While objective class dynamics have received much attention in South Africa, less is known about the subjective social positions individuals place themselves in. For example, in a highly unequal society like South Africa, some individuals would overestimate (inflate) or underestimate (deflate) their social position compared to their objective class position. This paper aims to provide further information on status inconsistency in South Africa by assessing some of the socioeconomic determinants of bias perceptions. Using International Social Survey Programme (ISSP) data and a multinomial probit model, the results show that education and race play a significant role in influencing the biased perceptions of individuals in South Africa. For example, individuals with higher education levels have a stronger tendency to deflate their social position, while Coloreds, Indians/Asians, and whites tend to inflate their social positions more than Africans. The results indicate the vital role of race and education in determining status inconsistencies in a society that is still suffering from high levels of racial and education inequality due to the lingering legacy of apartheid. The results provide a better understanding to policymakers and government on the dynamics behind social status perceptions in South Africa.

No abstract

This paper uses archival data from colonial South Africa over the 1859-1910 period to investigate the impact of education on economic growth. The analysis applies fixed effect to account for unobserved colony-level heterogeneity and minimise the omitted variable bias. It also employs fixed effects two-stage least squares (FE-2SLS) estimator to account for a possible endogeneity bias due to reverse causation between economic growth and education or other forms of endogeneity problem. The results suggest that levels of education (proxied by spending on education) have a robust positive impact on economic growth. Results are robust to addressing the potential reverse causality of education influencing economic growth and using alternative measures of education (proxied by enrolment rate).

No abstract

This paper contributes to the literature on the effects of adverse economic conditions on gender differences in the labour market by assessing how COVID-19, a global trigger for a critical adverse condition, impacted gender differences in the labour market in a country with pronounced discrimination and inequality in the labour market. In fact, the paper investigates how the personal characteristics of women and men affected their likelihood of losing jobs during and before COVID-19 in South Africa. Using the database of the National Income Dynamics Study-Coronavirus Rapid Mobile Survey (NIDS-CRAM) and NIDS wave 5 dataset and based on logit regression, the paper finds that personal characteristics such as tertiary education had a negative effect on job losses among females. Moreover, the results show that, compared to male workers, female workers were the most affected by the pandemic due to the lockdown regulation that affected many households’ behaviour.