{"doc_desc":{"title":"National Income Dynamics Study 2010-2011, Wave 2","idno":"DDI_ZAF_2014_NIDS-W4_v01_M","producers":[{"name":"Southern Africa Labour and Development Research Unit","abbreviation":"SALDRU","affiliation":"University of Cape Town","role":"Data documentation"},{"name":"DataFirst","abbreviation":"DataFirst","affiliation":"University of Cape Town","role":"Metadata creation"}],"prod_date":"2016-05-15","version_statement":{"version":"Version1.1 (May 2016) \nThis version is identical to DataFirst Version 1, except that the DDI and ID fields were edited to World Bank IDs.The series information was extracted from the abstract."}},"study_desc":{"title_statement":{"idno":"ZAF_2014_NIDS-W4_v01_M","title":"National Income Dynamics Study 2014-2015","sub_title":"Wave 4","alt_title":"NIDS 2014-2015"},"authoring_entity":[{"name":"Southern Africa Labour and Development Research Unit","affiliation":"University of Cape Town"}],"production_statement":{"producers":[{"name":"Department of Planning, Monitoring and Evaluation","affiliation":"Government of South Africa","role":"Commissioners of Wave 4 "}],"copyright":"Copyright 2013, National Income Dynamics Study","funding_agencies":[{"name":"Department of Planning, Monitoring and Evaluation","abbreviation":"DPME","role":"Funder"}]},"distribution_statement":{"contact":[{"name":"DataFirst Helpdesk","affiliation":"University of Cape Town","email":"support@data1st.org","uri":"http:\/\/support.data1st.org"}]},"series_statement":{"series_name":"Income\/Expenditure\/Household Survey [hh\/ies]","series_info":"This is wave 4 of the panel survey. Wave 1  was conducted in 2008, wave 2 in 2010-2011 and wave 3 in 2012.  Wave 1 collected the detailed information for the national sample. Waves 2 to 4 of the panel survey re-interviewed respondents interviewed in previous waves, gathering information on developments in their lives over the years."},"version_statement":{"version":"v1: Edited, anonymised dataset for public distribution.","version_date":"2016-05-12","version_notes":"Version 1 of the National Income Dynamics Study wave 4 2014-2015 public release dataset was produced on the 12th of May 2016"},"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:\nWealth creation in terms of income and expenditure dynamics and asset endowments;\nDemographic dynamics as these relate to household composition and migration; \nSocial 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":"2014-09","end":"2015-08","cycle":"Wave 4"}],"nation":[{"name":"South Africa","abbreviation":"ZAF"}],"geog_coverage":"The survey had national coverage","geog_unit":"The lowest level of geographic aggregration covered by the dataset is District Municipality.","analysis_unit":"The units of analysis in the survey are individuals and households.","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:\n\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"},"method":{"data_collection":{"coll_mode":"Face-to-face [f2f]","act_min":"National Income Dynamics Study (NIDS) supervisory staff"}},"data_access":{"dataset_availability":{"access_place":"DataFirst (University of Cape Town)","access_place_uri":"https:\/\/www.datafirst.uct.ac.za\/dataportal\/index.php\/catalog\/570","original_archive":"DataFirst (University of Cape Town)\nhttps:\/\/www.datafirst.uct.ac.za\/dataportal\/index.php\/catalog\/570\nCost: None"},"dataset_use":{"conf_dec":[{"txt":"Registering to use the NIDS data includes agreement that the data user will not attempt to identify specific individuals from the data.","required":"yes","form_no":"","uri":""}],"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 2014 - 2015, Wave 4 [dataset]. Version 1.0. Pretoria: Department of Planning, Monitoring, and Evaluation [commissioner]. Cape Town: Southern Africa Labour and Development Research Unit [producer], 2016. Cape Town: DataFirst [distributor], 2016.","conditions":"Public use data, available to all","disclaimer":"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."}}},"schematype":"survey","tags":[{"tag":"noDOI"}]}