A key output for each of the REDI3x3 funded projects is the production of a publishable working paper. The papers below are those published by the project, since its inception in the later half of 2012.
A total of 78 papers were commissioned. These will be added to the list below, as they are completed.
There is broad consensus that youth unemployment in South Africa is critical, with latest figures confirming that one half of young people 15–34 years are unemployed by the broad definition1 (Statistics South Africa 2018). The situation is increasingly viewed as a national emergency, as the high level of youth unemployment is expected to lead to an increasing sense of exclusion among young people and to heightened ‘levels of frustration and impatience’ (National Planning Commission 2012). Indeed, prolonged periods of unemployment among young people have profoundly negative effects on their physical and mental well-being and
feed the vicious cycle of exclusion and poverty (De Lannoy, Leibbrandt and Frame 2015).
This situation is, however, not the outcome of a lack of effort, expenditure and enquiry, by a range of stakeholders, into the drivers of youth unemployment and into interventions to address the challenge. Since 1990, a wide range of policy efforts and a range of interventions have been implemented to deal with youth unemployment. These include the fairly recently introduced Employment Tax Incentive (ETI), which is intended to stimulate demand for young workers; but also massive investments into the Expanded Public Works Programme (EPWP), with its large youth targets; and a variety of private sector and civil society-led training programmes, which, ultimately, aim to place young people in employment.
This paper examines both the evidence about what drives youth unemployment, the policy and programmatic interventions that have sought to address it, as well as the government agencies that have been tasked with dealing with youth unemployment.
This paper investigates top percentile incomes in South Africa using tax data. It finds that top incomes increased rapidly between 2003-2016, growing on average by 5% per year. In particular, the country’s low aggregate growth rate over the post-recession period masks the divergence in prosperity across the income distribution. A pattern of growth has persisted, where nearly 60% of the adult population has no labour market income, the 60-75th percentiles experience some growth, the 75-90th percentiles maintain relatively stagnant real incomes, and the top percentiles grow rapidly. The labour market remains the most important contributor to these high incomes. Salary and bonuses account for 80% of total income at the 95th percentile, and still make up 50% of total income at the 99.99th percentile. However, part of the growth does appear to be driven by non-labour market sources of income. Income recorded from shares has grown at an astonishing 10-15% per year between 2003-2015 across the 95-100th percentiles. Despite South Africa’s need for inclusive economic growth as one of the most unequal countries in the world, these patterns suggest that the income trajectories of the rich continue to diverge from the rest of the distribution.
We estimate the parameters of a Pareto distribution for South African earnings as measured through the October Household Surveys, Labour Force Surveys and Quarterly Labour Force Surveys, as assembled in the Post-Apartheid Labour Market Series (PALMS). We develop an outlier detection algorithm consistent with this distribution and then adjust the Gini coefficient for inequality in the top tail, using the robust estimation technique of Cowell and Flachaire. That procedure suggests that wage inequality is a bit higher than conventionally estimated. We also show that the top tail of the South African earnings distribution is ‘thick-tailed’ and explore what that means. Our analyses show big shifts in the distribution in some of the surveys in ways that suggest measurement changes rather than changes in the underlying distribution.
A key factor linked to South Africa’s relatively high maternal mortality ratio is late access to antenatal care. Early access is especially important in the SA context with its high prevalence of HIV amongst pregnant women. This study examined the impact of a package intervention (consisting of an incentive called the Thula Baba Box and a community health worker programme) on the utilisation of maternal health services at an earlier gestational age. To evaluate the impact of the package intervention, a pilot randomised controlled trial involving 100 women of age 18 and older was conducted in an urban area. Women in the treatment group were eligible to receive both the Thula Baba Box and at least two community health worker visits, while women in the control group were subject to standard clinical practice. Both groups were interviewed at recruitment and once again after giving birth. The measured outcomes are the timing of antenatal care visit, whether they attended more than four times and whether they gave birth at a health facility. The paper found that women in the treatment group were likely to seek care on average 1.35 months earlier than women in the control group. They were also significantly more likely to go to the antenatal clinic at least four times. The intervention had no detectable impact on the probability of giving birth at a facility. Women exposed to the Thula Baba Box and community health worker support were significantly more likely to utilise maternal healthcare services than their counterparts. The intervention can be a useful tool to improve maternal health outcomes.
This paper estimates the determinants and effects of latent female household bargaining power for two-adult South African households using cross-sectional data. We apply a new technique which allows us to separately identify relative gender preferences for different commodities and the effect of distribution factors on latent female bargaining power from household survey data. We find that female household members have a stronger preference for expenditure on communication, clothing, personal care and medical expenses, while male members have a stronger preference for alcohol and tobacco, food and entertainment. Additional refutability tests confirm that our two preferred distribution factors – the local sex ratio and the male’s maternal education share – affect consumption decisions via participation in household decisions and not through preferences. Estimates of gendered commodity preferences are used to investigate the effect of other candidate distribution factors on female bargaining power. The results indicate that female bargaining power tends to be higher amongst women who earn relatively more, who come from richer parental households, and who have been married for longer. Finally, our estimates of female bargaining power are used to determine its effect on labour market outcomes. Greater female bargaining power tends to increase the probability that the male will be employed, and that he will work more hours. Although bargaining power does not seem to affect the probability of female employment, employed women with more bargaining power tend to work shorter hours.
The high level of youth unemployment in South Africa has prompted investigation surrounding whether youth are holding reservation wages in excess of what they can expect to earn in the labour market, thereby ‘pricing’ themselves out of the market for employment. This paper examines arguments for this theory using data from Cape Town, South Africa. The focus is getting an appropriate measure of the actual reservation wage that features in labour-market decision-making by youth. This paper finds that self-reported reservation wages are unrealistically high for a substantial proportion of the sample when compared with what youth are predicted to earn in the labour market. However, this does not translate into diminished likelihood of employment for these youth. Further analysis indeed reveals that self-reported reservation wages are likely to be too high when compared with the wage at which youth are willing to undertake employment in reality. This is, at least in part, due to the way respondents interpret the question. In addition, self-reported reservation wages may fail to capture the nuances involved in reservation wage formation, in particular job taste considerations made when deciding whether to accept work. This supports the case for constructing a more accurate measure, i.e. of revealed reservation wages, in determining whether reservation wages indeed are unrealistic. When revealed reservation wages of youth are compared with predicted wages, a very small percentage of the youth in the sample are found to be holding unrealistic reservation wages. Therefore, evidence from the CAPS data, utilizing supplementary reservation-wage-inducing questions as well as additional interviews, does not support the claim that unrealistic reservation wages are contributing to the unemployment problem in Cape Town, South Africa. Furthermore, this analysis provides evidence against the standard use of self-reported reservation wage data in the examination of the relationship between reservation wages and employment outcomes.
This paper examines the wage structure and size of the public sector over the post-apartheid period. It does so both descriptively, examining the mean and median earnings in the public sector in the post-Apartheid period and the estimates of total public sector employment and wage bill using household survey data from the post-Apartheid Labour Market Series (PALMS). Trends in earnings and employment from the household survey data are also compared with the macro aggregates published by the South African Reserve Bank (SARB). The earnings premium for public sector workers is estimated using Ordinary Least Squares (OLS) Mincerian wage regressions and quantile regression techniques. This paper also investigates the effects of earnings imputation in the Quarterly Labour Force surveys on the estimates of the public sector earnings premium.
Comparing earnings in the tax assessment data to those in the QLFS, it appears that earnings of employees in the QLFS are underreported by perhaps 40%, with bigger gaps near the top of the distribution. Benefits and annual bonuses contribute substantially to the gap. In the case of self-employment incomes it is also the case that high earnings are missing or underreported in the QLFS, but the tax data seems to miss many mid- and low-income selfemployed earners. These differences make sense when one considers the incentives for reporting accurately to SARS versus to Statistics South Africa. These errors mean that earnings inequality as measured by the Gini coefficient is probably underestimated in the surveys by three percentage points.
How do poor households respond to the cessation of cash transfers in developing countries? South Africa’s generous social pension system results in most of the poor elderly being the primary ‘breadwinner’ in the household. I extract a longitudinal dataset using the rotating panel component of the nationally representative Quarterly Labour Force Surveys, and use fixed effects regression models to estimate the magnitude of changes in household composition and employment that coincide with the departure of a pensioner from the household. I find statistically significant changes in both of these outcome measures. Compositional changes include a decrease in the number of school going aged children, the number of teenagers, and the number of young adults; while the number of older adults increases. I also find significant increases in the number of employed prime aged adults and older adults. The combination of compositional changes and employment changes results in an increase in the mean proportion employed in all of the working age adult groups that we investigate. Overall, households respond by decreasing the number of dependents, increasing the number of potential caregivers, and increasing the proportion of adults engaged in income generating activities.
The South African youth unemployment rate is extremely high, at well over 50% of youth using the narrow definition of unemployment. This high unemployment rate has been a chronic problem and has been at these or similar levels since the democratic transition in 1994. Unemployment rates were probably also very high for a substantial period before 1994, but the lack of suitable data from that period makes precise measurement of the unemployment rates for that era quite impossible. This paper makes use of the first three waves of the nationally representative longitudinal dataset obtained from the National Income Dynamics Study, to explore the factors that assist school leavers in finding employment. By means of descriptive statistics and regression analyses, it estimates the differences in job finding rates by gender, geographical location, educational attainment, household structure and migration status. The results are not particularly surprising. Male youth, better educated youth, and youth who migrate from rural areas to urban areas tend to have better job prospects on leaving school.