ZAF_2020_NIDS-CRAM-W3_v01_M
National Income Dynamics Study - Coronavirus Rapid Mobile Survey 2020
Wave 3
Name | Country code |
---|---|
South Africa | ZAF |
Other Household Survey [hh/oth]
National Income Dynamics Study - Coronavirus Rapid Mobile Survey (NIDS-CRAM) 2020, Wave 3 [dataset]. Version 3.0.0. Cape Town: Allan Gray Orbis Foundation [funding agency]. Cape Town: Southern Africa Labour and Development Research Unit [implementer], 2021. Cape Town: DataFirst [distributor], 2021. DOI: https://doi.org/10.25828/s82x-nx07
The National Income Dynamics Study - Coronavirus Rapid Mobile Survey 2020 investigates the socioeconomic impacts of the national lockdown associated with the State of Disaster declared in South Africa in March 2020, and the social and economic consequences in South Africa of the global Coronavirus pandemic. NIDS-CRAM forms part of a broader study called the Coronavirus Rapid Mobile Survey (CRAM) which aims to inform policy using rapid reliable research on income, employment and welfare in South Africa, in the context of the global Coronavirus pandemic. The study is run by researchers from the University of Stellenbosch, University of Cape Town (UCT) and University of the Witwatersrand (Wits). The NIDS-CRAM survey data collection and production operations were implemented by the Southern Africa Labour and Development Research Unit (SALDRU) at UCT. The data is collected with Computer Assisted Telephone Interviewing (CATI), with data collection repeated over several months.
Sample survey data [ssd]
Households and individuals
v3.0.0.: Edited, anonymised data for public distribution
2021-06-30
The following changes were made in NIDS-CRAM Wave 3 version 2.0.0.
NIDS-CRAM_Wave3_Anon_V2.0.0
Some cases were corrected in variable w3_nc_ems_oct (and some variables thereafter in Section C of the questionnaire) from "2. No - I'm employed" to "No, I did nothing" because of a Zulu translation error. Because of the skip patterns subsequent questions in the skip sequence needed to be changed to "-3. Missing" or system missing, where appropriate.
5 non-response respondents had data filled in for the first few questions in error. All variables excluding those from Section A of the questionnaire therefore were corrected by having the responses set to system missing.
derived_NIDS-CRAM_Wave3_Anon_V2.0.0
To correct a Zulu translation error, 20 observations in variable w3_nc_empl_stat were changed from “3. Employed” to -8. Refused
Three new weight variables (w3_nc_pweight_s and w3_nc_pweight_extu_s w3_nc_bp_pweight_s) were added because the weights were scaled to the NIDS W5 population totals and the weights algorithms were updated.
Changes made from version 2.0.0. to version 3.0.0. of the Wave 3 data were minor data cleaning and data quality error corrections to all the variables.
The NIDS-CRAM Survey collects data on the following for households and household members:
National coverage, as NIDS was only designed to be nationally representative, it is inadvisable to use the NIDS-CRAM data to calculate provincial or regional totals.
The NIDS-CRAM data is at the country level only.
The universe of the study is South Africans 18 years old or older.
Name |
---|
Nic Spaull, Ronelle Burger, Rulof Burger, David Carel, Reza Daniels, Nwabisa Makaluza, Dorrit Posel, Vimal Ranchhod, Servaas van der Berg, Gabrielle Wills |
Name | Role |
---|---|
Allan and Gill Gray Philanthropy | Funder of Waves 1-3 |
FEM Education Foundation | Funder of Waves 4-5 |
Michael & Susan Dell Foundation | Funder of Waves 4-5 |
The sample frame for NIDS-CRAM is the NIDS Wave 5 CSMs and TSMs who were 18 years or older at the time of the NIDS-CRAM Wave 1 fieldwork preparation in April 2020. The sample was drawn using a stratified sampling design. No attempt was made to check whether successfully re-interviewed individuals resided in the same households as they did in Wave 5. In the survey, individuals from larger households were more likely to be sampled than individuals from smaller households.
The weighted NIDS-CRAM survey data reflects the outcomes in 2020 for a broadly representative sample of South Africans 15 years and older from NIDS Wave 5 in 2017 who were followed up 3 years later.
Though NIDS-CRAM is a follow-up with NIDS Wave 5 respondents, the NIDS-CRAM survey uses a much shorter questionnaire, with a focus on the Coronavirus pandemic and the national lockdown. The questionnaire was changed slightly across waves and data users should check the questionnaires for each wave when using the data.
Start | End | Cycle |
---|---|---|
2020-05-07 | 2020-06-27 | Wave 1 |
2020-07-13 | 2020-08-13 | Wave 2 |
2020-11-02 | 2020-12-13 | Wave 3 |
Ethics approval for the NIDS-CRAM Survey was granted by the Commerce Faculty Ethics Committee of the University of Cape Town and the Research Ethics Committee: Social, Behavioral and Education Research, of the University of Stellenbosch.
The NIDS-CRAM survey data collection and production operations were implemented by the Southern Africa Labour and Development Research Unit (SALDRU) based at the University of Cape Town. CATI interviews were conducted in the preferred official South African language of respondents.
Name | Affiliation | URL | |
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DataFirst | University of Cape Town | support.data1st.org | support@data1st.org |
Public use files, available to all
National Income Dynamics Study - Coronavirus Rapid Mobile Survey (NIDS-CRAM) 2020, Wave 3 [dataset]. Version 3.0.0. Cape Town: Allan Gray Orbis Foundation [funding agency]. Cape Town: Southern Africa Labour and Development Research Unit [implementer], 2021. Cape Town: DataFirst [distributor], 2021. DOI: https://doi.org/10.25828/s82x-nx07
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Name | Affiliation | |
---|---|---|
DataFirst Support | University of Cape Town | support@data1st.org |
DDI_ZAF_2020_NIDS-CRAM-W3_v01_M
Name | Affiliation | Role |
---|---|---|
DataFirst | University of Cape Town | Metadata producer |
Development Economics Data Group | The World Bank | Metadata adapted for Microdata Library |
2021-07-01
Version 01: This metadata was downloaded from DataFirst microdata repository website. The following two metadata information have been edited – Document and Survey ID.