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Living Standards Survey III 1991-1992 - World Bank SHIP Harmonized Dataset

Ghana, 1991 - 1992
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Reference ID
GHA_1991_GLSS_v01_M_v01_A_SHIP
Producer(s)
Ghana Statistical Service (GSS)
Metadata
DDI/XML JSON
Created on
Dec 20, 2012
Last modified
Mar 29, 2019
Page views
41188
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  • Study Description
  • Data Dictionary
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    GHA_1991_GLSS_v01_M_v01_A_SHIP

    Title

    Living Standards Survey III 1991-1992 - World Bank SHIP Harmonized Dataset

    Country
    Name Country code
    Ghana GHA
    Study type

    Living Standards Measurement Study [hh/lsms]

    Abstract

    Survey based Harmonized Indicators (SHIP) files are harmonized data files from household surveys that are conducted by countries in Africa. To ensure the quality and transparency of the data, it is critical to document the procedures of compiling consumption aggregation and other indicators so that the results can be duplicated with ease. This process enables consistency and continuity that make temporal and cross-country comparisons consistent and more reliable.

    Four harmonized data files are prepared for each survey to generate a set of harmonized variables that have the same variable names. Invariably, in each survey, questions are asked in a slightly different way, which poses challenges on consistent definition of harmonized variables. The harmonized household survey data present the best available variables with harmonized definitions, but not identical variables. The four harmonized data files are

    a) Individual level file (Labor force indicators in a separate file): This file has information on basic characteristics of individuals such as age and sex, literacy, education, health, anthropometry and child survival.
    b) Labor force file: This file has information on labor force including employment/unemployment, earnings, sectors of employment, etc.
    c) Household level file: This file has information on household expenditure, household head characteristics (age and sex, level of education, employment), housing amenities, assets, and access to infrastructure and services.
    d) Household Expenditure file: This file has consumption/expenditure aggregates by consumption groups according to Purpose (COICOP) of Household Consumption of the UN.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis
    • Individual level for datasets with suffix _I and _L
    • Household level for datasets with suffix _H and _E

    Version

    Version Description

    The SHIP datasets contains harmonized variables, produced by Africa Region, Office of the Chief Economist (AFRCE) based on the raw data from houshold surveys conducted in African countries.

    Version Date

    2012-06-18

    Version Notes

    The data provided by the National Statistical Office is harmonized across countries and across time using a standard SHIP methodology.

    Scope

    Notes

    The scope of the SHIP files includes:

    • INDIVIDUAL: Information on
      • Individual characteristics
      • Education
      • Health
      • Child anthropometry and vaccination
    • LABOR: Information on
      • Vocational training
      • Employment and time use
    • HOUSEHOLD: Information on
      • Characteristics of household head
      • Household characteristics and access to services
      • Ownership of durable and non-durable goods
      • Household income and remittances
    • EXPENDITURE: Informaion on annual household expenditures

    Coverage

    Geographic Coverage

    National

    Universe

    The survey covered all de jure household members (usual residents).

    Producers and sponsors

    Primary investigators
    Name
    Ghana Statistical Service (GSS)
    Producers
    Name Affiliation Role
    Office of the Chief Economist - Africa Region World Bank Data Harmonization

    Sampling

    Sampling Procedure

    A multi-stage sampling technique was used in selecting the GLSS sample. Initially, 4565 households were selected for GLSS3, spread around the country in 407 small clusters; in general, 15 households were taken in an urban cluster and 10 households in a rural cluster. The actual achieved sample was 4552 households. Because of the sample design used, and the very high response rate achieved, the sample can be considered as being selfweighting, though in the case of expenditure data weighting of the expenditure values is required.

    Data collection

    Dates of Data Collection
    Start End
    1991-09 1992-09

    Data Access

    Access authority
    Name Affiliation Email
    Office of the Chief Economist, Africa Region World Bank Xye@worldbank.org
    Citation requirements

    Use of the dataset must be acknowledged using a citation which would include:

    • the Identification of the Primary Investigator
    • the Identification of the SHIP Harmonized Dataset producer
    • the title of the survey (including country, acronym and year of implementation)
    • the survey reference number
    • the source and date of download

    Disclaimer and copyrights

    Disclaimer

    The user of the data acknowledges that the original collector of the data, the producer of the SHIP Harmonized Dataset, 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
    Office of the Chief Economist, Africa Region World Bank Xye@worldbank.org
    Office of the Chief Economist, Africa Region World Bank Sshome@worldbank.org

    Metadata production

    DDI Document ID

    DDI_GHA_1991_GLSS_v01_M_v01_A_SHIP

    Producers
    Name Affiliation Role
    Office of the Chief Economist, Africa Region World Bank Produce and document SHIP data
    Date of Metadata Production

    2012-06-18

    Metadata version

    DDI Document version

    Version 01 (June 2012)

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