ZAF_2008-2011_NIDS_v01_EN_M_v01_A_OCS
National Income Dynamics Study 2008-2011
Name | Country code |
---|---|
South Africa | ZAF |
Income/Expenditure/Household Survey [hh/ies]
This is the first and second wave of the National Income Dynamics Study in South Africa. Wave 1 of the survey was conducted in 2008, collected the detailed information for the national sample. Wave 2 of NIDS re-interviewed respondents interviewed in Wave 1, gathering information on developments in their lives since they were interviewed in 2008.
The National Income Dynamics Study (NIDS) is a face-to-face longitudinal survey of individuals living in South Africa as well as their households. The survey was designed to give effect to the dimensions of the well-being of South Africans, to be tracked over time. At the broadest level, these were:
· Wealth creation in terms of income and expenditure dynamics and asset endowments
· Demographic dynamics as these relate to household composition and migration
· Social heritage, including education and employment dynamics, the impact of life events (including positive and negative shocks), social capital and intergenerational developments
· Access to cash transfers and social services
This administrative dataset is for schools attended by NIDS respondents. The dataset was created by matching the names of schools with Department of Education (DoE) registered lists of schools in South Africa. A detailed description of the matching process is provided in the user manual, which includes a description of the inherent limitations associated with conducting such an exercise. As such, the comparison of Wave 1 and Wave 2 information provides a detailed picture of how South Africans have fared over two years of very difficult socio-economic circumstances.
Sample survey data [ssd]
Households
The data is on the schools attended by NIDS respondents. This covers the Province in which the school is situated, the education phase of the school (primary, secondary, combined), the learner-teacher ratio in the school, whether the school is a fee-paying school, and under which authority the school was originally located (DET, WCED). Data was later used as a panel with following topics:
HOUSEHOLD:
ADULTS:
CHILDREN:
Topic | Vocabulary |
---|---|
Agriculture & Rural Development | FAO |
Financial Sector | FAO |
Access to Finance | FAO |
Social Development | FAO |
Children & Youth | FAO |
Health | FAO |
National
The target population for NIDS was private households in all nine provinces of South Africa, and residents in workers' hostels, convents and monasteries. The frame excludes other collective living quarters, such as student hostels, old age homes, hospitals, prisons and military barracks.
Name | Affiliation |
---|---|
Southern Africa Labour and Development Research Unit | University of Cape Town |
Name | Affiliation | Role |
---|---|---|
Southern Africa Labour and Development Research Unit | The Unicersity of Cape Town | Technical assistance |
Name | Role |
---|---|
Department of Planning, Monitoring and Evaluation | Financial assistance |
A stratified, two-stage cluster sample design was employed in sampling the Dwelling units to be included in the base wave. In the first stage, a sample of 400 Primary Sampling Units (psus)2 was drawn (by statisticians at Stats SA) from Stats SA's 2003 Master Sample of 3000 psus. At the time that the 2003 Master Sample was compiled, eight non-overlapping samples of ten or twelve dwelling Units were systematically drawn within each PSU. Each of these samples is termed A “cluster” by Stats SA. These clusters were then allocated to the various household Surveys that were conducted by Stats SA between 2004 and 2007 (such as the Labour Force Surveys, General Household Surveys and the 2005/06 Income and Expenditure Survey). However, two clusters in each PSU were never used by Stats SA and these were allocated to NIDS.
In the first stage, a sample of 400 PSUs had to be drawn from the 3000 PSUs in the Master Sample. The explicit strata in the Master Sample are the 53 district councils (DCs). The sample was proportionally allocated to these 53 strata and PSUs were selected within strata with probability proportional to size. It should be noted that the sample was not designed to be representative at provincial level, implying that analysis of the results at the province level is not recommended.
Over the combined field work periods NIDS fieldworkers knocked on 10,642 household doors. Of these households, 7305 agreed to participate and the interview was completed. This equates to a 69% response rate. The total sample for NIDS consists of 409 PSUs. Of those, 9 were replaced in phase 2 because the whole PSU was inaccessible in phase 1. They are therefore excluded from the rest of the calculations.
Two sets of calculations were necessary in deriving the design weights. First there is a calculation of the probability of sampling each PSU and, second, there is a calculation about the probability of including each specific household in each PSU in the NIDS sample. The latter corrects for household nonresponse.
Start | End | Cycle |
---|---|---|
2008-03 | 2008-09 | Wave 1 |
2010-02 | 2010-05 | Wave 2 |
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
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yes | https://microdata.worldbank.org/index.php/terms-of-use |
Southern Africa Labour and Development Research Unit. 2012. National Income Dynamics Study Waves 1&2, 2008-2011: Administrative Dataset [dataset]. Version 1. Cape Town: Southern Africa Labour and Development Research Unit [producer], 2012. Cape Town: DataFirst [distributor], 2012.
The original collector of the data (The National Income Dynamics Study), the distributor (DataFirst), and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Name | Affiliation | URL | |
---|---|---|---|
DataFirst Helpdesk | University of Cape Town | [email protected] | http://support.data1st.org/ |
NIDS Project | University of Cape Town | [email protected] |
DDI_ZAF_2008-2011_NIDS_v01_EN_M_v01_A_OCS_FAO
Name | Affiliation | Role |
---|---|---|
Office of Chief Statistician | Food and Agriculture Organization | Adoption of metadata for FAM |
DataFirst | University of Cape Town | Metadata creation |
ZAF_2008-2011_NIDS_v01_EN_M_v01_A_OCS_v01