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Employment uncertainty in the era of COVID-19: Evidence from NIDS-CRAM and the QLFS

Author

Listed:
  • Reza C. Daniels
  • Kim Ingle
  • Timothy S.L. Brophy

Abstract

This paper conducts an analysis of employment uncertainty in South Africa during the first year of the COVID-19 pandemic, using NIDS-CRAM and five waves of Statistics SA's Quarterly Labour Force Survey (QLFS: 2020-Q1 to 2021-Q1). We find that much of the differences in estimates of labour force states including employment, unemployment and not economically active, are due to different initial conditions and different reference periods between the two surveys, as well as the way that uncertain job attachment is measured in the questionnaires. This leads to higher estimates of employment in NIDS-CRAM compared to the QLFS for both a pre-pandemic baseline and over the entire period investigated (February 2020 to March 2021). This implies the two data sources are not strictly comparable, but rather complementary when analysing different aspects of the labour force. We discuss the implications for labour market research based on these data sources.

Suggested Citation

  • Reza C. Daniels & Kim Ingle & Timothy S.L. Brophy, 2022. "Employment uncertainty in the era of COVID-19: Evidence from NIDS-CRAM and the QLFS," Development Southern Africa, Taylor & Francis Journals, vol. 39(5), pages 623-643, September.
    • Handle: RePEc:taf:deveza:v:39:y:2022:i:5:p:623-643
    DOI: 10.1080/0376835X.2022.2089635
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    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs

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