COVID-19 National Panel Phone Survey 2020, Wave 2
Djibouti, 2020
Poverty and Equity GP
Created on
February 18, 2021
Last modified
February 18, 2021
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Identification
Survey ID Number
DJI_2020_CNPPS-W2_v01_M
Title
COVID-19 National Panel Phone Survey 2020, Wave 2
Subtitle
Wave 2
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. The second round was collected between September and October 2020.
Abstract
To monitor the rapidly changing economic landscape due to COVID-19, the National Institute of Statistics of Djibouti (INSD), with the technical assistance from the World Bank, conducted a second wave of the COVID phone survey from September 20 to October 18, 2020. Like the first wave fielded in July, this wave drew from a sampling frame consisting of households from the Ministry of Social Affairs and Solidarity’s social registry that reported telephone numbers. The sample, consisting of 1,460 complete interviews, combined a panel of households interviewed during the first wave, to which a replacement sample was added to compensate for attrition.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Household
- Individual
- Individual
Version
Version Description
Version 01: Edited, anonymized dataset for public distribution.
Version Date
943938000
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 GP | The World Bank |
Producers
| Name | Role |
|---|---|
| Institut Nationale de la Statistique de Djibouti (INSD) | Implementation partner and collaborated in survey design and analysis |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| The World Bank | WBG |
Other Identifications/Acknowledgments
| Name | Role |
|---|---|
| Ministry of Social Affairs and Solidarity, Djibouti | Sharing the social registry data with INSD to draw a sample |
Sampling
Sampling Procedure
The sampling strategy allows for disaggregation by poverty status4 and by three survey domains, being Balbala (476 households), rest of Djibouti City (487 households) and urban areas outside Djibouti City (497 households). See "Box 1. Sampling strategy and sampling weights in wave 2" of the survey report provided as Related Documents.
Response Rate
The response rate stands at 85 percent nationally and the results are representative of the country’s urban population except for the top wealth quintile (richest 20 percent). For more information, please see Table 2.1 of the survey report provided as Related Documents.
Weighting
Both cross-sectional and panel weights are designed to adjust for differences in selection probability due to either design or non-response. In addition, further adjustments in sampling weights were made to ensure that indicators produced are representative of the country’s population, by poverty status and by location. The sampling frame, the social registry of the Ministry of Social Affairs, 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 by 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.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2020-09-20 | 2020-10-19 | Round 2 |
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 |
|---|---|
| Institut National de la Statistique de Djibouti | INSD |
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 language (Afar, Arabe, Somali, Français 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 | WBG | vmendiratta@worldbank.org |
| Romeo Jacky Gansey | WBG | 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
World Bank. Djibouti COVID-19 National Panel Phone Survey 2020 (CNPPS), Wave 2. Ref: DJI_2020_CNPPS-W2_v01_M. Dataset downloaded from www.microdata.worldbank.org 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
World Bank. Djibouti COVID-19 National Panel Phone Survey 2020 (CNPPS), Wave 2. Ref: DJI_2020_CNPPS-W2_v01_M. Dataset downloaded from www.microdata.worldbank.org 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_DJI_2020_CNPPS-W2_v01_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Data Group | DECDG | World Bank | Documentation of the Study |
Date of Metadata Production
2021-02-16
DDI Document version
Version 01