COVID-19 National Panel Phone Survey 2021, Wave 4
Djibouti, 2021
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DJI_2021_CNPPS-W4_v01_M
COVID-19 National Panel Phone Survey 2021
Wave 4
| Name | Country code |
|---|---|
| Djibouti | DJI |
Other Household Health Survey [hh/hea]
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. The fourth round of data was collected in March and April 2021 by the National Institute of Statistics of Djibouti.
To understand the socio-economic impact of COVID-19 and associated government measures over the long term, the fourth round of the COVID-19 National Panel Phone Survey 2020 was collected by the National Institute of Statistics of Djibouti (INSD) between March 11 and April 25, 2021. 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.
Sample survey data [ssd]
- Household
- Individual
Version
Version 01: Edited, anonymized dataset for public distribution.
2021-04-25
Scope
The COVID-19 National Panel Phone Survey 2021 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
- Vaccine Attitudes
- Gender
Coverage
Urban areas only. The survey is representative of the bottom 80 percent of the consumption distribution of the national households (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.
The survey covers national 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.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Poverty and Equity Global Practice | World Bank |
| Name | Role |
|---|---|
| Institut de la Statistique de Djibouti | Implementation partner and collaborated on survey deisng and analysis |
| Name |
|---|
| The World Bank |
| Name | Role |
|---|---|
| Ministry of Social Affairs and Solidarity, Djibouti | Sharing the social registry data with INSTAD to draw a sample |
Sampling
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 of the national sample. 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. The fourth wave sample consists of 1,561 respondents, 1,122 of which are panel households interviewed in wave 3, and 439 replacement households. The response rate of the whole sample stands at 71.8 percent. Unlike the third wave, in the fourth wave, households who were not reachable in wave 3 but were part of the first two waves, were considered as part of the sampling frame
The response rate of the whole sample stands at 71.8 percent, with variations across location. In Balbala region, the rate was 75.1 percent, in the rest of Djibouti City, 71.6 percent, in other urban areas, it was 68.8 percent.
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 of the Djibouti nationals, 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.
Survey instrument
The questionnaire of the fourth round is adapted from the questionnaire of the third 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 languages (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
Data collection
| Start | End |
|---|---|
| 2021-03-11 | 2021-04-25 |
| Name |
|---|
| Institut de la Statistisque de Djibouti |
-
Organization of the fieldwork: The survey team was composed of 27 surveyors and 4 supervisors. Each enumerator was given a tablet and mobile phone (including sim card and data bundles) to be used for theinterviews. 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.
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Pre-loaded information: Basic information on each household (such as location, household head's name, phone number, etc.) was pre-loaded in the CATI assignments for each interviewer. The list of household members and their basic characteristics were uploaded from the previous rounds and the social registry data. 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 third round were uploaded to ensure an easier follow-up.
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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.
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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.
Data processing
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).
Data Access
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:
- 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.
- 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.
- To hold instrictest 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.
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
Egs:
Poverty and Equity Global Practice, World Bank. Djibouti COVID-19 National Panel Phone Survey, Wave 4 (CNPPS-W4), 2021. Ref. DJI_2021_CNPPS-W4_v01_M. Dataset downloaded from www.microdata.worldbank.org on [date].
Disclaimer and copyrights
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.
Contacts
| Name | Affiliation | |
|---|---|---|
| Bilal Malaeb | World Bank Group | bmalaeb@worldbank.org |
Metadata production
DDI_DJI_2021_CNPPS-W4_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Data Group | The World Bank Group | Documentation of the DDI |
2021-11-22
Metadata version
Version 1 (November 2021)