African National Income Dynamics Study Research Articles

The importance of intersectionality in disability and gender studies

abstractInvestigations into the relationship between poverty and disability are limited, particularly from a South African perspective. In addition, when this relationship is addressed it is usually in isolation of other social characteristics, such as gender. As such the intersections between disability, gender, race and poverty are often overlooked – yet internationally research points to gender gaps in outcomes for people with disabilities. This briefing seeks to address this gap by reporting on a national study on poverty and disability in South Africa. We make use of the theory of intersectionality as a lens to interpret evidence from a national survey, the South African National Income Dynamics Study (South African Labour and Development Research Unit, 2014). Specifically, we assess how poverty and disability intersect to shape particular outcomes for women as compared to men with disabilities. This briefing demonstrates that in South Africa disability intersects with gender as well as age and race to result in negative outcomes in education, employment and income for all people with disabilities, but particularly black women with disabilities. Evidence is provided for what we theorise to be the case – that disability and gender intersect to compound negative outcomes for black women with disabilities.

Increase of perceived frequency of neighborhood domestic violence is associated with increase of women's depression symptoms in a nationally representative longitudinal study in South Africa

Studies that examine the effects of neighborhood characteristics on mental health show that perceptions of general neighborhood violence are associated with depression across diverse populations (Clark et al., 2008; Velez-Gomez et al., 2013; Wilson-Genderson & Pruchno, 2013). However, to our knowledge, none have examined the specific effect of perceived frequency of neighborhood domestic violence (PFNDV) on residents' mental health, despite knowledge that domestic violence is a potent predictor of depression at the level of the individual. This study investigates the impact of PFNDV on mental health using the South African National Income Dynamics Study (SA-NIDS). NIDS Waves 2 and 3 measure the perceived frequency of six neighborhood violence subtypes through the NIDS household respondent questionnaire and depression through a questionnaire administered to all NIDS participants. Linear regression was used to model the relationship between change in depression symptoms and change in violence subtypes between Waves 2 and 3. We found that two-year increase in PFNDV was significantly correlated with increase of depression symptoms over the same time period for women, independently of individual, household and neighborhood level characteristics, including five other types of neighborhood violence. No other type of violence was associated with increased depression in women in the fully adjusted model. Research and policy implications are discussed.

Depressive Symptoms Prior to Pregnancy and Infant Low Birth Weight in South Africa.

Despite improvements in service delivery and patient management, low birth weight among infants has been a persistent challenge in South Africa. The study aimed to explore the relationship between depression before pregnancy and the low birth weight (LBW) of infants in post-apartheid South Africa. This study utilized data from Waves 1 and 2 of the South African National Income Dynamics Study, the main outcome being a dichotomous measure of child LBW (<2500g) drawn from the Wave 2 child questionnaire. Depressive symptoms of non-pregnant women was the main predictor drawn from the Wave 1 adult questionnaire. Depressive symptoms were screened using the 10-item four-point Likert version of the Center for Epidemiologic Studies Depression Scale (CES-D) instrument. A total score of 10 or greater on the CES-D indicates a positive screen for depressive symptoms. An adjusted logistic regression model was used to examine the relationship between women's depression before pregnancy and infant LBW. A sample size of 651 women in Wave 1 was linked to 672 newborns in Wave 2. The results of the adjusted logistic regression model indicated depressive symptoms (CES-D≥10) prior to pregnancy were associated with infant LBW (adjusted OR 2.84, 95% CI 1.08-7.46). Another significant covariate in the model was multiple childbirths. Our finding indicates that women's depressive symptoms prior to pregnancy are associated with the low birth weight of newborns and suggests that this association may not be limited to depression present during the ante-natal phase.

A multilevel analysis of the relationship between neighborhood social disorder and depressive symptoms: evidence from the South African National Income Dynamics Study.

The apartheid regime that governed South Africa from 1948-1994 established spatial segregation that is understood to have contributed to the magnitude of neighborhood social disorder in the postapartheid era. Although a number of neighborhood social disorder characteristics, such as perceived violence and crime in the community, are prominent issues in South Africa, the extent to which these perceived spatial attributes are linked to depression is unknown at the population level. Multilevel modeling of data from the second wave of the South African National Income Dynamics Study (SA-NIDS) was utilized to examine the relationship between depressive symptomatology and neighborhood social disorder as indicated by the perceived frequency of violent, criminal and illicit activities in the community. Depressive symptomatology was assessed using the 10-item version of the Center for Epidemiologic Studies Depression Scale. A cut-off score of 10 or higher was used to indicate the presence of significant depressive symptomatology. Results showed that perception of neighborhood social disorder was independently associated with significant levels of depressive symptomatology. Gender, race or ethnicity, perceived health status, and education were significant for individual-level covariates of depression. Community intervention strategies that reduce the risk of neighborhood disorganization and emphasize positive social norms in the neighborhood are warranted. Taking into account the residential deracialization of a country transitioning from apartheid to nonracial democracy, a longitudinal spatial study design assessing the dynamics between depression and the aforementioned perceptions of neighborhood attributes may also be warranted.

The Impact of Remittance on Poverty: Evidence from the South African National Income Dynamics Study (NIDS)

The study uses two approaches to assess the impact of remittance on poverty in South Africa. The first approach compares the level of poverty between remittance receiving households and non-receiving households using the FGT index. The second approach uses the logit regression model to estimate how remittance determines the probability of falling into a state of poverty. The findings show that remittance non-receiving households have a higher head count ratio compared to remittance receiving households. The probability of remittance non-receiving households being in a state of poverty is also higher than remittance receiving households. Whereas the poverty gap is higher for remittance receiving households compared to remittance non-receiving households, both groups of households have the same poverty severity level.

Recent internal migration and labour market outcomes: Exploring the 2008 and 2010 national income dynamics study (NIDS) panel data in South Africa

We began with the premise that South African recent migrants from rural to urban areas experience relatively lower rates of participation in formal labour markets compared to local residents in urban communities, and that these migrants are overrepresented in the informal labour market and in the unemployment sector. This means that rural to urban migrants are less likely than locals to be found in formal employment and more likely to be found in informal employment and among the unemployed. Using perspectives from Development Economics we explore the South African National Income Dynamics Study (NIDS) panel datasets of 2008 and 2010, which only provide a perspective on what has happened between 2008 and 2010. We find that while migrants in general experience positive outcomes in informal labour markets, they also experience positive outcomes in formal markets, which is contrary to expectations. We also find that there are strong links between other indicators of performance in the labour market. Earned incomes are closely associated with migration decisions and educational qualifications (e.g. a matric certificate) for respondents between the ages of 30 and 60 years. The youth (15 to 30 years old) and senior respondents (over the age of 60) are the most disadvantaged in the labour market. The disadvantage is further reflected in lower earned incomes. This is the case even though the youth are most likely to migrate. We conclude that migration is motivated by both push (to seek employment) and pull (existing networks or marriage at destination) factors. For public policy, the emerging patterns – indicative and established – are important for informing strategies aimed at creating employment and developing skills for the unemployed, migrants and especially the youth. Similar policy strategies are embodied in the National Development Plan (NDP), the National Skills Development Strategy (NSDS), etc.

The Relationship Between Immigration and Depression in South Africa: Evidence from the First South African National Income Dynamics Study

Few studies have examined depression among immigrants in post-apartheid South Africa, and factors that strengthen the relationship between immigration and depression. The first wave of the National Income Dynamics Study was used to investigate links between immigration and depression (n = 15,205). Depression symptoms were assessed using a 10-item version of the Center for Epidemiologic Studies Depression (CES-D) Scale. Immigrants in South Africa had fewer depressive symptoms (CES-D ≥ 10) than locally-born participants (17.1 vs. 32.4%, F = 13.5, p < 0.01). Multilevel mixed-effects logistic regression analyses found that among immigrant populations, younger age (adjusted OR 1.03, 95% CI 1.01-1.05) and black African ethnicity (adjusted OR 3.72, 95% CI 1.29-10.7) were associated with higher depression. Younger age was associated with lower depression among locally-born study participants (adjusted OR 0.98, 95% CI 0.97-0.98). The varying relationship between certain demographic factors, depression and the different mental health challenges among these groups requires closer attention.

Wealth data quality in the National Income Dynamics Study Wave 2

This paper examines the quality of data on household assets, liabilities and net worth in the South African National Income Dynamics Study (NIDS) Wave 2. The NIDS is the first nationally representative survey on household wealth in South Africa. The cross-sectionally weighted data are found to be fit for use in terms of the univariate distributions of net worth, assets and liabilities, but population totals are probably underestimated due to the presence of missing wealth data in Phase 2 of Wave 2 that is not taken into account in the weights. When compared with national accounts estimates of household net worth, there is an apparent inversion of the estimated totals of financial assets versus non-financial assets. Further research is required into why this is so. We find that the NIDS wealth module is a suitable instrument for the analysis of household wealth.

Wealth data quality in the National Income Dynamics Study Wave 2

This paper examines the quality of data on household assets, liabilities and net worth in the South African National Income Dynamics Study (NIDS) Wave 2. The NIDS is the first nationally representative survey on household wealth in South Africa. The cross-sectionally weighted data are found to be fit for use in terms of the univariate distributions of net worth, assets and liabilities, but population totals are probably underestimated due to the presence of missing wealth data in Phase 2 of Wave 2 that is not taken into account in the weights. When compared with national accounts estimates of household net worth, there is an apparent inversion of the estimated totals of financial assets versus non-financial assets. Further research is required into why this is so. We find that the NIDS wealth module is a suitable instrument for the analysis of household wealth.

Finding the Benefits: Estimating the Impact of The South African Child Support Grant

AbstractThis paper estimates the impact of the South African Child Support Grant (CSG) on child health, nutrition and education. Data from the 2008 South African National Income Dynamics Study are used to estimate the impact of the CSG on six different outcomes measuring child well‐being. We find a positive treatment effect of the CSG on children's height‐for‐age, progress through the school system, as well as household expenditure on food items using a continuous treatment estimator developed by Hirano and Imbens. Robustness analysis using the inverse probability weighting approach by Flores and Mitnik is also implemented. Although these estimates provide some evidence of a positive impact resulting from the CSG, they are not conclusive in showing that the cash transfers are spent mainly on improving the lives of beneficiary children, as the treatment effects are quite small.

Depression, disability and functional status among community‐dwelling older adults in South Africa: evidence from the first South African National Income Dynamics Study

This study examined the relationship between depression and functional status among a community-dwelling older population of 65 years and older in South Africa. Data from the first wave of the South African National Income Dynamics Study were used, this being the first longitudinal panel survey of a nationally representative sample of households. The study focused on the data for resident adults 65 years and older (n = 1,429). Depression was assessed using the 10-item version of the Center for Epidemiologic Studies Depression Scale. Functional status, pertaining to both difficulty and dependence in activities of daily living (ADL), instrumental activities of daily living (IADL), and physical functioning and mobility (PFM), were assessed using 11 items. Functional challenges were generally higher in the older age group. There was a significant association between depression and functional dependence in ADL (adjusted OR = 2.57 [CI: 1.03-6.41]), IADL (adjusted OR = 2.76 [CI: 1.89-4.04]), and PFM (adjusted OR = 1.66 [CI: 1.18-2.33]), but the relationship between depression and functional status, particularly PFM, appeared weaker in older age. The relationship between depression symptoms and function is complex. Functional characteristics between older and younger old populations are diverse, and caution is indicated against overgeneralizing the challenges related to depression and function among this target population.

A multilevel analysis of association between neighborhood social capital and depression: Evidence from the first South African National Income Dynamics Study

As neuropsychiatric disorders account for a great proportion of the total burden of disease in sub-Saharan Africa, depression is rapidly emerging as a public health issue in South Africa. Given the divisions enforced by a legacy of the apartheid spatial and economic policies, features of communities such as neighborhood-level social capital may play a critical role in depression. However, the extent to which neighborhood-level social capital is associated with depression in South Africa at the population-level is unknown. Data from the first wave of the South African National Income Dynamics Study (SA-NIDS) was used to examine the association between the neighborhood-level social capital and individual depression using multilevel regression models. There was a negative association between neighborhood-level social capital and depression score with social trust and neighborhood preference accounting for this association. Structural social capital, namely civic participation, was not related to depression. Individual predictors, including social class, self-rated health status and education, were strong covariates of depression. The cross-sectional design of the study limits our understanding of the temporal order of social capital and depression. In post-apartheid South Africa, low social capital remains an important social determinant of health, including depression outcome. This is in addition to individual determinants related to class such as unemployment, education and social class which play an important role in influencing depression. Further research utilizing a longitudinal study design is warranted to examine the association between social capital and depression in South Africa.

Introduction to the Special Edition on the South African National Income Dynamics Study

South Africa is a society undergoing rapid economic, political and social transformation and policy makers have recognized the need to study emerging patterns of socio-economic mobility, how South Africans have coped with these various changes and how they have been helped by new policies. Most developed countries and a growing number of developing countries use national panel surveys to try to answer these questions. In 2005 the Presidency embarked on the process of conceptualizing and commissioning South Africa's first national panel survey, the National Income Dynamics Study (NIDS). In early 2006, the Presidency announced a tender to set up and run the first wave of NIDS. The Southern Africa Labour and Development Research Unit (SALDRU) responded to this tender on behalf of the University of Cape Town and was delighted to be successful.

The South African National Income Dynamics Study: Design and Methodological Issues

The National Income Dynamics Study (NIDS) is a nationally representative panel survey of 28 255 individuals that were resident in 7 305 households in South Africa at the time of the base wave in 2008. Attempts will be made to interview each of these individuals and all of their current household members at two-year intervals in the future. NIDS is the first national panel study of individuals of all ages in South Africa. As the panel unfolds, it will reveal the dynamic structure of households in South Africa and changes in the living conditions and well-being of household members. This article presents the core methodological decisions in the design of the first wave of the NIDS panel survey. It describes the data production process, the sampling methodology, the response rates, the derivation of weights, data processing issues and how researchers can download the data. The article concludes with a discussion of some key panel issues for NIDS going forward.