{"doc_desc":{"idno":"DDI_VNM_2021_HFPS-R4_v01_M_WB","producers":[{"name":"Development Data Group","abbreviation":"DECDG","affiliation":"World Bank","role":"Documentation of the Study"}],"prod_date":"2021-09-22","version_statement":{"version":"Version 01"}},"study_desc":{"title_statement":{"idno":"VNM_2021_HFPS-R4_v01_M","title":"COVID-19 High Frequency Phone Survey of Households 2021, Round 4","alt_title":"HFPS-R4 2021","identifiers":[{"type":"DOI","identifier":"https:\/\/doi.org\/10.48529\/bxcr-0z92"}]},"authoring_entity":[{"name":"World Bank","affiliation":""}],"production_statement":{"producers":[{"name":"Mekong Development Research Institute","affiliation":"","role":"Survey collection firm"}],"funding_agencies":[{"name":"World Bank","abbreviation":"WB","role":"Partially funded the activity"},{"name":"Department of Foreign Affairs and Trade of Australia","abbreviation":"DFAT","role":"Partially funded the activity"}]},"distribution_statement":{"depositor":[{"name":"EFI-EAP-POV-Poverty and Equity","abbreviation":"EEAPV","affiliation":"World Bank"}]},"series_statement":{"series_name":"Socio-Economic\/Monitoring Survey [hh\/sems]","series_info":"The main objective of this project is to collect household data for the ongoing assessment and monitoring of the socio-economic impacts of COVID-19 on households and family businesses in Vietnam. The estimated field work and sample size of households in each round is as follows:\n\nRound 1 June\/July 2020  fieldwork- approximately 6300 households (at least 1300 minority households)\nRound 2 July\/Aug 2020 fieldwork - approximately 4000 households  (at least 1000 minority households)\nRound 3 September 2020 - approximately 4000 households (at least 1000 minority households)\nRound 4 January 2021- approximately 4000 households (at least 1000 minority households)\nRound 5 March 2021 - - approximately 4000 households (at least 1000 minority households)"},"version_statement":{"version":"Anonymized dataset for public distribution.","version_date":"2021-09-29"},"study_info":{"time_periods":[{"start":"2021-01-02","end":"2021-01-15","cycle":""}],"coll_dates":[{"start":"2021-01-02","end":"2021-01-15","cycle":""}],"nation":[{"name":"Viet Nam","abbreviation":"VNM"}],"geog_coverage":"National, regional","analysis_unit":"Households","data_kind":"Sample survey data [ssd]"},"method":{"data_collection":{"data_collectors":[{"name":"Mekong Development Research Institute","abbreviation":"MDRI","affiliation":""}],"sampling_procedure":"The 2020\/21 Vietnam COVID-19 High Frequency Phone Survey of Households (VHFPS) uses a nationally representative household survey from 2018 as the sampling frame. The 2018 baseline survey includes 46,980 households from 3132 communes (about 25% of total communes in Vietnam). In each commune, one EA is randomly selected and then 15 households are randomly selected in each EA for interview.  We use the large module of to select the households for official interview of the VHFPS survey and the small module households as reserve for replacement.  \n\nAfter data processing, the final sample size for Round 4 is 3,945 households.","coll_mode":"Computer Assisted Telephone Interview [cati]","research_instrument":"The questionnaire for this round consisted of the following sections\n\nSection 2. Behavior\nSection 5. Employment (main respondent)\nSection 6. Coping\nSection 7. Safety Nets\nSection 8. FIES\nSection 10. Opinion\nSection 11. Vaccine\n\nNote: Some categorical responses have been merged in the anonymized data set for confidentiality.","act_min":"World Bank","weight":"The main steps for weight adjustment to ensure national and regional representativeness are:\n(1) Start with base weights from 2018 survey\n(2) HH selection and non-response adjustment using propensity score and probability of selection correction.\n(3) Post-stratification: Rescale weights to match national, region, urban\/rural populations based on the 2019 population census.\n(4) Trim weights","cleaning_operations":"Data cleaning began during the data collection process. Inputs for the cleaning process include available interviewers\u2019 note following each question item, interviewers\u2019 note at the end of the tablet form as well as supervisors\u2019 note during monitoring. The data cleaning process was conducted in following steps:\n\u2022 Append households interviewed in ethnic minority languages with the main dataset interviewed in Vietnamese.\n\u2022 Remove unnecessary variables which were automatically calculated by SurveyCTO\n\u2022 Remove household duplicates in the dataset where the same form is submitted more than once.\n\u2022 Remove observations of households which were not supposed to be interviewed following the identified replacement procedure.\n\u2022 Format variables as their object type (string, integer, decimal, etc.)\n\u2022 Read through interviewers\u2019 note and make adjustment accordingly. During interviews, whenever interviewers find it difficult to choose a correct code, they are recommended to choose the most appropriate one and write down respondents\u2019 answer in detail so that the survey management team will justify and make a decision which code is best suitable for such answer.\n\u2022 Correct data based on supervisors\u2019 note where enumerators entered wrong code.\n\u2022 Recode answer option \u201cOther, please specify\u201d. This option is usually followed by a blank line allowing enumerators to type or write texts to specify the answer. The data cleaning team checked thoroughly this type of answers to decide whether each answer needed recoding into one of the available categories or just keep the answer originally recorded. In some cases, that answer could be assigned a completely new code if it appeared many times in the survey dataset.  \n\u2022 Examine data accuracy of outlier values, defined as values that lie outside both 5th and 95th percentiles, by listening to interview recordings.\n\u2022 Final check on matching main dataset with different sections, where information is asked on individual level, are kept in separate data files and in long form. \n\u2022 Label variables using the full question text.\n\u2022 Label variable values where necessary.","method_notes":"For the creation of the public data set, additional anonymization processes were conducted\n\u2022 Create anonymized household and respondent ids. Households can only be identifiable by region and urban\/rural location.\n\u2022 Remove text responses.\n\u2022 Aggregate low frequency response categories.\n\u2022 Drop questions that cannot be properly anonymized.\n\u2022 Remove questions that may contain sensitive information."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"","required":"yes","form_no":"","uri":""}],"cit_req":"Use of the dataset 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. Vietnam COVID-19 High Frequency Phone Survey of Households (HFPS-R4) 2021, Round 4. Ref. VNM_2021_HFPS_v01_M. Dataset downloaded from www.microdata.worldbank.org on [date].","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."}}},"tags":[{"tag":"DOI"}],"schematype":"survey"}