An empirical analysis of trends in female labour force participation and the gender wage gap in South Africa

References

• Bertrand M, Goldin C & Katz L (2010) ‘Dynamics of the gender gap for young professionals in the financial and corporate sectors’, in American Economic Journal: Applied Economics, 2,3, 228-255.
   Web of Science ®Google Scholar
• Bhorat H, Goga S & Stanwix B (2014) ‘Skills-biased labour demand and the pursuit of inclusive growth in South Africa’, Working Paper 2014/130, Helsinki: UNU-WIDER.
   Google Scholar
• Bhorat H, Hirsch A, Kanbur R & Ncube M (2014) ‘Economic policy in South Africa-past, present and future’ in Bhorat H, Hirsch A, Kanbur R & Ncube M (eds) The Oxford Companion to the Economics of South Africa, Oxford: Oxford University Press.
   Google Scholar
• Blau F & Kahn L (2016) ‘The Gender Wage Gap: Extent, Trends, and Explanations’, IZA Discussion Paper, No.9656.
   Google Scholar
• Branson N & Wittenberg M (2007) ‘The measurement of employment status in South Africa using cohort analysis, 1994-2004’, in South African Journal of Economics, 75, 2, 313-326. doi: 10.1111/j.1813-6982.2007.00113.x
   Web of Science ®Google Scholar
• Branson N & Wittenberg M (2014) ‘Reweighting South African national household survey data to create a consistent series over time: A cross-entropy estimation approach’, in South African Journal of Economics, 82, 1, 19-38. doi: 10.1111/saje.12017
   Web of Science ®Google Scholar
• Budlender D (2019) ‘Changes in the care burden over the transition to adulthood’, SALDRU Working Paper Number 234, Version 1/ NIDS Discussion Paper 2019/1. Cape Town: SALDRU, University of Cape Town.
   Google Scholar
• Budlender D & Lund F (2011) ‘South Africa: A legacy of family disruption’, Development and Change 42, 4, 925-946. University of Cape Town. doi: 10.1111/j.1467-7660.2011.01715.x
   PubMed Web of Science ®Google Scholar
• Casale D (2004) ‘What has the feminisation of the labour market bought women in South Africa? Trends in labour force participation, employment and earnings, 1995-2001’, in Journal of Interdisciplinary Economics, 15, 3-4, 251-275. doi: 10.1177/02601079X04001500302
   Google Scholar
• Casale D, Muller C & Posel D (2004) ‘Two million net new jobs a reconsideration of the rise in employment in South Africa, 1995-2003’, in South African Journal of Economics, 72, 5, 978-1002. doi: 10.1111/j.1813-6982.2004.tb00141.x
   Web of Science ®Google Scholar
• Casale D & Posel (2002) ‘The continued feminisation of the labour force in South Africa’, in South African Journal of Economics, 70, 1, 156-184. doi: 10.1111/j.1813-6982.2002.tb00042.x
   Web of Science ®Google Scholar
• Casale D & Posel D (2005) ‘Women and the economy: how far have we come?’ in Agenda, 19, 64, 21-29.
   Google Scholar
• Cock J (1980) Maids and madams: a study in the politics of exploitation, Johannesburg: Ravan Press.
   Google Scholar
• Contreras D, Puentes E & Bravo D (2005) ‘Female labour force participation in greater Santiago, Chile: 1957-1997. A synthetic cohort analysis’, Journal of International Development, 17, 2, 169-186. doi: 10.1002/jid.1161
   Google Scholar
• Deaton A (1985) ‘Panel data from time series of cross-sections’, in Journal of econometrics, 30, 1, 109-126. doi: 10.1016/0304-4076(85)90134-4
   Web of Science ®Google Scholar
• Deaton A (1997) The analysis of household surveys: a micro econometric approach to development policy, Baltimore: Johns Hopkins University Press.
   Google Scholar
• Gardes F, Duncan J, Gaubert P, Gurgand M, & Starzec C (2005) ‘Panel and pseudo-panel estimation of cross-sectional and time series elasticities of food consumption: The case of US and Polish data’, in Journal of Business & Economic Statistics, 23,2, 242-253. doi: 10.1198/073500104000000587
   Web of Science ®Google Scholar
• Goldin C (2014) ‘A grand gender convergence: Its last chapter’, in The American Economic Review, 104, 4, 1091-1119. doi: 10.1257/aer.104.4.1091
   Web of Science ®Google Scholar
• Grün C (2004) ‘Racial and gender wage differentials in South Africa: What can cohort data tell?’ Tech. rept. Munich Discussion Paper.
   Google Scholar
• Kerr A, Lam D & Wittenberg M (2016) Post-Apartheid Labour Market Series. [dataset]. Version 3.1. Cape Town: DataFirst [data producer and distributor].
   Google Scholar
• Kerr A & Wittenberg M (2015) ‘Sampling methodology and fieldwork changes in the October Household Surveys and Labour Force Surveys’, in Development Southern Africa, 32, 5, 603-612. doi: 10.1080/0376835X.2015.1044079
   Web of Science ®Google Scholar
• Kumchulesi G (2010) ‘An economic analysis of declining marriages in post-apartheid South Africa, 1995-2006’, Ph.D. thesis, University of Cape Town.
   Google Scholar
• Leibbrandt M, Woolard I, McEwen H & Koep C (2010) ‘Employment and inequality outcomes in South Africa’, Southern Africa Labour and Development Research Unit, Cape Town: University of Cape Town.
   Google Scholar
• Mincer J (1974) Schooling, Experience, and Earnings, Cambridge, MA: NBER.
   Google Scholar
• Mosomi J (2019a) ‘Distributional changes in the gender wage gap in the post-apartheid South African labour market’, WIDER Working Paper 2019/17, Helsinki: UNU-WIDER.
   Google Scholar
• Mosomi J (2019b). ‘Distributional changes in the gender wage gap in the post-apartheid South African labour market’, Ph.D. thesis, University of Cape Town.
   Google Scholar
• Muller C (2009) ‘Trends in the gender wage gap and gender discrimination among part-time and fulltime workers in post-apartheid South Africa’, Working paper number 124, Durban, South Africa: University of KwaZulu Natal.
   Google Scholar
• Neyens E & Wittenberg M (2016) ‘Changes in Self-Employment in the Agricultural Sector, South Africa: 1994-2012’, Working Paper, Cape Town: DataFirst University of Cape Town.
   Google Scholar
• Ntuli M & Wittenberg M (2013) ‘Determinants of black women’s labour force participation in post-apartheid South Africa’, in Journal of African economies, 22, 3, 347-374. doi: 10.1093/jae/ejs039
   Web of Science ®Google Scholar
• Posel D & Casale D (2001) ‘Gender aggregates: Women subsistence farmers affect the unemployment count’, in Agenda, 49, 82-88.
   Google Scholar
• Seekings J & Nattrass N (2008) Class, race, and inequality in South Africa, Yale University Press.
   Google Scholar
• Shepherd D (2008) ‘Post-apartheid trends in gender discrimination in South Africa: Analysis through decomposition techniques’, Stellenbosch, University of Stellenbosch.
   Google Scholar
• Spaull N & Van Broekhuizen H (2017) ‘The “Martha Effect”: The Compounding Female Advantage in South African Higher Education’, Working Paper 14, Stellenbosch: Stellenbosch University.
   Google Scholar
• Standing G, Sender J & Weeks J (1996) ‘Restructuring the labour market: The South African challenge’, An ILO country review, Geneva: International Labour Office.
   Google Scholar
• Van der Westhuizen C, Goga S & Oosthuizen M (2007) ‘Women in the South African Labour Market 1995-2005’, Working Paper 06/118. Cape Town: Development Policy Research Unit, University of Cape Town.
   Google Scholar
• Wittenberg M (2014) ‘Analysis of employment, real wage, and productivity trends in South Africa since 1994’, Conditions of Work and Employment. Series 45, International Labour Office: Geneva.
   Google Scholar
• Wittenberg M & Pirouz F (2013) ‘The measurement of earnings in the post-Apartheid period: An overview’, Technical paper 23, Cape Town: DataFirst, University of Cape Town.
   Google Scholar
• Wittenberg M & Kerr A (2019) ‘Wage Determination in South Africa: The Case of the Union Wage Premium since the End of Apartheid’, Unpublished paper. Cape Town: University of Cape Town.
   Google Scholar
• Yu D (2007) ‘The comparability of the Statistics South Africa October Household Surveys and Labour Force Surveys’, Stellenbosch Economic Working Papers 17/07, Stellenbosch: Stellenbosch University.
   Google Scholar