought Economics & Finance KCEconomicsKCFLabour
🎙 Mlondi Mveli Mdluli 👥 617 📅 July 13, 2026 ⏱ 46 min 👁 24 📄 original study 🧭 2026-08-16
Available in: English (current) Français

Keywords

intra-racial inequalitygender gapSouth Africaearningsdecomposition

Summary

This seminar, hosted by the LSE International Inequalities Institute, features Mlondi Mveli Mdluli, a PhD candidate at the University of Reading and Member of Parliament in South Africa. The presentation analyzes intra-racial earnings inequality in South Africa from 1993 to 2017, focusing on gender disparities within racial groups. Using the Post-Apartheid Labour Market Series (PALMS) dataset, the study employs decomposable inequality indices (MLD, Theil, Gini) and RIF regressions to decompose earnings gaps at the 10th, 50th, and 90th percentiles. Key findings show that within-race inequality is larger than between-race inequality, and within-gender components contribute significantly. At the 10th percentile, colored females face a ‘sticky floor’ effect, while at the 90th percentile, colored and white females experience a ‘glass ceiling’. The unexplained component (often attributed to discrimination) dominates across most groups and percentiles, suggesting that labor market discrimination persists despite similar characteristics. The study highlights the importance of gender dynamics in understanding post-apartheid inequality.

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Critical Evaluation

Value of the Information & Strength of the Argument

The presentation provides valuable insights into a relatively understudied aspect of inequality in South Africa: intra-racial earnings inequality by gender. The use of multiple inequality measures and decomposition techniques strengthens the analysis. The argumentation is coherent, moving from motivation to methodology to results. The speaker effectively demonstrates that within-race inequality is more significant than between-race inequality, and that gender disparities within racial groups are driven largely by unexplained factors, likely discrimination. The discussion of ‘sticky floor’ and ‘glass ceiling’ effects adds nuance. However, the presentation is somewhat dense, and some results are presented without full context, which may limit accessibility.

Scientific Rigor, Source Quality, Title Accuracy

The study relies on the well-established Post-Apartheid Labour Market Series (PALMS) dataset, which is a credible source for labor market analysis in South Africa. The methodology is appropriate and follows standard econometric techniques. The speaker cites relevant literature, including studies on within-group inequality in the US, Brazil, and Mexico. The title accurately reflects the content. However, as a seminar presentation, the findings are not peer-reviewed, and the speaker acknowledges that some details are omitted. The Q&A session reveals potential limitations, such as the lack of data on household composition and the focus on earnings rather than wealth.

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Title / Content Match

The title accurately reflects the content, which focuses on intra-racial earnings inequality in post-apartheid South Africa.

Quality & Reliability

7/10

The presentation is based on a rigorous academic study using the Post-Apartheid Labour Market Series (PALMS) dataset, with clear methodology (decomposable inequality indices and RIF regressions). The speaker is a PhD candidate and MP, lending credibility. However, the presentation is a seminar talk, not a peer-reviewed publication, and some results are presented without full detail.

Key Moments

Cited Sources

Concurring Sources

  • Within-group inequality in the US — Mentioned in the presentation as a study by Amena (likely Acemoglu) showing rising within-group inequality.

Contribution & Novelties

This study contributes to the literature by focusing on intra-racial earnings inequality by gender in South Africa, a dimension often overlooked. It uses individual earnings rather than household income, which better captures gender dynamics. The decomposition analysis reveals that within-race inequality is more significant than between-race inequality, and that gender disparities are largely driven by unexplained factors, suggesting persistent labor market discrimination. The identification of ‘sticky floor’ and ‘glass ceiling’ effects provides nuanced insights.

Pour aller plus loin :

108 words

Radar Profile

The radar profile shows a balanced performance across all dimensions, with slightly higher scores in information quantity and technical level, indicating a data-rich and methodologically sound presentation. The lower scores in information quality and reliability reflect the seminar format and lack of peer review.

Reliability 7/10

💬 No comments were provided for analysis.