Unemployment in South Africa: Descriptors & Determinants¶
Haroon Bhorat (2007). Unemployment in South Africa: Descriptors & Determinants. Presentation to the Commission on Growth and Development, World Bank, Washington DC, 15 October. School of Economics & Development Policy Research Unit, University of Cape Town.
| Type | conference paper |
| Scope | Post-1994 South African economy |
| Method | mixed |
| Period studied | 1990–2005 |
| Regions | South Africa |
| Themes | inequality poverty unemployment, labour markets wages, education human capital, unions strikes, transition post apartheid, demography urbanisation |
| Citation key | bhorat2007b |
Argument¶
The slides describe post-apartheid unemployment using household survey data for 1995-2005 and a multivariate probit analysis. They argue that race, gender, age, location and schooling are the main markers of unemployment. They reject a 'jobless growth' explanation, because the employment elasticity of GDP rose to 0.80 in 1995-2005. Instead they point to rapid labour-force growth, skills-biased demand shifts that leave excess labour alongside a skills shortage, high union wage premia and relatively rigid labour regulation. They also stress the apartheid legacy of bifurcated schooling. The deck closes with policy options: reform higher education, improve job placement, improve regulatory efficiency, create a dual youth labour market and a youth cadet service, and pick winners in schooling.
Evidence and method¶
Post-1995 national household and labour force survey data, probably Statistics South Africa. The slides cite ILO (2007) and KILM 2007 for international comparisons, Fields et al. 1999 for wage-employment elasticities, and Statistics South Africa 1995 and 2000 with own calculations for the growth incidence curve. They also use a probit with a selection term (lambda), quantile wage regressions for union and bargaining-council premia, and cross-country labour regulation rigidity indices. No archival material is used.
Findings¶
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Scale of unemployment in 2005: about 7.8 million people unemployed on the broad definition. (p. 5)
Unemployed numbered approximately 7.8 million individuals in 2005
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Discouraged work-seekers are a large share of broad unemployment, so the definition used matters for measuring unemployment. (p. 5)
Discouraged work seekers constitute 42% of broadly unemployed
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Race, gender, age, location and schooling are the key determinants of unemployment in the multivariate analysis. (p. 11)
Race, Gender, Age, Location & Schooling serve as the key attributes defining and explaining broad and narrow unemployment rates in South Africa.
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Apartheid schooling still shapes outcomes: disadvantage remains concentrated in former African schools, which show lower matric pass rates and higher pupil-teacher ratios. (p. 12)
A bifurcated schooling system, where disadvantage is still located within former African Schools
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Graduate unemployment is mainly a problem of diplomas and certificates, not degrees. (p. 13)
Only 18% of unemployed graduates have degrees: Clearly the bulk of the problem is with diplomas and certificates
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The 1995-2005 employment-GDP elasticity (0.80, against 0.16 in 1990-95) means that for the growth achieved, employment expansion was adequate. (p. 15)
For Given Level of Growth, Employment Expansion Adequate
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Labour demand shifted towards skilled workers (mostly within-sector shifts), producing excess labour supply alongside a skills shortage. (p. 19)
The nature & trajectory of labour demand results in the co-existence of an excess supply of labour with a chronic skills shortage in the economy
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Estimated wage-employment elasticities are in the normal range for developing countries (private sector total -0.35 in 1990-93 and -0.53 in 1994-98), which raises the question of wage adjustment. (p. 20)
Elasticity value not unusual for developing country estimates
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Regulatory rigidity is driven mainly by dismissal law, unfair labour practice provisions and fixed-term contract rules, though the indices measure legislation only. (p. 24)
Source of Rigidity: legislation on dismissals; unfair labour practices; fixed-term contracts etc.
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Growth in 1995-2000 favoured the non-poor, while state transfers after 2000 helped spread the gains. (p. 26)
Growth path in the 1995-2000 period biased against the poor