Monopsony and Measurement Error in the South African Labour Market
| dc.contributor.advisor | Kerr, Andrew | |
| dc.contributor.author | Forster, Nicholas | |
| dc.date.accessioned | 2025-02-11T12:30:44Z | |
| dc.date.available | 2025-02-11T12:30:44Z | |
| dc.date.issued | 2024 | |
| dc.date.updated | 2025-02-11T12:29:21Z | |
| dc.description.abstract | In this paper, I analyse the extent to which monopsony power is present in the South African labour market by estimating the wage elasticity of labour supply to the firm, following Manning's (2003) method. I also consider the extent to which the method of identifying jobto-job separations and the use of poorly imputed earnings data by StatsSA changes results. I use panel data from the Labour Force Survey and Quarterly Labour Force Survey in South Africa, although only for waves in the QLFS in which I have earnings data with no imputations by StatsSA. I find a low elasticity of labour supply to the firm in South Africa of between 0,68 and 0,83, which suggests that there is substantial monopsony power in South Africa. These estimates are far off infinity, which suggests that using perfect competition to model the South African labour market is not a realistic assumption. I find little difference in this elasticity to the firm across gender and race overall, but some differences across gender within race and across race within gender. I find that the labour supply of more educated individuals is more elastic to the firm than those with less education and that within higher educated groups, men are supplied more elastically than women. This suggests that education lessens vulnerability to monopsony power, and more so for men. Lastly, I find that results are very sensitive to the method of identifying separations, as well as to the use of the imputed StatsSA earnings data. In both cases, the elasticities estimated are less than half the above estimates. Despite measurement error being a concern, the low estimates of the elasticity to the firm are unlikely to be biased downwards to the extent that the South African labour market more closely resembles perfect competition. Thus, those designing policy for the South African labour market should do so from an assumption that the market is imperfectly competitive. Furthermore, these estimates are not far off estimates using administrative data, which suggests that survey data can inform on monopsony power in a labour market when carefully analysed. | |
| dc.identifier.apacitation | Forster, N. (2024). <i>Monopsony and Measurement Error in the South African Labour Market</i>. (). University of Cape Town ,Faculty of Commerce ,School of Economics. Retrieved from http://hdl.handle.net/11427/40914 | en_ZA |
| dc.identifier.chicagocitation | Forster, Nicholas. <i>"Monopsony and Measurement Error in the South African Labour Market."</i> ., University of Cape Town ,Faculty of Commerce ,School of Economics, 2024. http://hdl.handle.net/11427/40914 | en_ZA |
| dc.identifier.citation | Forster, N. 2024. Monopsony and Measurement Error in the South African Labour Market. . University of Cape Town ,Faculty of Commerce ,School of Economics. http://hdl.handle.net/11427/40914 | en_ZA |
| dc.identifier.ris | TY - Thesis / Dissertation AU - Forster, Nicholas AB - In this paper, I analyse the extent to which monopsony power is present in the South African labour market by estimating the wage elasticity of labour supply to the firm, following Manning's (2003) method. I also consider the extent to which the method of identifying jobto-job separations and the use of poorly imputed earnings data by StatsSA changes results. I use panel data from the Labour Force Survey and Quarterly Labour Force Survey in South Africa, although only for waves in the QLFS in which I have earnings data with no imputations by StatsSA. I find a low elasticity of labour supply to the firm in South Africa of between 0,68 and 0,83, which suggests that there is substantial monopsony power in South Africa. These estimates are far off infinity, which suggests that using perfect competition to model the South African labour market is not a realistic assumption. I find little difference in this elasticity to the firm across gender and race overall, but some differences across gender within race and across race within gender. I find that the labour supply of more educated individuals is more elastic to the firm than those with less education and that within higher educated groups, men are supplied more elastically than women. This suggests that education lessens vulnerability to monopsony power, and more so for men. Lastly, I find that results are very sensitive to the method of identifying separations, as well as to the use of the imputed StatsSA earnings data. In both cases, the elasticities estimated are less than half the above estimates. Despite measurement error being a concern, the low estimates of the elasticity to the firm are unlikely to be biased downwards to the extent that the South African labour market more closely resembles perfect competition. Thus, those designing policy for the South African labour market should do so from an assumption that the market is imperfectly competitive. Furthermore, these estimates are not far off estimates using administrative data, which suggests that survey data can inform on monopsony power in a labour market when carefully analysed. DA - 2024 DB - OpenUCT DP - University of Cape Town KW - Economics LK - https://open.uct.ac.za PB - University of Cape Town PY - 2024 T1 - Monopsony and Measurement Error in the South African Labour Market TI - Monopsony and Measurement Error in the South African Labour Market UR - http://hdl.handle.net/11427/40914 ER - | en_ZA |
| dc.identifier.uri | http://hdl.handle.net/11427/40914 | |
| dc.identifier.vancouvercitation | Forster N. Monopsony and Measurement Error in the South African Labour Market. []. University of Cape Town ,Faculty of Commerce ,School of Economics, 2024 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/40914 | en_ZA |
| dc.language.rfc3066 | Eng | |
| dc.publisher.department | School of Economics | |
| dc.publisher.faculty | Faculty of Commerce | |
| dc.publisher.institution | University of Cape Town | |
| dc.subject | Economics | |
| dc.title | Monopsony and Measurement Error in the South African Labour Market | |
| dc.type | Thesis / Dissertation | |
| dc.type.qualificationlevel | Masters | |
| dc.type.qualificationlevel | MCom |