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The common characteristics of employment status during the Covid-19 Lockdown

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  • Steven Henry Dunga

    (Professor, School of Economic Sciences, North-West University, Vanderbijlpark, RSA)

Abstract

The National Development Plan (NDP) of South Africa identifies the main ills that must be dealt with by 2030. These are poverty and inequality. The NDP also clearly points out the need to deal with unemployment. These build into the sustainable development goals with 2030 as the target year for achievement. Both the NDP for South Africa and the SDGs at the global level had these targets set way before the 2019 coronavirus hit. Now given the disruption that this pandemic caused, the trends and possibility of achieving these goes must be investigated. This paper looks at employment focusing on the characteristics of the people that had a job to return to after the hard lockdown in South Africa. The main objective is to identify the significant predictors of employment status at the household level. The paper uses data from Statistics in South Africa that were collected in 2021 during the midst of the pandemic. Variables such as age, province, race or population group and gender were included in the analysis. The results of the logistic regression show that age, race, age of the province, and household size are all significant predictors of whether the head of the household was in salaried employment during the Covid-19 pandemic. The fact that females were more likely to be in employment is painting a unique picture of the labour force than what is normally observed in the surveys. Key Words:Covid-19; Employment; inequality, poverty

Suggested Citation

  • Steven Henry Dunga, 2022. "The common characteristics of employment status during the Covid-19 Lockdown," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(6), pages 451-457, September.
    • Handle: RePEc:rbs:ijbrss:v:11:y:2022:i:6:p:451-457
    DOI: 10.20525/ijrbs.v11i6.1964
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    References listed on IDEAS

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    1. Precious Mncayi & Steven Henry Dunga, 2019. "Analysis of poverty among the elderly in South Africa using the 2018 GHS data," Proceedings of International Academic Conferences 9912239, International Institute of Social and Economic Sciences.
    2. Mincer, Jacob, 1997. "The Production of Human Capital and the Life Cycle of Earnings: Variations on a Theme," Journal of Labor Economics, University of Chicago Press, vol. 15(1), pages 26-47, January.
    3. Wynand Carel Johannes Grobler & Steve Dunga, 2019. "Analysis of food security status among the elderly in South Africa," Proceedings of International Academic Conferences 9412193, International Institute of Social and Economic Sciences.
    4. Shai, Lerato., 2021. "Public Employment Programmes in the care economy the case of South Africa," ILO Working Papers 995124793102676, International Labour Organization.
    5. Tayyeb Shabbir, 1994. "Mincerian Earnings Function for Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 33(1), pages 1-18.
    6. Steven Henry Dunga, 2019. "Housing insecurity measure, a development of a validated scale using household data," Proceedings of International Academic Conferences 9010627, International Institute of Social and Economic Sciences.
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