{"doc_desc":{"title":"zaf-saldru-nidssd-2017-v1.0.0","producers":[{"name":"DataFirst","abbr":"DataFirst","affiliation":"University of Cape Town","role":"Metadata creation"}],"prod_date":"2026-02-19","version_statement":{"version":"Version 2"}},"study_desc":{"title_statement":{"idno":"zaf-saldru-nidssd-2017-v1.0.0","title":"National Income Dynamics Study Secure Data 2017","sub_title":"Wave 5","alternate_title":"NIDS 2017"},"authoring_entity":[{"name":"Southern Africa Labour and Development Research Unit","affiliation":"University of Cape Town"},{"name":"","affiliation":""}],"production_statement":{"producers":[{"name":"Department of Planning, Monitoring and Evaluation","abbr":"DPME","affiliation":"Government of South Africa","role":"Commissioners of Wave 4 "}],"funding_agencies":[{"name":"Department of Planning, Monitoring and Evaluation","abbr":"Presidency, Government of South Africa","role":"Funding agency"}]},"distribution_statement":{"contact":[{"name":"DataFirst Helpdesk","affiliation":"University of Cape Town","email":"support@data1st.org","uri":"http:\/\/support.data1st.org"}]},"series_statement":{"series_name":"Household Survey"},"version_statement":{"version":"v1.0.0: Edited, partially-anonymised dataset for use in DataFirst's Secure Data Centre.","version_date":"2018-08-13"},"study_info":{"keywords":[{"keyword":"Agriculture","vocab":"","uri":""},{"keyword":"Shocks","vocab":"","uri":""},{"keyword":"Demography","vocab":"","uri":""},{"keyword":"Intra-household allocation","vocab":"","uri":""},{"keyword":"Health","vocab":"","uri":""},{"keyword":"Education","vocab":"","uri":""},{"keyword":"Migration","vocab":"","uri":""},{"keyword":"Remittances","vocab":"","uri":""},{"keyword":"Integration","vocab":"","uri":""},{"keyword":"Credit","vocab":"","uri":""},{"keyword":"Assets","vocab":"","uri":""},{"keyword":"Social networks","vocab":"","uri":""},{"keyword":"Social cohesion","vocab":"","uri":""}],"abstract":"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;  \nAccess to cash transfers and social services.","coll_dates":[{"start":"2017","end":"2017","cycle":"Wave 5"}],"nation":[{"name":"South Africa","abbreviation":"zaf"}],"geog_coverage":"The survey had national coverage","geog_unit":"The secure data has household gps coordinates","analysis_unit":"Households and individuals","universe":"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.","data_kind":"Sample survey data [ssd]","notes":"Data on the following topics was collected during the panel survey:\nHOUSEHOLD: Household characteristics, household roster, mortality history, living standards, expenditure, consumption, negative events, positive events, agriculture\nADULTS: Demographics, education, labour market participation, income, health, well-being, numeracy, anthropometric data\nCHILDREN: Education, health, family support, grants, anthropometric data, numeracy\nThe Secure (Restricted access) data files contain confidential variables that are not released in the publicly available data. The secure variables include the primary sampling unit (PSU), date of birth day, and full geo-codes. Employment codes are provided up to the four digit level, and a code-list for these is available with the data. A complete list of variables available in the restricted-access data is provided with the data."},"method":{"data_collection":{"coll_mode":["Face-to-face [f2f]"],"sources":[{"name":"","origin":"","characteristics":""}],"act_min":"In the interviews for the survey paper consent forms are issued in all languages and the informed consent process is conducted in the respondent's language of choice. For each questionnaire, two sets of consent forms are signed. One signed copy remains with respondent and the other is returned to the NIDS office. These forms carry unique bar-coded numbers that are entered into the CAPI system. Similarly, the household and person level IDs are displayed on the CAPI system and written onto the consent forms so that cross-referencing is possible.  Data coming in from the field are accepted as valid only if NIDS has a signed consent form for each interview that produced the data. If signed consent forms are not located, the associated interviews are deleted from the dataset. \n\nWave 5\nA youth care consent form is signed for young adults (15-17 years old) by the young adult's caregiver. In Wave 5, in addition to this, assent forms were signed by the young adults themselves. \nAnthropometric assent forms were also required for children 7 to 10 years old. These assent forms were completed based on the child indicating their willingness to be measured as part of the anthropometric module. During Wave 5 proxy respondents were also contacted directly to get their verbal consent for the interview to be conducted on their behalf, in addition to the person responding for them signing consent."}},"data_access":{"dataset_use":{"contact":[{"name":"DataFirst","affiliation":"University of Cape Town","email":"support@data1st.org","uri":"http:\/\/support.data1.st.org"}],"cit_req":"Southern Africa Labour and Development Research Unit. National Income Dynamics Study Secure Data 2017, Wave 5 [dataset]. Version 1.0.0 Pretoria: Department of Planning, Monitoring, and Evaluation [funding agency]. Cape Town: Southern Africa Labour and Development Research Unit [implementer], 2018. Cape Town: DataFirst [distributor], 2018. DOI: https:\/\/doi.org\/10.25828\/v7qp-qk09","conditions":"Secure Research Data Centre access https:\/\/www.datafirst.uct.ac.za\/services\/secure-data-services"}}},"schematype":"survey"}