Djibouti - COVID-19 National Panel Phone Survey 2020, Wave 1

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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.

Type: 
Microdata
Acronym: 
CNPPS 2020
Languages Supported: 
English
Topics: 
Topic not specified
Geographical Coverage: 
Djibouti
Economy Coverage: 
Economy Coverage not specified
Release Date: 
October 27, 2020

Last Updated

Last Updated: 
October 27, 2020

Harvest System ID

Harvest System ID: 
Microdata

Harvest Source ID

Harvest Source ID: 
11760
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.
Version Description: 
v01 (October 2020)
Version Production Date: 
Thursday, October 22, 2020
Publisher Name: 

Development Economics Data Group; The World Bank Group

Funding Name, Abbreviation, Role: 
The World Bank
Other Acknowledgments: 
Ministry of Social Affairs and Solidarity, Djibouti; Government of Djibouti
Study Type: 
Other Household Survey
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.
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.
Primary Investigator Name, Affiliation: 
Poverty and Equity Global Practice; The World Bank
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.
Response Rates: 
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.
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
Data Collector(s) Name: 
Institut National de la Statistique de Djibouti
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).
Other Processing: 
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

No Visualizations Available.

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: DJI_2020_CNPPS-W1_v01_M. Dataset downloaded from [url] on [date].

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.

FieldValue
Modified Date
2020-10-28
Release Date
Identifier
d47509a7-4692-4b54-a6c9-b3afef50bc4e
License
License Not Specified
Contact Email
Public Access Level
Public
Rating: 
0
No votes yet
Acronym: 
CNPPS 2020
Type: 
Languages Supported: 
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.
Response Rates: 
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.
Economy Coverage: 
Other Acknowledgments: 
Ministry of Social Affairs and Solidarity, Djibouti; Government of Djibouti
Primary Investigator Name, Affiliation: 
Poverty and Equity Global Practice; The World Bank
Publisher Name: 
Development Economics Data Group; The World Bank Group
Version Description: 
v01 (October 2020)
Subtitle: 
Wave 1
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.
Geographical Coverage: 
Data Classification of a Dataset: 
Version Production Date: 
Thursday, October 22, 2020
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.
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.
Release Date: 
Tuesday, October 27, 2020
Last Updated Date: 
Tuesday, October 27, 2020
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
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).
Other Processing: 
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
Harvest Source: 
Harvest System ID: 
11760
Citation Text: 
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: DJI_2020_CNPPS-W1_v01_M. Dataset downloaded from [url] on [date].
Modified date: 
18562
Study Type: 
Other Household Survey
Primary Dataset: 
Yes
Data Collector(s) Name: 

Institut National de la Statistique de Djibouti

Funding Name, Abbreviation, Role: 

The World Bank

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This dataset is classified as Public under the Access to Information Classification Policy. Users inside and outside the Bank can access this dataset.

This dataset is made available under the World Bank Microdata Research License

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