COVID-19 High Frequency Phone Survey 2021
Brazil, 2021
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Reference ID
BRA_2021_HFPS_v02_M
Producer(s)
Gabriel Lara Ibarra, Anna Luisa Paffhausen, Ricardo Campante Cardoso Vale, Carolina Mejia-Mantilla, Adriana Camacho, Javier Romero
Collection(s)
Metadata
Created on
Jun 09, 2022
Last modified
Jul 06, 2022
Page views
4863
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234
Identification
Survey ID Number
BRA_2021_HFPS_v02_M
Title
COVID-19 High Frequency Phone Survey 2021
Country/Economy
| Name | Country code |
|---|---|
| Brazil | BRA |
Study type
Socio-Economic/Monitoring Survey [hh/sems]
Series Information
The survey is part of the LAC: COVID-19 High Frequency Monitoring Project (P175839) and was conducted under the Brazil Poverty and Equity Program (P177527)
Abstract
The Brazil 2021 COVID-19 Phone Survey was conducted to provide information on how the pandemic had been affecting Brazilian households in 2021. It was inspired by the Latin America and Caribbean High Frequency Phone Surveys and collected information along multiple dimensions relevant to the welfare of the population (e.g. changes in employment and income, coping mechanisms, access to health and education services, gender inequalities, and food insecurity). A total of 2,166 phone interviews were conducted across all Brazilian states between July 26 and October 1, 2021. The survey followed a Random Digit Dialing (RDD) sampling methodology using a dual sampling frame of cellphone and landline numbers. The sampling frame was stratified by type of phone and state. Results are nationally representative for households with a landline or at least one cell phone and of individuals of ages 18 years and above who have an active cell phone number or a landline at home.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households and individuals of 18 years of age and older.
Version
Version Description
Version 02: Edited, anonymized dataset for public distribution.
Version Date
2021-06-25
Version Notes
Updated data, variable and value labels are provided in Portuguese.
Scope
Notes
The survey gathered information on food insecurity, changes in employment, income loss, access to health services and education, gender issues, access to digital and banking services and coping mechanisms. Eligible respondents were adults 18 years old and above. Only one respondent per household was interviewed, and she answered both individual and household-level questions. Questions on access to education services for a randomly selected school-age (6-17 years old) child were also answered by the respondent.
Coverage
Geographic Coverage
National coverage
Universe
Households with a landline or in which at least one member has a cell phone, and individuals 18 years of age or above who have an active cell phone number or a landline at home.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Gabriel Lara Ibarra | World Bank Group |
| Anna Luisa Paffhausen | World Bank Group |
| Ricardo Campante Cardoso Vale | World Bank Group |
| Carolina Mejia-Mantilla | World Bank Group |
| Adriana Camacho | United Nations Development Programme |
| Javier Romero | World Bank Group |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Oppen Social | Private vendor | Survey collection |
Funding Agency/Sponsor
| Name | Role |
|---|---|
| World Bank Group | Funding the study |
Sampling
Sampling Procedure
The sample is based on a dual frame of cell phone and landline numbers that was generated through a Random Digit Dialing (RDD) process and consisted of all possible phone numbers under the national phone numbering plan. Numbers were screened through an automated process to identify active numbers and cross-checked with business registries to identify business numbers not eligible for the survey. This method ensures coverage of all landline and cellphone numbers active at the time of the survey. The sampling frame was stratified by type of phone and state.
See Sampling Design and Weighting document for more detail
See Sampling Design and Weighting document for more detail
Response Rate
Response rates for landline phones and cell phones were 11.3 percent and 8.5 percent, respectively. Sizes of the samples drawn from the frames were based on the expectation of low response rates for phone surveys.
See Sampling Design and Weighting document for more detail.
See Sampling Design and Weighting document for more detail.
Weighting
The survey has two sample units: households and individuals. Sampling weights were computed for each unit and should be used according to the estimate of interest. The weighting process involved the following steps:
1. Calculation of the inclusion probabilities of landline and cell phone numbers, including automatic adjustment for non-response.
2. Computation of base weights for households and individuals.
3. Calibration of individual and household weights, using external data from official sources (adjusted for the national phone coverage).
The survey included a child module that was administered for one random eligible child selected in each household. In this case the child weight is equal to the household weight multiplied by the number of eligible children in the household.
See Sampling Design and Weighting document for more detail.
1. Calculation of the inclusion probabilities of landline and cell phone numbers, including automatic adjustment for non-response.
2. Computation of base weights for households and individuals.
3. Calibration of individual and household weights, using external data from official sources (adjusted for the national phone coverage).
The survey included a child module that was administered for one random eligible child selected in each household. In this case the child weight is equal to the household weight multiplied by the number of eligible children in the household.
See Sampling Design and Weighting document for more detail.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2021-07-26 | 2021-10-01 | Wave 1 |
Data Collection Mode
Computer Assisted Telephone Interview [cati]
Supervision
Supervision was carried out jointly by the Data collection vendor and the Brazil Poverty team.
Data Collection Notes
The CATI data collection for the Brazil HFPS proceeded at a slower pace than expected mainly due to the relatively low response rate, and the natural spacing of time required to implement the quality control protocols in terms of the number of call-attempts, the initial requirement for call-attempts on weekends, etc. The data collection period was originally intended to be a little over a month, but it had to be extended. As the progress of the completed call interviews by state was being monitored, at a certain point it was decided to relax some of the protocols, such as removing the requirement for weekend call-attempts, and reducing the total number of callbacks to 5. A review of the CATI records indicated that following the fifth call-attempt the remaining calls had a very low completion rate, so this adjustment of the protocol did not have much effect on quality of the results.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Oppen Social | Oppen | Private vendor |
Questionnaires
Questionnaires
Available in Portuguese. The questionnaire followed closely the LAC HFPS Questionnaire of Phase II Wave I but had some critical variations.
Data Processing
Other Processing
The data collected in the survey has been used to produce two datasets. One dataset contains the information for the respondent as well as for the household. The dataset, labeled 'Cases’, includes both associated individual and household weights. A second dataset, labeled 'Ninos', contains the child-specific answers that were collected in the Education module. The dataset contains the relevant sampling weights.
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| Gabriel Lara Ibarra | Senior Economist ELCPV | glaraibarra@worldbank.org |
| Anna Luisa Paffhausen | Economist ELCPV | apaffhausen@worldbank.org |
| Carolina Mejia-Mantilla | Senior Economist ELCPV | cmejiamantilla@worldbank.org |
Citation requirements
World Bank and United Nations Development Programme (2021). Brazil Covid-19 High-Frequency Phone Surveys 2021. Washington DC. Dataset downloaded from [url] on [date].
Disclaimer and copyrights
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.
Metadata production
DDI Document ID
DDI_BRA_2021_HFPS_v02_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Economics Data Group | DECDG | The World Bank | Documentation of the study |
Date of Metadata Production
2022-06-07
DDI Document version
Version 02 (July 2022). Variable and value labels are provided in Portuguese.