{"doc_desc":{"title":"GHA_1991_GLSS_v01_M_v01_A_SHIP","idno":"DDI_GHA_1991_GLSS_v01_M_v01_A_SHIP","producers":[{"name":"Office of the Chief Economist, Africa Region","abbreviation":"AFRCE","affiliation":"World Bank","role":"Produce and document SHIP data"}],"prod_date":"2012-06-18","version_statement":{"version":"Version 01 (June 2012)"}},"study_desc":{"title_statement":{"idno":"GHA_1991_GLSS_v01_M_v01_A_SHIP","title":"Living Standards Survey III 1991-1992 - World Bank SHIP Harmonized Dataset","alt_title":"GLSS 1991-92 (SHIP)"},"authoring_entity":[{"name":"Ghana Statistical Service (GSS)","affiliation":""}],"production_statement":{"producers":[{"name":"Office of the Chief Economist - Africa Region","affiliation":"World Bank","role":"Data Harmonization"}]},"distribution_statement":{"contact":[{"name":"Office of the Chief Economist, Africa Region","affiliation":"World Bank","email":"Xye@worldbank.org","uri":""},{"name":"Office of the Chief Economist, Africa Region","affiliation":"World Bank","email":"Sshome@worldbank.org","uri":""}]},"series_statement":{"series_name":"Living Standards Measurement Study [hh\/lsms]"},"version_statement":{"version":"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."},"study_info":{"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.\n\nFour 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\n\na) 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.\nb) Labor force file: This file has information on labor force including employment\/unemployment, earnings, sectors of employment, etc. \nc) 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.\nd) Household Expenditure file: This file has consumption\/expenditure aggregates by consumption groups according to Purpose (COICOP) of Household Consumption of the UN.","coll_dates":[{"start":"1991-09","end":"1992-09","cycle":""}],"nation":[{"name":"Ghana","abbreviation":"GHA"}],"geog_coverage":"National","analysis_unit":"- Individual level for datasets with suffix _I and _L\n- Household level for datasets with suffix _H and _E","universe":"The survey covered all de jure household members (usual residents).","data_kind":"Sample survey data [ssd]","notes":"The scope of the SHIP files includes:\n\n- INDIVIDUAL: Information on \n   - Individual characteristics\n   - Education\n   - Health\n   - Child anthropometry and vaccination\n- LABOR: Information on \n   - Vocational training\n   - Employment and time use\n- HOUSEHOLD: Information on\n   - Characteristics of household head\n   - Household characteristics and access to services\n   - Ownership of durable and non-durable goods\n   - Household income and remittances\n- EXPENDITURE: Informaion on annual household expenditures"},"method":{"data_collection":{"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.","coll_mode":"Face-to-face [f2f]","method_notes":"Data collected by the survey was harmonized in accordance with the guidelines in the Africa SHIP manual. Program with suffix _I extracts individual level information, _L extracts labor and time use information, _H extracts household information and _E extracts expenditure information."}},"data_access":{"dataset_use":{"contact":[{"name":"Office of the Chief Economist, Africa Region","affiliation":"World Bank","email":"Xye@worldbank.org","uri":""}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the Identification of the SHIP Harmonized Dataset producer\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download","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."}}},"schematype":"survey","tags":[{"tag":"noDOI"}]}