Self-assessed well-being and economic rank in South Africa

This study explores subjective measures of well-being in South Africa collected in the first two waves of the National Income Dynamics Study. These subjective measures include individual life satisfaction, current self-assessed economic rank and expected economic rank in the future. The paper describes how the distributions of these measures have changed over the course of the panel and it investigates the relationship between life satisfaction and perceived economic rank in a multivariate context, controlling for individual fixed effects. The panel data suggest a leftward shift in the distribution of life satisfaction over the two waves. Moreover, the majority of adults did not perceive their economic rank as having improved and they reported lower expectations of future upward economic mobility. Perceptions of current and future economic rank are key correlates of life satisfaction, findings that remain robust to controls for unobserved individual heterogeneity.     

Revisiting unemployment levels and trends in South Africa since the transition

Many recent studies compared the 1995 October Household Survey (OHS) with the latest available Labour Force Survey (LFS) to derive the unemployment ‘trends’ in South Africa since the transition, but this approach only gives a snapshot of unemployment at two points in time. Although the better approach is to examine all available labour surveys to derive the real unemployment trends during the period, this does not mean these trends are fully reliable and comparable, as the sampling method, weighting technique, questionnaire design and labour market status derivation methodology to define the unemployed are different across the surveys. In particular, the unemployment estimates in OHS 1995–99 and during the changeover between OHS and LFS in both narrow and broad terms increased rapidly. This paper aimed to address these issues, if possible, in order to improve the comparability and reliability of unemployment aggregates across the surveys.     

Youth unemployment in South Africa revisited

One of the most pressing socio-economic problems of the South African economy is high youth unemployment. Recent studies only briefly examined how youths have fared since the transition by comparing the 1995 October Household Survey with a Labour Force Survey, and hardly investigated whether the discouraged workseekers are different from the unemployed. This paper re-examined youth unemployment trends in the 2008–12 Quarterly Labour Force Surveys, before comparing the characteristics of discouraged workseekers and narrow unemployed. Whether different policies are needed to boost youth employment in each group is also discussed.     

Non-income effect of land ownership and tenure on subjective wellbeing in South Africa

Aside from the very high inequality of land ownership, South Africa is characterised by a dual land tenure system comprising of private ownership and communal land ownership. Using waves 4 and 5 of the National Income Dynamics Study longitudinal data set, a set of econometric methodologies is employed to quantify the impact of ownership and tenure on an index of subjective wellbeing (SWB) constructed from eight self-reported responses covering general life satisfaction, contrast, social capital, mental health and hope for future. Controlling for the income effect and other pertinent drivers of SWB, the study highlights the non-income impact of land ownership and tenure on the subjective wellbeing of individuals. To account for possible endogeneity and self-selection, instrumental variable and matching method-based treatment effects are computed. This paper has two main findings in relation to land tenure in South Africa: (a) land owners have on average a higher index of SWB compared to those not owning land, and (b) owning land privately, compared to owning land communally, has a positive impact on subjective wellbeing within land owners. These results are consistent and statistically significant across the various estimation strategies and provide additional motivation for expediting land reforms in South Africa.     

Measurements and determinants of multifaceted poverty in South Africa

Poverty, despite being a multifaceted concept, is commonly measured in either absolute or relative monetary terms. However, it can also be measured subjectively, as people form perceptions on their relative income, welfare and life satisfaction. This is the first study that uses the National Income Dynamics Study data to analyse poverty across various objective and subjective methods. The paper finds that while respondents' poverty status varies across methods, blacks remain the racial group most likely to be defined as poor by at least one method. The multivariate analysis reveals that the impact of some explanatory variables, such as experience of negative events, frequency of crime victimisation, health status and importance of religious activities, is mixed across methods.     

基于街道的主观幸福指数测评体系的实证研究

本研究基于"个人-社会-地区"的三角模式建立街道层面的主观幸福指数测评体系,包括物质保障、身心健康、家庭社会关系、自我价值实现、生活便利和环境舒畅等六个一级指标。对杭州市上城区清波街道776位居民进行随机入户调查,结果表明:基于街道层面测量居民的主观幸福指数是可行的,可以作为一种自下而上的街道管理创新模式,更好地为实际工作提供方向和指导。     

Labour Market Dynamics in South Africa at the Onset of the COVID-19 Pandemic

This paper conducts an analysis of labour market dynamics in South Africa during the initial period of lockdown, from the end of March to the end of April 2020, using the first wave of the NIDS-CRAM (2020) survey. Within our sample of over 6,000 adults aged 18 to 59, we found that there was a very large decrease in employment. The fraction of the sample that was conventionally classified as employed decreased from 57% in February to 48% in April. If we further exclude temporarily absent workers, which we term “furloughed” employees, this fraction decreases further to 38%. Thus, about one out of every three employed people in our sample either lost their job or did not work and received no wages during April. This has extremely large implications for poverty and welfare. We further analyse the labour market by comparing across demographic groups as defined by race, by gender, by age groups, by geographic areas and by education levels. The over-arching finding from this analysis is that the job losses were not uniformly distributed amongst the different groups. In particular, groups who have always been more vulnerable – such as women, African/Blacks, youth and less educated groups – have been disproportionately negatively affected.     

Underemployment in South Africa

With the introduction of the Quarterly Labour Force Survey since 2008, a newly derived variable, namely underemployed, has become available. It is derived according to the ‘time-related’ approach (i.e. those who are employed, but would like to work longer hours and are available to work longer hours in the near future). However, underemployment could also be derived according to the ‘inadequate employment situations’ approach (e.g. under-utilisation of skills, over-qualification). Because underemployment is a seriously under-researched topic in South Africa, this article investigates the extent of underemployment according to these two definitions, before examining whether the characteristics of the two groups of underemployed are significantly different.     

Job Search and the Measurement of Unemployment in South Africa

We interrogate the distinction between searching and non‐searching unemployment in South Africa using data from the first national panel survey that tracks the individual. In particular, we test whether the non‐searching unemployed display a weaker commitment to the labour market than the searching unemployed, and we investigate what counts as search activity. We find that over the panel, the search status of the unemployed does not predict their subsequent employment status, a result that is robust also for subsamples that vary by age cohort, gender and location. Moreover, social networks are the most important job‐finding strategy of the employed. These findings challenge the exclusion of the non‐searching unemployed from the measure of “genuine” work seekers.     

Macroeconomic Uncertainty in South Africa

This paper develops a new index of economic uncertainty for South Africa for the period 1990–2014. The index is constructed from three sources: (1 ) Disagreement among professional forecasters, (2 ) a count of international and local newspaper articles discussing economic uncertainty in South Africa and (3 ) mentions of uncertainty in the quarterly economic review of the South African Reserve Bank. The index shows high levels of uncertainty around the period of democratic transition in 1992–1994, the large depreciation of the currency in 2001 and the financial crisis of 2008. The uncertainty index is a leading indicator of a recession. An unanticipated increase in the index is associated with a fall in GDP, investment, industrial production and private sector employment. Contrary to evidence for the U.S.A and the U.K., uncertainty shocks are inflationary. These results are robust to controlling for global uncertainty shocks, consumer confidence and financial shocks.     

An investigation into food-away-from-home consumption in South Africa

Food policy that ignores food-away-from-home (FAFH) in a developing country like South Africa will be misleading given changes in demand for food over time. This study contributes to our understanding of the factors that influence the demand for FAFH in South Africa. Using panel data from the Income and Expenditure Survey, this study analyses the effects of income and socio-demographic variables on FAFH expenditure using a double-hurdle model. The results show that small-sized households headed by younger white females/males and living in an urban settlement are most likely to purchase FAFH while male-headed households spend more than female-headed households. Furthermore, income of the household head is an important determinant of household FAFH expenditures. The income elasticity of expenditure on FAFH is inelastic and a normal good. The small size of the participation elasticities means that growth in the FAFH sector will be driven by households with existing expenditure.     

When is enough,enough? Advocacy,evidence and criticism in the field of urban agriculture in South Africa

In South Africa, the advocacy of urban agriculture as a means of improving the plight of the urban poor has been a major theme in the literature since the early 1990s. Ironically, the criticism of that advocacy has almost as long a history. To elucidate these two themes, this paper investigates the evidence on which the advocacy is based, outlines the criticism of the advocacy, and analyses the responses to the criticism. It suggests that continued advocacy in the face of disconfirming evidence is misplaced and calls for greater caution. It observes that responses to the criticism have been weak and concludes that continued advocacy and continued criticism, in parallel, hamper debate. Unless there is engagement between the advocates and the critics, not only will the field of urban agriculture suffer, but so will the urban poor.     

Inflation in South Africa: An Assessment of Alternative Inflation Models

We consider the relative empirical performance of a range of inflation models for South Africa. Model coverage is of Phillips curve, New Keynesian Phillips curve, monetarist and structural models of inflation. Our core findings are that the single most robust covariate of inflation is unit labour cost. We further decompose unit labour cost into changes in the nominal wage and real labour productivity. The principal association is a strong positive relationship between inflation and nominal wages, while improvements in real labour productivity report only a relatively weak negative association with inflation. Supply‐side shocks also consistently report an association with inflation. As to demand‐side shocks, the output gap does not return a robust statistical association with inflation. Instead, it is growth in the money supply and government expenditure which return robust and theoretically consistent associations with inflationary pressure.     

Infrastructure and Growth in South Africa: Direct and Indirect Productivity Impacts of 19 Infrastructure Measures

Empirical explorations of the growth and aggregate productivity impacts of infrastructure have been characterized by ambiguous (countervailing signs) results with little robustness. This paper, utilizing panel data for South African manufacturing over the 1970–2000 period, and a range of 19 infrastructure measures, explores the question of infrastructure endogeneity in output equations. The paper develops an instrumentation strategy generalizable to other contexts. Controlling for the possibility of endogeneity in the infrastructure measures renders the impact of infrastructure capital not only positive, but of economically meaningful magnitudes.     

One Kind of Freedom: Poverty Dynamics in Post-apartheid South Africa

A 1993 South African living standards survey documented the legacy of apartheid in the form high levels of inequality and human insecurity. Drawing on a 1998 re-survey of households in the 1993 study, this paper explores whether this legacy has been superseded, or whether apartheid's end has been only one kind of freedom that has left households in a poverty trap from which they cannot escape. After proposing a theoretically grounded dynamic poverty typology that distinguishes stochastic from structural poverty transitions, the paper goes on to estimate that significant numbers of the South African poor are potentially trapped in a structural poverty trap and lack the means to escape poverty over time.     

A Spatial Analysis of Property Crime Rates in South Africa

The main objective of this paper is to examine the relationship between two types of property-related crime and some socio-economic, demographic and deterrence factors. It employs the conditional autoregressive specification to account for spatial autocorrelation that characterises property-related crime data, which are aggregated up to the level of municipality. First, the analysis confirms the presence of spatial autocorrelation in the data, which means that neighbouring municipalities exhibit similar levels of property crime rates. In addition, and most importantly, empirical findings show that internal migration, youth and education are important predictors of property-related crime across municipalities in South Africa for the period under consideration.