Research on labour markets and education in Southern Africa. Analysis of household data sets and educational evaluation data such as SACMEQ, PIRLS or TIMSS, with a particular focus on labour market outcomes and how these are influenced by education level and quality.
Stellenbosch Working Paper Series No. WP20/2020 Publication date: November 2020
This is a summary report that presents the key findings and approach used in identifying early grade reading benchmarks and thresholds in three Nguni languages: isiZulu, isiXhosa and siSwati.
This report presents the key findings and approach used in identifying early grade reading benchmarks and thresholds in three Nguni languages: isiZulu, isiXhosa and siSwati.
This working paper presents the findings of research into the impact of the COVID-19 pandemic on the curriculum in South Africa. Four research questions frame the report:
This project is linked to the Early Learning Programme (ELP) and uses data from the Readership and Literacy project but is also supplemented by others funded by Economic and Social Research Council (ESRC).
A portion of this project includes reanalysing WCED CEMIS and Systemic Tests to determine how early learning performance affects progressions, dropout, and matric results. The project is currently in its second year and is funded by the Allan Grey Orbis Foundation Endowment.
Using longitudinal data components and disability statistics, this project aims to investigate school-based assessments. Funds have been received from the Michael and Susan Dell Foundation. The project is currently waiting for data.
The data from Wave 1 of NIDS-CRAM showed that women were disproportionately affected by the COVID-19 crisis and the first month of the lockdown period in South Africa. Not only were they much more likely than men to lose their jobs between February and April or to work fewer hours compared to the pre-crisis period, they also took on a greater share of the additional childcare as a result of school closures and the suspension of all childcare services.
A report stemming from NIDS-CRAM wave 1, a project consisting of work by a national consortium of 30 social science researchers from five South African universities. The consortium will conduct the National Income Dynamics Study (NIDS) Coronavirus Rapid Mobile Survey (CRAM) over the course of May – December 2020. The NIDS-CRAM project exists to collect, analyze and disseminate data on a broadly representative sample of South African individuals, and to report on their employment and welfare in light of the COVID-19 pandemic.
Research on Socio-Economic Policy (RESEP)
Department of Economics, Matieland, 7602
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