EGY_2008_HIECS_v01_M
Household Income, Expenditure, and Consumption Survey 2008
Name | Country code |
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Egypt, Arab Rep. | EGY |
Income/Expenditure/Household Survey [hh/ies]
This series of Egypt Household, Income, Expenditure, and Consumption Surveys (HIECS) was started in 1955. Ten subsequent surveys have been conducted since then in the following years: 1958, 1964, 1974, 1981, 1990, 1995, 1999, 2004, 2008, and 2010.
The Household Income, Expenditure and Consumption Survey (HIECS) is of great importance among other household surveys conducted by statistical agencies in various countries around the world. This survey provides a large amount of data to rely on in measuring the living standards of households and individuals, as well as establishing databases that serve in measuring poverty, designing social assistance programs, and providing necessary weights to compile consumer price indices, considered to be an important indicator to assess inflation.
The survey's main objectives are:
Sample survey data [ssd]
2013-03
Household: geographic, social, and economic characteristics of households
Individual: demographic, education, labor and health characteristics, as well as annual income for household members identified as earners.
Topic | Vocabulary |
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Poverty | ERF |
Expenditure | ERF |
Income | ERF |
Infrastructure | ERF |
Education | ERF |
Labor | ERF |
Health | ERF |
Covering a sample of urban and rural areas in all the governorates.
The survey covered a national sample of households and all individuals permanently residing in surveyed households.
Name | Affiliation |
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Central Agency for Public Mobilization & Statistics | Egypt, Arab Rep. |
Name |
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Economic Research Forum |
Name | Role |
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Arab Republic of Egypt | Funded the study |
The 2008/2009 HIECS is a two-stage stratified cluster sample, approximately self-weighted, of nearly 48000 household in urban and rural areas. The main elements of the sampling design are described below.
Sample Size: It has been deemed important to retain the same sample size of the previous two HIECS rounds. Thus, a sample of about 48000 households has been considered. The justification of maintaining the sample size at this level is to have estimates with levels of precision similar to those of the previous two rounds: therefore trend analysis with the previous two surveys will not be distorted by substantial changes in sampling errors from round to another. In addition, this relatively large national sample implies proportional samples of reasonable sizes for smaller governorates. Nonetheless, oversampling has been introduced to raise the sample size of small governorates to about 1000 households. As a result, reasonably precise estimates could be extracted for those governorates. The oversampling has resulted in a slight increase in the national sample to 48658 households.
Cluster size: An important lesson learned from the previous two HIECS rounds is that the cluster size applied in both surveys is found to be too large to yield an accepted design effect estimates. The cluster size was 40 households in the 2004-2005 round, descending from 80 households in the 1999-2000 round. The estimates of the design effect (deft) for most survey measures of the latest round were extraordinary large. As a result, the cluster size was decreased to only 19 households (20 households in urban governorates to account for anticipated non-response in those governorate. In view of past experience non-response is almost nil in rural governorates).
A more detailed description of the different sampling stages and allocation of sample across governorates is provided in the Methodology document that is provided as an external resources in both Arabic and English.
For the total sample, the response rate was 96.3% (93.95% in urban areas and 98.4% in rural areas).
In order for the sample estimates for the HIECS to be representative of the population, it is necessary to multiply the data by a sampling weight, or expansion factor. The basic weight for each sample household would be equal to the inverse of its probability of selection (calculated by multiplying the probabilities at each sampling stage). The HIECS sample is approximately self weighting at national level and strictly self-weighting at the governorate level, it should be easy to attach a weight to each sample household record in the computer files, and the tabulation programs can weight the data automatically. The sampling probabilities at each stage of selection will be maintained in an Excel spreadsheet so that the overall probability and corresponding weight can be calculated for each sample cluster.
The procedures for calculating the weights and variances are described in details in the methodology technical document attached to the documentation materials published in both Arabic and English.
Three different questionnaires were used:
1- Expenditure and consumption questionnaire
2- Diary questionnaire for expenditure and consumption
3- Income questionnaire
Start | End |
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2008-04-01 | 2009-03-30 |
Name | Affiliation |
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Central Agency For Public Mobilization & Statistics | Egypt, Arab Rep. |
Supervisors were responsible for financial and technical aspects of all the survey stages especially:
The survey period of the 2008-2009 HIECS extended over 12 month-period, starting from April 2008 and ending in March 2009. Households were observed for two continuous weeks only, to collect information on food expenditure, instead of one month as was followed in the previous rounds of the HIECS. The observation period was shortened in this HIECS round to lighten the respondent burden and thus encourage more cooperation.
Harmonized Data
The sampling error of major survey estimates has been derived using the Ultimate Cluster Method as applied in the CENVAR Module of the Integrated Microcomputer Processing System (IMPS) Package. In addition to the estimate of sampling error, the output includes estimates of coefficient of variation, design effect (DEFF) and 95% confidence intervals.
The precision of survey results depends to a large extent on how the survey has been prepared for. As such, it was deemed crucial to exert much effort and to take necessary actions towards rigorous preparation for the present survey. The preparatory activities, extended over 3 months, included forming Technical Committee. The Committee has set up the general framework of survey implementation such as:
1- Applying the recent international recommendations of different concepts and definitions of income and expenditure considering maintaining the consistency with the previous surveys in order to compare and study the changes in pertinent indicators.
2- Evaluating the quality of data in all different Implementation stages to avoid or minimize errors to the lowest extent possible through:
Use of the dataset must be acknowledged using a citation which would include:
Example:
Central Agency for Public Mobilization & Statistics and Economic Research Forum. Egypt Household Income, Expenditure and Consumption Survey (HIECS) 2008. Ref. EGY_2008_HIECS_v01_M. Dataset downloaded from [url] on [date].
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.
(c) 2013, Economic Research Forum | (c) 2009, CAPMAS
Name | URL | |
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Economic Research Forum (ERF) | erfdataportal@erf.org.eg | www.erf.org.eg |
DDI_EGY_2008_HIECS_v01_M
Name | Affiliation | Role |
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Economic Research Forum | Cleaning and Harmonizing raw data received from the Statistical Office | |
Development Economics Data Group | The World Bank | Revision of the DDI |
2013-03
Version 02 (May 2015). The original DDI (EGY_HIECS_2008_HD_V2.0) was downloaded from Economic Research Forum (ERF) Catalog (http://www.erfdataportal.com/index.php/catalog) on December 2014.