Living Standards Survey IV 1998-1999 - World Bank SHIP Harmonized Dataset
Ghana, 1998 - 1999
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
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Identification
Survey ID Number
GHA_1998_GLSS_v01_M_v01_A_SHIP
Title
Living Standards Survey IV 1998-1999 - 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.
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
- 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
- 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
SAMPLE DESIGN FOR ROUND 4 OF THE GLSS
A nationally representative sample of households was selected in order to achieve the survey objectives.
Sample Frame
For the purposes of this survey the list of the 1984 population census Enumeration Areas (EAs) with population and household information was used as the sampling frame. The primary sampling units were the 1984 EAs with the secondary units being the households in the EAs. This frame, though quite old, was considered inadequate, it being the best available at the time. Indeed, this frame was used for the earlier rounds of the GLSS.
Stratification
In order to increase precision and reliability of the estimates, the technique of stratification was employed in the sample design, using geographical factors, ecological zones and location of residence as the main controls. Specifically, the EAs were first stratified according to the three ecological zones namely; Coastal, Forest and Savannah, and then within each zone further stratification was done based on the size of the locality into rural or urban.
SAMPLE SELECTION
EAs
A two-stage sample was selected for the survey. At the first stage, 300 EAs were selected using systematic sampling with probability proportional to size method (PPS) where the size measure is the 1984 number of households in the EA. This was achieved by ordering the list of EAs with their sizes according to the strata. The size column was then cumulated, and with a random start and a fixed interval the sample EAs were selected.
It was observed that some of the selected EAs had grown in size over time and therefore needed segmentation. In this connection, such EAs were divided into approximately equal parts, each segment constituting about 200 households. Only one segment was then randomly selected for listing of the households.
Households
At the second stage, a fixed number of 20 households was systematically selected from each selected EA to give a total of 6,000 households. Additional 5 households were selected as reserve to replace missing households. Equal number of households was selected from each EA in order to reflect the labour force focus of the survey.
NOTE: The above sample selection procedure deviated slightly from that used for the earlier rounds of the GLSS, as such the sample is not self-weighting. This is because,
1. given the long period between 1984 and the GLSS 4 fieldwork the number of households in the various EAs are likely to have grown at different rates.
2. the listing exercise was not properly done as some of the selected EAs were not listed completely. Moreover, it was noted that the segmentation done for larger EAs during the listing was a bit arbitrary.
A nationally representative sample of households was selected in order to achieve the survey objectives.
Sample Frame
For the purposes of this survey the list of the 1984 population census Enumeration Areas (EAs) with population and household information was used as the sampling frame. The primary sampling units were the 1984 EAs with the secondary units being the households in the EAs. This frame, though quite old, was considered inadequate, it being the best available at the time. Indeed, this frame was used for the earlier rounds of the GLSS.
Stratification
In order to increase precision and reliability of the estimates, the technique of stratification was employed in the sample design, using geographical factors, ecological zones and location of residence as the main controls. Specifically, the EAs were first stratified according to the three ecological zones namely; Coastal, Forest and Savannah, and then within each zone further stratification was done based on the size of the locality into rural or urban.
SAMPLE SELECTION
EAs
A two-stage sample was selected for the survey. At the first stage, 300 EAs were selected using systematic sampling with probability proportional to size method (PPS) where the size measure is the 1984 number of households in the EA. This was achieved by ordering the list of EAs with their sizes according to the strata. The size column was then cumulated, and with a random start and a fixed interval the sample EAs were selected.
It was observed that some of the selected EAs had grown in size over time and therefore needed segmentation. In this connection, such EAs were divided into approximately equal parts, each segment constituting about 200 households. Only one segment was then randomly selected for listing of the households.
Households
At the second stage, a fixed number of 20 households was systematically selected from each selected EA to give a total of 6,000 households. Additional 5 households were selected as reserve to replace missing households. Equal number of households was selected from each EA in order to reflect the labour force focus of the survey.
NOTE: The above sample selection procedure deviated slightly from that used for the earlier rounds of the GLSS, as such the sample is not self-weighting. This is because,
1. given the long period between 1984 and the GLSS 4 fieldwork the number of households in the various EAs are likely to have grown at different rates.
2. the listing exercise was not properly done as some of the selected EAs were not listed completely. Moreover, it was noted that the segmentation done for larger EAs during the listing was a bit arbitrary.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 1998-04 | 1999-03 |
Data Collection Mode
Face-to-face [f2f]
Data Processing
Other Processing
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.
Access policy
Access authority
| Name | Affiliation | |
|---|---|---|
| Office of the Chief Economist, Africa Region | World Bank | Xye@worldbank.org |
Contacts
| Name | Affiliation | |
|---|---|---|
| Office of the Chief Economist, Africa Region | World Bank | Xye@worldbank.org |
| Office of the Chief Economist, Africa Region | World Bank | Sshome@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
- 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.
Metadata production
DDI Document ID
DDI_GHA_1998_GLSS_v01_M_v01_A_SHIP
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of the Chief Economist, Africa Region | AFRCE | World Bank | Produce and document SHIP data |
Date of Metadata Production
2012-06-18
DDI Document version
Version 01 (June 2012)