COVID-19 National Panel Phone Survey 2020, Wave 1
Djibouti, 2020
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Reference ID
WBG_DJI_2020_CNPPS-W1_v01_M
Producer(s)
Poverty and Equity Global Practice
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Metadata
Created on
May 19, 2021
Last modified
May 19, 2021
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5177
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Identification
Survey ID Number
WBG_DJI_2020_CNPPS-W1_v01_M
Title
COVID-19 National Panel Phone Survey 2020, Wave 1
Subtitle
Wave 1
Country
| Name | Country code |
|---|---|
| Djibouti | DJI |
Study type
Other Household Survey [hh/oth]
Series Information
The World Bank is providing technical and financial support to countries to help mitigate the spread and impact of the coronavirus 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, a phone survey of 4 rounds is expected to be implemented in Djibouti. The first round of data was collected in July 2020 by the National Institute of Statistics of Djibouti.
Abstract
To understand the socio-economic impact of COVID-19 and associated government measures, the first round of the COVID-19 National Panel Phone Survey 2020 was collected by the National Institute of Statistics of Djibouti (INSD) between July 7-22, 2020. Various channels of impact are explored such as job loss, availability and price changes of basic food items, and ability to access healthcare and education.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Household
- Individual
- Individual
Version
Version Description
Version 01: Edited, anonymized dataset for public distribution.
Scope
Notes
The COVID-19 National Panel Phone Survey 2020 Djibouti Wave 1 covered the following topics:
- Household Roster
- Knowledge and Behavior Regarding the COVID-19
- Employment
- Household's Income
- Access to Basic Goods
- Access to Healthcare and Education
- Safety Nets
- Household Roster
- Knowledge and Behavior Regarding the COVID-19
- Employment
- Household's Income
- Access to Basic Goods
- Access to Healthcare and Education
- Safety Nets
Coverage
Geographic Coverage
Urban areas only. The survey is representative of the bottom 80 percent of the consumption distribution (thus the top 20 percent are excluded). It is representative by poverty status and by three domains of Balbala, rest of Djibouti city and urban areas outside Djibouti city.
Universe
The survey covers households that reported telephone numbers, are included in the social registry data collected by the Ministry of Social Affairs and Solidarity (MASS) and have been interviewed after 2017. Refugees are excluded from this first round.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Poverty and Equity Global Practice | The World Bank |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Institut Nationale de la Statistique de Djibouti (INSD) | Government of Djibouti | Implementation partner and collaborated in survey design and analysis |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| The World Bank | WBG |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Ministry of Social Affairs and Solidarity, Djibouti | Government of Djibouti | Sharing the social registry data with INSD to draw a sample. |
Sampling
Sampling Procedure
As a recently conducted representative household survey with telephone numbers was not available, data from the national social registry collected by the Ministry of Social Affairs (MASS) was used as the sampling frame. The social registry is an official database of households in Djibouti that may benefit from public transfers and be particular targets of poverty alleviation efforts. The sample consists of households drawn randomly from the social registry data restricted to urban households having at least one phone number and interviewed after July 1, 2017.
The sample design is a one-stage probability sample selected from the sampling frame and stratified along two dimensions: the survey domain (three categories) and the poverty status (binary). This yields six independent strata. Within each stratum, households are selected with the same ex-ante probability but this differs across strata. Initially 1,590 households are drawn. Given a non-response rate averaging 30 percent, a replacement sample of 750 households was selected. About 589 of these replacement households have been contacted to reach the overall goal of 1,486 completed interviews.
The sample design is a one-stage probability sample selected from the sampling frame and stratified along two dimensions: the survey domain (three categories) and the poverty status (binary). This yields six independent strata. Within each stratum, households are selected with the same ex-ante probability but this differs across strata. Initially 1,590 households are drawn. Given a non-response rate averaging 30 percent, a replacement sample of 750 households was selected. About 589 of these replacement households have been contacted to reach the overall goal of 1,486 completed interviews.
Response Rate
The response rate stood at 71.4 percent nationally with 1,486 interviewed households. Slight differences were observed across location with districts 1, 2 and 3 of Djibouti city more likely to respond than other locations (72.9 percent versus 70.9 and 70.4 percent respectively in Balbala and other urban areas).
Weighting
Both the population and household weights are designed to adjust for differences in selection probability due to either design or non-response. Each weight is a combination of a design weight and a post-stratification weight, accounting for non-responses. In addition, further adjustments in sampling weights were made to ensure that indicators produced are representative of the country's urban population, by poverty status and by location. The sampling frame of the social registry over-represents the poor and has an incomplete coverage of the upper distribution of income. To correct for these biases, we rely on a post-calibration approach, using the household budget survey of 2017 (EDAM 2017) as the reference data source. This is because EDAM 2017 survey was representative of the country’s population, poverty status and survey domains. However, EDAM 2017 survey is restricted to the first four consumption quintiles to ensure sufficient overlap of the universes covered by both surveys. Thus, the results presented in this report are representative of the country’s urban population except for the top 20 percent of the richest.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2020-07-07 | 2020-07-22 | Round 1 |
Data Collection Mode
Computer Assisted Telephone Interview [cati]
Data Collection Notes
1. Organization of the fieldwork:
The survey team was composed of 23 surveyors and 5 supervisors. Each enumerator was given a tablet and mobile phone (including sim card and data bundles) to be used for the interviews. The questionnaire was implemented using CsPro's CATI capabilities. Data were collected by trained INSD interviewers who individually made phone calls from their respective homes. Data from completed and partially completed interviews were synchronized each evening.
2. Pre-loaded information:
Basic information on each household (such as location, household head name, phone number, etc.) was pre-loaded in the CATI assignments for each interviewer. The list of household members from the social registry data and their basic characteristics were uploaded. The aim of pre-loaded information is to assist interviewers in calling and identifying the household, and ensure that each pre-loaded person is properly addressed and easily matched to the most recent interviews.
3. Respondents:
The survey had one respondent per household. The respondent was the knowledgeable adult household member or the head of the household. The respondent must be a member of the household and must be an adult. The respondent may still consult with other household members as needed to respond to the questions.
The survey team was composed of 23 surveyors and 5 supervisors. Each enumerator was given a tablet and mobile phone (including sim card and data bundles) to be used for the interviews. The questionnaire was implemented using CsPro's CATI capabilities. Data were collected by trained INSD interviewers who individually made phone calls from their respective homes. Data from completed and partially completed interviews were synchronized each evening.
2. Pre-loaded information:
Basic information on each household (such as location, household head name, phone number, etc.) was pre-loaded in the CATI assignments for each interviewer. The list of household members from the social registry data and their basic characteristics were uploaded. The aim of pre-loaded information is to assist interviewers in calling and identifying the household, and ensure that each pre-loaded person is properly addressed and easily matched to the most recent interviews.
3. Respondents:
The survey had one respondent per household. The respondent was the knowledgeable adult household member or the head of the household. The respondent must be a member of the household and must be an adult. The respondent may still consult with other household members as needed to respond to the questions.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Institut National de la Statistique de Djibouti | INSD | Government of Djibouti |
Questionnaires
Questionnaires
The questionnaire is adapted from the template questionnaire prepared by the Poverty and Equity GP to measure the impact of COVID-19 on household welfare. It was designed in French and dispensed in local languages (Afar, Arabic, Somali, French or other). The questionnaire includes the following sections:
- Household Roster
- Knowledge and Behavior Regarding the COVID-19
- Employment
- Household's Income
- Needs
- Access
- Safety Nets
- Household Roster
- Knowledge and Behavior Regarding the COVID-19
- Employment
- Household's Income
- Needs
- Access
- Safety Nets
Data Processing
Data Editing
The CsPro CATI data entry application helped to enforce skip and range patterns during data collection. Standard consistency checks (like age differences between parents and children and unicity of household heads) were carried out at the time of the data collection. Because the entry application was strictly system-controlled, complete cases including missing items were avoided. The various checks resulted in a limited need for secondary data editing, which eventually entailed two main steps from the WB team. First, duplicated names of household members, who were otherwise distinct, were corrected by adding a suffix “bis” to the names. Second, after analysis of text responses mentioned in the residual “other” categories, a few items codes were adjusted (not exceeding 10 in any category).
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| Vibhuti Mendiratta | World Bank Group | vmendiratta@worldbank.org |
| Romeo Jacky Gansey | World Bank Group | rgansey@worldbank.org |
Confidentiality
Access conditions
The dataset has been anonymized and is available as a Public Use Dataset. Before being granted access to the dataset, all users have to formally agree:
1. 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.
2. 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.
3. 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.
1. 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.
2. 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.
3. 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.
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Poverty and Equity Global Practice. Djibouti, COVID-19 National Panel Phone Survey 2020, Wave 1 (CNPPS-W1) 2020. Ref: WBG_DJI_2020_CNPPS-W1_v01_M. Dataset downloaded from [url] on [date].
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Poverty and Equity Global Practice. Djibouti, COVID-19 National Panel Phone Survey 2020, Wave 1 (CNPPS-W1) 2020. Ref: WBG_DJI_2020_CNPPS-W1_v01_M. 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_WBG_DJI_2020_CNPPS-W1_v01_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Economics Data Group | DECDG | The World Bank Group | Documentation of the DDI |
Date of Metadata Production
2020-10-22
DDI Document version
v01 (October 2020)