World - Rapid Emergency Response Survey 2017, Pilot Project

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The Rapid Emergency Response Survey (RERS) 2017 is a pilot project that developed a rapid, low cost methodology using phone interviews to identify critical developmental binding constraints to inform a developmental response to populations in crisis. The RERS was conducted in Nigeria, Somalia, South Sudan and Yemen, where food shortage from a prolonged drought brought large portions of the populations to the brink of famine. These conditions urged a rapid humanitarian short-term response but also requires a developmental intervention to restore assets and create resilience for future shocks. The RERS collects data to inform the developmental response.

Acronym: 
RERS 2017
Type: 
Microdata
Topics: 
Topic not specified
Languages Supported: 
English
Geographical Coverage: 
World
Reference ID: 
WLD_2017_RERS_v01_M
Release Date: 
December 14, 2018

Harvest Source

Harvest Source: 
Microdata

Harvest Source ID

Harvest Source ID: 
10286

Last Updated

Last Updated: 
January 15, 2019
Study Type: 

Socio-Economic/Monitoring Survey [hh/sems]

Deviations from Sample Design: 
In Yemen, three governorates, Al Jawf, Al Maharah and Socotra, could not be reached over the phone, thus they were dropped and the share of planned interviews was evenly spread among other governorates.
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.
Primary Investigator Name, Affiliation: 
Utz Pape - World Bank, Poverty and Equity Global Practice
Questionnaires: 
The questionnaire covers modules on income, employment, schooling, market and food access, water and health. Many questions explore changes in these areas over the previous 1 to 12 months, to understand the impacts of the current food security crisis. The questionnaire also includes the Coping Strategies Index (CSI), which measures severity of food insecurity. This index has been used as a measure of household vulnerability, which is correlated against other variables to understand the profiles of households that are most vulnerable. All questionnaires and modules are provided as Related Materials.
Sampling Procedure: 
SOMALIA - Population targeted: Households with active phone connections and charged phones in 13 (pre-war) regions classified to be under ‘Emergency’ phase as per the IPC. - Sample structure: 2600 households, stratified by region. A random sample was drawn for each strata based on a sampling frame of phone numbers that responded to a mass text message sent for this purpose. SOUTH SUDAN - Population targeted: Households with active phone connections and charged phones in 6 (pre-war) states classified to be under ‘Emergency’ phase as per the IPC. - Sample structure: 1200 households, stratified by state. A random sample was drawn for each of the strata using random digit dialing. YEMEN - Population targeted: Households with active phone connections and charged phones across all (21) governorates in the country and the capital City, Sana’a. - Sample structure: 1800 households, stratified by governorate (the capital Sana’a is a separate strata in itself). A random sample -was drawn from each governorate and the capital Sana’a, using random digit dialing. The sample size of these strata is low and would yield large confidence intervals for the estimates. Thus, for analysis the strata can be grouped into 'analytical strata' as follows: 1. Governorates in emergency or worse as per the IPC. 2. Governorates not in emergency as per IPC. 3. Capital city of Sana’a.
Series Information: 
Subtitle: 
Pilot Project
Unit of Analysis: 
- Households
Universe: 
Households with active phone connections and charged phones in 13 (pre-war) regions classified to be under ‘Emergency’.
Version Description: 
- v01: Cleaned, anonymous dataset for Somali regions, South Sudan and Yemen
Weighting: 
The sampling weight w is calculated for each strata as follows: w = N/n, where N is the population in the strata, and n is the number of interviews completed in the strata. Note that the strata are defined slightly differently among the countries, as detailed in Sampling Procedure above. For Yemen, the governorate-level strata are used to calculate the weights.

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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, Utz Pape, World Bank. Rapid Emergency Response Survey (RERS) 2017. Ref. WLD_2017_RERS_v01_M, Dataset downloaded from [url] on [date].

The Rapid Emergency Response Survey (RERS) 2017 is a pilot project that developed a rapid, low cost methodology using phone interviews to identify critical developmental binding constraints to inform a developmental response to populations in crisis. The RERS was conducted in Nigeria, Somalia, South Sudan and Yemen, where food shortage from a prolonged drought brought large portions of the populations to the brink of famine. These conditions urged a rapid humanitarian short-term response but also requires a developmental intervention to restore assets and create resilience for future shocks. The RERS collects data to inform the developmental response.

FieldValue
Modified Date
2019-01-31
Release Date
Identifier
0f978755-dcb6-4e9e-82eb-111e9dbfd005
License
License Not Specified
Contact Email
Public Access Level
Public
Rating: 
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No votes yet
Reference ID: 
WLD_2017_RERS_v01_M
Acronym: 
RERS 2017
Type: 
Languages Supported: 
Access Authority Name, Affiliation, Email: 
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.
Weighting: 
The sampling weight w is calculated for each strata as follows: w = N/n, where N is the population in the strata, and n is the number of interviews completed in the strata. Note that the strata are defined slightly differently among the countries, as detailed in Sampling Procedure above. For Yemen, the governorate-level strata are used to calculate the weights.
Primary Investigator Name, Affiliation: 
Utz Pape - World Bank, Poverty and Equity Global Practice
Version Description: 
- v01: Cleaned, anonymous dataset for Somali regions, South Sudan and Yemen
Subtitle: 
Pilot Project
Unit of Analysis: 
- Households
Universe: 
Households with active phone connections and charged phones in 13 (pre-war) regions classified to be under ‘Emergency’.
Geographical Coverage: 
Data Classification of a Dataset: 
Series Information: 
Sampling Procedure: 
SOMALIA - Population targeted: Households with active phone connections and charged phones in 13 (pre-war) regions classified to be under ‘Emergency’ phase as per the IPC. - Sample structure: 2600 households, stratified by region. A random sample was drawn for each strata based on a sampling frame of phone numbers that responded to a mass text message sent for this purpose. SOUTH SUDAN - Population targeted: Households with active phone connections and charged phones in 6 (pre-war) states classified to be under ‘Emergency’ phase as per the IPC. - Sample structure: 1200 households, stratified by state. A random sample was drawn for each of the strata using random digit dialing. YEMEN - Population targeted: Households with active phone connections and charged phones across all (21) governorates in the country and the capital City, Sana’a. - Sample structure: 1800 households, stratified by governorate (the capital Sana’a is a separate strata in itself). A random sample -was drawn from each governorate and the capital Sana’a, using random digit dialing. The sample size of these strata is low and would yield large confidence intervals for the estimates. Thus, for analysis the strata can be grouped into 'analytical strata' as follows: 1. Governorates in emergency or worse as per the IPC. 2. Governorates not in emergency as per IPC. 3. Capital city of Sana’a.
Deviations from Sample Design: 
In Yemen, three governorates, Al Jawf, Al Maharah and Socotra, could not be reached over the phone, thus they were dropped and the share of planned interviews was evenly spread among other governorates.
Release Date: 
Friday, December 14, 2018
Last Updated Date: 
Tuesday, January 15, 2019
Questionnaires: 
The questionnaire covers modules on income, employment, schooling, market and food access, water and health. Many questions explore changes in these areas over the previous 1 to 12 months, to understand the impacts of the current food security crisis. The questionnaire also includes the Coping Strategies Index (CSI), which measures severity of food insecurity. This index has been used as a measure of household vulnerability, which is correlated against other variables to understand the profiles of households that are most vulnerable. All questionnaires and modules are provided as Related Materials.
Harvest Source: 
Harvest Source ID: 
10286
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 Example, Utz Pape, World Bank. Rapid Emergency Response Survey (RERS) 2017. Ref. WLD_2017_RERS_v01_M, Dataset downloaded from [url] on [date].
Modified date: 
17911
Study Type: 
Socio-Economic/Monitoring Survey [hh/sems]
Primary Dataset: 
Yes

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