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agricultural-surveys

High Frequency Cell Phone Survey on the Socio-Economic Impacts of Ebola 2014-2015

Sierra Leone, 2014 - 2015
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Reference ID
SLE_2014-2015_HFCPS_v01_EN_M_v01_A_OCS
Producer(s)
Statistics Sierra Leone
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 16, 2020
Last modified
Nov 08, 2022
Page views
10843
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data processing
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    SLE_2014-2015_HFCPS_v01_EN_M_v01_A_OCS

    Title

    High Frequency Cell Phone Survey on the Socio-Economic Impacts of Ebola 2014-2015

    Country
    Name Country code
    Sierra Leone SLE
    Study type

    Socio-Economic/Monitoring Survey [hh/sems]

    Abstract

    As of June 7, 2015, Sierra Leone had reported more than 12,900 cases of Ebola Virus Disease (EVD), and over 3,900 deaths since the outbreak began. The Government of Sierra Leone, with support from the World Bank Group, has been conducting mobile phone surveys with the aim of capturing the key socio-economic effects of the virus. Three rounds of data collection have been conducted, in November 2014, January-February 2015, and May 2015. The survey was given to household heads for whom cell phone numbers were recorded during the nationally representative Labour Force Survey conducted in July and August 2014. Overall, 66 percent of the 4,199 households sampled in that survey had cell phones, although this coverage was uneven across the country, with higher levels in urban areas (82 percent) than rural areas (43 percent). Of those with cell phones, 51 percent were surveyed in all three rounds, and 79 percent were reached in at least one round. The main focus of the data collection was to capture impacts of EVD on labour market indicators, agricultural production, food security, migration, and utilization of non-Ebola essential health services.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Households

    Scope

    Notes

    The scope of the study includes:

    • Employment
    • Business
    • Farming
    • Prices
    • Food security
    • Remittances and travel
    • Health
    • Trust
    • Assets
    • Ebola knowledge
    • Education
    • Social support
    Topics
    Topic Vocabulary
    Agriculture & Rural Development FAO
    Food (production, crisis) FAO
    Migration & Remittances FAO
    Health FAO
    Aid effectiveness FAO

    Coverage

    Geographic Coverage

    National

    Universe

    All households from the 2014 Sierra Leone Labor Force Survey which provided cell phone numbers.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Statistics Sierra Leone Government of Sierra Leone
    Producers
    Name Role
    Innovations for Poverty Action Technical Assistance
    World Bank Group Technical Assistance
    Funding Agency/Sponsor
    Name Role
    World Bank Group Financial Assistance

    Sampling

    Sampling Procedure

    The sampling frame for the cell phone survey was the Sierra Leone Labor Force Survey (LFS) 2014. The LFS is a nationally representative stratified cluster sample survey conducted in July and August 2014 and includes the oversampling of urban areas. As part of the LFS, a total of 4199 households in 280 enumeration areas were interviewed. Interviewers collected the phone number, if available, for the head of household, and 2,764 households interviewed in the LFS included phone numbers. All available numbers from the LFS were included in the cell phone survey. The phone numbers were reported for 43 percent of rural households and 82 percent of urban households. Those households reporting numbers are unevenly distributed across the sample though there is at least partial coverage in all districts, ranging from 93 percent in Freetown (Western urban) to 30 percent in Kailahun district.

    Response Rate

    Overall, the response rate was higher than expected given the nature of the survey and the difficult conditions under which it was conducted. In Sierra Leone, of the 4,199 households interviewed in the LFS, 65.8 percent (2,764 households) recorded a cell phone number for the household head, and, of those, 80.0 percent responded to at least one round of the cell phone survey. The unweighted sample was 59.1 percent urban (2,483 households) and 40.9 percent rural (1,716 households). Of urban households, 81.4 percent (2,021 households) listed a cell phone number for the household head, and, of those, 88.1 percent (1,780 households) responded in at least one of the three rounds of the cell phone survey. Of rural households, 43.1 percent (740 households) listed a cell phone number for the household head, and, of those, 58.1 percent (430 households) responded in at least one of the three rounds.

    Weighting

    The base weights for the cell phone survey were the probability weights from the Labor Force Survey (LFS). Sampling weights for the LFS households were calculated by,

    Household weight = 1/(PEA, strata * PHH,EA)

    where PEA, strata is probability of EA being selected within strata, and, PHH,EA is probability of household being selected within the EA.

    To account for higher likelihood of more populated EA's being selected, PEA, strata is calculated as,

    PEA, strata = (nEA, strata * NHH, EA) /NHH, strara

    where nEA, strata is number of EA's selected within the strata, NHH,EA is the total number of households within that EA, and, NHH, strara is total number of households across all EAs in that strata.

    Household selection probability was calculated using,

    PHH,EA = nHH, EA /NHH,EA

    To compensate as much as possible for non-response and low coverage rates, an attrition adjustment was applied. A propensity score adjustment, which uses the available characteristics of the household head from the LFS (age, gender, location, and employment sector) to calculate an aggregate probability of response, was calculated. These calculations need to be done separately for each combination of data sets, meaning the attrition calculations between the LFS and round 1 would be different than those between the LFS and round 2, which would also be different than those between the LFS and households that answered in both rounds 1 and 2. As an example the results of this analysis between the LFS and round 1 of the cell phone survey are presented in Table A1 in the appendix of the Basic Information Document. The inverse of this probability is then applied to the probability weights, therefore increasing the weight for underrepresented groups. As a final step, a post-stratification correction was applied, adjusting the weights to match known population totals at the district and urban/rural levels.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2014-11-12 2014-11-25 Round 1
    2015-01-22 2015-02-04 Round 2
    2015-05-01 2015-05-12 Round 3

    Data processing

    Data Editing

    The datasets were cleaned and compiled by teams from Innovations for Poverty Action and the World Bank's Poverty Global Practice and Social Protection and Labor Global Practice.

    Data Access

    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes https://microdata.worldbank.org/index.php/terms-of-use
    Access conditions

    https://microdata.worldbank.org/index.php/terms-of-use

    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:
    Statistics Sierra Leone. Sierra Leone High Frequency Cell Phone Survey on the Socio-Economic Impacts of Ebola 2014-2015, Ref. SLE_2014-2015_HFCPS_v01_M. Dataset downloaded from [URL] 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

    Contacts

    Contacts
    Name Affiliation Email
    Kristen Himelein Kastelic Poverty Global Practive, World Bank [email protected]
    Nina Rosas Raffo Social Protection and Labor Global Practice, World Bank [email protected]

    Metadata production

    DDI Document ID

    DDI_SLE_2014-2015_HFCPS_v01_EN_M_v01_A_OCS_FAO

    Producers
    Name Affiliation Role
    Office of Chief Statistician Food and Agriculture Organization Adoption of metadata
    Development Data Group The World Bank Documentation of the DDI

    Metadata version

    DDI Document version

    SLE_2014-2015_HFCPS_v01_EN_M_v01_A_OCS_v01

    Back to Catalog
    Food and Agriculture Organization of the United Nations

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