Education and Youth Unemployment in South Africa
The problem of high youth unemployment is a global phenomenon. According to an International Labour Office study in 2004, youth (15-24) make up nearly half (47%) of the world's unemployed, 88 million out of 186 million, even though youth are only 25% of the world's working age population. Of the world's 550 million working poor who cannot lift themselves above US $1 per day poverty measure, 150 million are youth. The ILO estimated in 2004 that halving global youth unemployment would increase global GDP by US $2.2 trillion, 4% of global GDP. These statistics lend weight to the notion that youth unemployment is a problem worthy of attention. In addition, one may argue that addressing unemployment in general would also lower poverty levels and add to GDP (World Bank 2006).
|Date of creation:||Sep 2008|
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- David Lam & Cally Ardington & Murray Leibbrandt, 2007.
"Schooling as a Lottery: Racial Differences in School Advancement in Urban South Africa,"
56, Economic Research Southern Africa.
- Lam, David & Ardington, Cally & Leibbrandt, Murray, 2011. "Schooling as a lottery: Racial differences in school advancement in urban South Africa," Journal of Development Economics, Elsevier, vol. 95(2), pages 121-136, July.
- David Lam & Cally Ardington & Murray Leibbrandt, 2007. "Schooling as a Lottery: Racial Differences in School Advancement in Urban South Africa," SALDRU Working Papers 18, Southern Africa Labour and Development Research Unit, University of Cape Town.
- Geeta G. Kingdon & John B. Knight, 2000.
"Are searching and non-searching unemployment distinct states when unemployment is high? The case of South Africa,"
CSAE Working Paper Series
2000-02, Centre for the Study of African Economies, University of Oxford.
- Geeta Kingdon & John Knight, 2000. "Are Searching and Non-searching Unemployment Distinct States when Unemployment is High? The Case of South Africa," Economics Series Working Papers WPS/2000-02, University of Oxford, Department of Economics.
- Taryn Dinkelman, 2004. "How Household Context Affects Search Outcomes Of The Unemployed In Kwazulu-Natal, South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 72(3), pages 484-521, 09.
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