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    Home / Central Data Catalog / HFPS / DJI_2021_CNPPS-W4-ECV_V01_M
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COVID-19 National Panel Phone Survey 2021 - Wave 4 - Refugee Sample

Djibouti, 2021
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Reference ID
DJI_2021_CNPPS-W4-ECV_v01_M
DOI
https://doi.org/10.48529/j0q1-vr77
Producer(s)
Poverty and Equity GP
Collection(s)
High-Frequency Phone Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Aug 28, 2023
Last modified
Aug 28, 2023
Page views
759
Downloads
65
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Questionnaires
  • Access policy
  • Disclaimer and copyrights
  • Metadata production

Identification

Survey ID Number
DJI_2021_CNPPS-W4-ECV_v01_M
Title
COVID-19 National Panel Phone Survey 2021 - Wave 4 - Refugee Sample
Country/Economy
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 crisis. Towards this end, a phone survey of 4 rounds is expected to be implemented in Djibouti. This round, which only corresponds to the refugee sub-sample of the fourth round of data (second round for the refugee sample) was collected in November and December 2021 by the National Institute of Statistics of Djibouti.
Abstract
To understand the socio-economic impact of COVID-19 and associated government measures over the long term, the refugee data of the fourth round of the COVID-19 National Panel Phone Survey 2020 was collected by the National Institute of Statistics of Djibouti (INSD) between November 11 and December 28, 2021. This second wave of the refugee sample aims to provide a snapshot of the situation for refugees in Djibouti as the economic recovery from the pandemic began. The sample consists of 436 respondents, 286 of whom are based in refugee villages, and 150 refugees living in urban areas. Various channels of impact are explored such as job loss, availability and price changes of basic food items, ability to access healthcare and education, food insecurity. The survey also includes a section on gender issues, including time-use and decision making, as well as a section on attitudes towards COVID-19 Vaccine. Within households, a respondent was chosen at random between the household heads and spouses, allowing comparison between female and male respondents in the sample. Further, the education questions are asked for a randomly chosen boy or girl within the households that have children.
Unit of Analysis
- Household
- Individual

Version

Version Description
Version 01: Edited, anonymized dataset for public distribution.
Version Date
2023-06-22

Scope

Notes
The COVID-19 National Panel Phone Survey 2020 Djibouti wave 4 covered the following topics:
- Household Roster
- Employment
- Household's income sources
- Access to Basic Goods
- Access to Healthcare and Education
- Food Insecurity
- Decision Making and Time Use
- Vaccine Attitudes

Coverage

Geographic Coverage
Regarding the refugee sample, the survey is representative of the population of refugees and asylum-seekers present in Djibouti in three refugee villages (or refugee settlements) of Ali Addeh, Holl Holl and Markazi, as well as in the capital city Djibouti-city. Therefore, the survey covers both urban refugees (from Djibouti-city) and village-based refugees (from the refugee villages).

Producers and sponsors

Primary investigators
Name Affiliation
Poverty and Equity GP World Bank
Producers
Name Role
Institut National de la Statistique de Djibouti Implementation partner and collaboration on survey design and analysis
Funding Agency/Sponsor
Name Abbreviation
The World Bank WB

Sampling

Sampling Procedure
The refugee sample covers households from the sample of the Refugee Survey collected in 2019 by INSD jointly with MASS, World Food Program (WFP) and United Nations High Commissioner for Refugees (UNHCR) through face-to-face interviews. The original sample of the Refugee Survey in 2019 was drawn from the refugee registration data. Among the Refugee Survey sample, the refugee sample of the COVID survey was a random sample of those with a phone number on file. The sampling was done by a random drawing at one degree among refugee and asylum-seeker households living in four independent strata: Djibouti-City, and the refugee villages of Ali Addeh, Holl Holl and Markazi.

In contrast to the first wave of refugee sample (called the "third wave - refugee sample") which was fielded contemporaneously with an identical phone survey aimed at a nationally representative population of Djiboutians, this second wave of refugee sample (also referred as "fourth wave - refugee sample") was not fielded at the same time as the national sample. Therefore, the fourth wave national sample and refugee sample surveys are not strictly comparable because of this time difference. Moreover, despite the fact that this survey is the second wave on the refugee population, its results may not be compared to those from the first wave ("third wave - refugee sample") because of increased quality control implemented during the course of this wave resulting in patterns observed in the data that are consistent with dissimilar distributions of non-sampling errors resulting in potential bias that a priori cannot be signed.
Response Rate
The response rate of the whole sample stands at 46.8 percent, with variation by area of residence (45.7 percent in refugee villages and 49.2 percent in urban areas). The sample consists of 436 interviewed households with complete information.
Weighting
The sampling weights for the refugee sample are designed to adjust for differences in design and non-response. The refugees are distributed across four broad locations: Djibouti city and Balbala, Holl-Holl, Ali-Addeh, and Markazi. The population estimates of refugees and asylum seekers in these locations were 2936, 1707, 4408, 1398 households, respectively. Further, the weights are adjusted for non-response within the refugee sample, based on the inverse predicted probability of responding to the survey, conditional on observable characteristics (location, household size, gender, age, education of the household head, and year of arrival to Djibouti).

Data Collection

Dates of Data Collection
Start End
2021-11-11 2021-12-28
Data Collection Mode
Computer Assisted Telephone Interview [cati]
Data Collection Notes
1. Organization of the fieldwork: The survey team for the refugee sample was composed of 4 surveyors and 1 supervisor. 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 and the previous round. The list of household members and their basic characteristics were uploaded from the refugee survey. 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. Moreover, the names of the respondent and the breadwinner from the previous round were uploaded to ensure an easier follow-up.
3. Respondents: The survey had one respondent per household, who was the knowledgeable adult household member or the head of the household. In this round, the respondent is an adult, household head or spouse, and chosen at random to allow comparison between male and female respondents. The respondent may still consult with other household members as needed to respond to the questions.
4. Questions that relate to children in the household are asked to the adult respondent. The child is chosen at random within the household roster for households who have children in order to allow comparison between girls and boys.

Questionnaires

Questionnaires
The questionnaire of the fourth round is adapted from the questionnaire of the previous round and in accordance with 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, Arabic, Somali, French or other). The questionnaire includes the following sections:
- Household Roster
- Employment
- Household's Income Sources
- Access to Basic Goods
- Access to Healthcare and Education
- Food Insecurity
- Vaccine Attitudes
- Gender

Access policy

Contacts
Name Affiliation Email
Bilal Malaeb World Bank Group bmalaeb@worldbank.org
Confidentiality
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

Example:
Poverty and Equity GP (World Bank). Djibouti - COVID-19 National Panel Phone Survey 2021 - Wave 4 - Refugee Sample (DJI ECV 2020 -W4). Ref: DJI_2021_CNPPS-W4-ECV_v01_M. Downloaded from [uri] on [date].
Access authority
Name Affiliation
Bilal Malaeb World Bank Group

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_2021_CNPPS-W4-ECV_v01_M_WB
Producers
Name Abbreviation Affiliation Role
Development Data Group DECDG World Bank Documentation of the study
Date of Metadata Production
2023-08-28
DDI Document version
Version 01 (2023-08-28)
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