{"doc_desc":{"idno":"DDI_TCD_2020_HFPS_v03_M","producers":[{"name":"Development Economics Data Group","abbreviation":"DECDG","affiliation":"The World Bank","role":"Documentation of the DDI"}],"prod_date":"2022-05-24","version_statement":{"version":"Version 03 (May 2022). This is an update to Chad COVID-19 High Frequency Phone Survey with the round 4 data and documents."}},"study_desc":{"title_statement":{"idno":"TCD_2020_HFPS_v03_M","title":"COVID-19 High Frequency Phone Survey 2020","alt_title":"Chad HFPS 2020","translated_title":"Enqu\u00eate sur l\u2019Impact de Covid-19 sur les Conditions de Vies des M\u00e9nages au Tchad"},"authoring_entity":[{"name":"Institut National de la Statistique, des Etudes Economiques et D\u00e9mographiques (INSEED)","affiliation":"Gouvernement du Tchad"}],"production_statement":{"producers":[{"name":"The World Bank","affiliation":"The World Bank","role":"Collaborated in design, implementation and analysis"}],"funding_agencies":[{"name":"The World Bank","abbreviation":"WB","role":"Funded the survey and analysis"}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]","series_info":"The World Bank is providing support to countries to help mitigate the spread and impact of the new corona-virus disease (COVID-19). One area of support is for data collection to inform evidence-based policies that may help mitigate the effects of this disease. Towards this end, the World Bank is leveraging the Chad Statistical Development (P159434) to produce high frequency longitudinal data in Chad."},"version_statement":{"version":"Version 03: Edited, anonymized dataset for public distribution","version_notes":"Round 4 data has been added to the documentation."},"study_info":{"abstract":"In Chad, COVID-19 is expected to affect households in many ways. First, governments might reduce social transfers to households due to the decline in revenue arising from the potential COVID-19 economic recession. Second households deriving income from vulnerable sectors such as tourism and related activities will likely face risk of unemployment or loss of income. Third an increase in prices of imported goods can also negatively impact household welfare, as a direct consequence of the increase of these imported items or as indirect increase of prices of local good manufactured using imported inputs. In this context, there is a need to produce high frequency data to help policy makers in monitoring the channels by which the pandemic affects households and assessing its distributional impact. To do so, the sample of the longitudinal survey will be a sub-sample of the 2018\/19 Enqu\u00eate sur la Consommation des M\u00e9nages et le Secteur Informel au Tchad (Ecosit 4) in Chad.\n\nThis has the advantage of conducting cost effectively welfare analysis without collecting new consumption data. The 30 minutes questionnaires covered many modules, including knowledge, behavior, access to services, food security, employment, safety nets, shocks, coping, etc. Data collection is planned for four months (four rounds) and the questionnaire is designed with core modules and rotating modules.\n\nThe main objectives of the survey are to:\n\u2022 Identify type of households directly or indirectly affected by the pandemic;\n\u2022 Identify the main channels by which the pandemic affects households;\n\u2022 Provide relevant data on income and socioeconomic indicators to assess the welfare impact of the pandemic.","coll_dates":[{"start":"2020-05-27","end":"2020-06-15","cycle":"Round 1"},{"start":"2020-07-22","end":"2020-08-30","cycle":"Round 2"},{"start":"2021-01-01","end":"2021-02-27","cycle":"Round 3"},{"start":"2021-03-12","end":"2021-04-14","cycle":"Round 4"}],"nation":[{"name":"Chad","abbreviation":"TCD"}],"geog_coverage":"National coverage, including Ndjamena (Capital city), other urban and rural","analysis_unit":"- Households\n- Individuals","universe":"The survey covered only households of the 2018\/19 Enqu\u00eate sur la Consommation des M\u00e9nages et le Secteur Informel au Tchad (ECOSIT 4) which excluded populations in prisons, hospitals, military barracks, and school dormitories.","data_kind":"Sample survey data [ssd]","notes":"The Chad - COVID-19 High Frequency Phone Survey of Households covers various topics on rotational basis.\n- Household Roster\n- Knowledge of COVID-19\n- Behavior and Social Distancing \n- Employment and Income\n- Access to Basic Services \n- Income Loss\n- Subjective poverty\n- Prices and Food Security \n- Shocks\/Coping\n- Impacts of COVID-19\n- Social Safety Nets and Assistance \n- Perception\n- Impacts of COVID-19\n- Fragility and Security\n- Vaccine\n- Gender based Violence"},"method":{"data_collection":{"data_collectors":[{"name":"Institut National de la Statistique, des Etudes Economiques et D\u00e9mographiques","abbreviation":"INSEED","affiliation":"Gouvernement du Tchad"}],"sampling_procedure":"The Chad COVID-19 impact monitoring survey is a high frequency Computer Assisted Telephone Interview (CATI). The survey\u2019s sample was drawn from the Enqu\u00eate sur la Consommation des M\u00e9nages et le Secteur Informel au Tchad (Ecosit 4) which was conducted in 2018-2019. ECOSIT 4 is a survey with a sample size of 7,493 household\u2019s representative at national, regional and by urban\/rural. During the survey, each household was asked to provide a phone number of at least one member or a non-household member (e.g. friends or neighbors) so that they can be contacted for follow-up questions. The sampling of the high frequency survey aimed at having representative estimates by national and area of residence: Ndjamena (capital city), other urban and rural area. The minimum sample size was 2,000 for which 1,748 households (87.5%) were successfully interviewed at the national level. To account for non-response and attrition and given that this survey was the first experience of INSEED, 2,833households were initially selected, among them 1,832 households have been reached. The 1,748 households represent the final sample and will be contacted for the next three rounds of the survey.","sampling_deviation":"None","coll_mode":["Computer Assisted Personal Interview [capi]"],"research_instrument":"The questionnaire is in French and has been administrated in French and local languages. The length of an interview varies between 20 and 30 minutes. The questionnaires consisted of the following sections:\n1- Household Roster\n2- Knowledge of COVID-19\n3- Behavior and Social Distancing\n4- Access to Basic Services\n5- Employment and Income\n6- Prices and Food Security\n7- Other Impacts of COVID-19\n8- Income Loss\n9- Coping\/Shocks\n10- Social Safety Nets\n11- Fragility\n12. Gender based Violence (for the fourth wave)\n13. Vaccine (for the fourth wave)","coll_situation":"Technic of data collection: The Chad- COVID-19 High Frequency Phone Survey of Households was conducted using Computer Assisted Telephone Interview (CATI) techniques.\n\nResource: The survey team was composed of 22 enumerators and 3 supervisors. Each enumerator was given a tablet and mobile phone to be used for the interviews. Given that the INSEED did not have a call center, enumerators conducted the call from their home to allow for social distancing rules under covid-19. Supplies such as soaps, handwashing gels, and mask were provided to all the 22 interviewers. The three supervisors called the enumerators at least 2 times per day to check the progress on the data collection and to provide any update on the survey. They also checked the data quality from the server while the data collection was ongoing. At the end of the data collection, phone credits have been transferred to households for which the interviewees have been completed. The first round of the survey fieldwork was done in May-June 2020.","weight":"The weight already available in the 2018\/19 Enqu\u00eate sur la Consommation des M\u00e9nages et le Secteur Informel au Tchad (ECOSIT 4) were adjusted to take into account population growth, new household composition and response rates.","cleaning_operations":"At the end of data collection, the raw dataset was cleaned by the INSEED with the support of the WB team. This included formatting, and correcting results based on monitoring issues, enumerator feedback and survey changes."},"analysis_info":{"response_rate":"The minimum sample expected is 2,000 households covering Ndjamena, other urban and rural areas. Overall, the survey has been completed for 1,748 households that is about 87.5 % of the expected minimal sample size at the national level. This provide reliable estimates at national and area of residence level."}},"data_access":{"dataset_use":{"cit_req":"Use of the dateset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download\n\nWorld Bank. Chad - COVID-19 High Frequency Phone Survey of Households, 2020. Dateset downloaded from www.microdata.worldbank.org on [date].","conditions":"Before being granted access to the dataset, all users have to formally agree:\n1. To make no copies of any files or portions of files to which s\/he is granted access except those authorized by the data depositor.\n2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files.\n3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her\/his analysis will be immediately brought to the attention of the data depositor.","disclaimer":"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."}}},"schematype":"survey","tags":[{"tag":"DOI"}]}