Household Socio-Economic Survey, IHSES 2012
Iraq, 2012 - 2013
Economic Research Forum, Central Statistical Organization (CSO), Kurdistan Regional Statistics Office (KRSO)
Identification
Survey ID Number
IRQ_IHSES_2012_HD_V2.0
Title
Household Socio-Economic Survey, IHSES 2012
Country
| Name | Country code |
|---|---|
| Iraq | IRQ |
Study type
Income/Expenditure/Household Survey [hh/ies]
Series Information
Iraq is considered a leader in household expenditure and income surveys where the first was conducted in 1946 followed by surveys in 1954 and 1961. After the establishment of Central Statistical Organization, household expenditure and income surveys were carried out every 3-5 years in (1971/ 1972, 1976, 1979, 1984/ 1985, 1988, 1993, 2002/2007).
Implementing the cooperation between CSO and WB, Central Statistical Organization (CSO) and Kurdistan Region Statistics Office (KRSO) launched fieldwork on IHSES on 1/1/2012 .
Implementing the cooperation between CSO and WB, Central Statistical Organization (CSO) and Kurdistan Region Statistics Office (KRSO) launched fieldwork on IHSES on 1/1/2012 .
Abstract
THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL ORGANIZATION FOR STATISTICS (COS)
The Iraq household socio-economic survey (IHSES) is considered as one of the most important sources that provide statistical data on family spending and income as well as other data on the status of housing and characteristics of individuals, the family and living conditions.
IHSES 2012 is the second Household Socio-Economic Survey done in the country. The first was done in 2007. The IHSES 2012 is not a panel survey.
Proceeding from the principle of cooperation and support provided by the World Bank, the Central Organization for Statistics in cooperation with Kurdistan Region Statistics Organization carried out a socio- economic survey of Iraqi families in 2007 which lasted a full calendar year. The current survey aims to update the data of the mentioned survey and to provide additional data.
Implementing the cooperation between CSO and WB, Central Statistical Organization (CSO) and Kurdistan Region Statistics Office (KRSO) launched fieldwork on IHSES on 1/1/2012. The Iraq Household Socio-Economic Survey was carried out over a full year covering all governorates including those in Kurdistan Region.
Iraqi side prepared the field work implementation plan and mechanism, contributed to questionnaire and sample design, selected the households, prepared and trained field staff, updated lists and maps, field work implementation, data entry and results generation while World Bank provided technical assistance, defined project objectives and designed the questionnaire and outputs tables.
----> Objectives
1. Provide data for poverty analysis and measurement and monitor, evaluate and update the implementation Poverty Reduction National Strategy issued in 2009.
2. Provide comprehensive data system to assess household social and economic conditions and prepare the indicators related to the human development.
3. Provide data that meet the needs and requirements of national accounts.
4. Provide detailed indicators on consumption expenditure that serve making decision related to production, consumption, export and import.
5. Provide detailed indicators on the sources of households and individuals income.
6. Provide data necessary for formulation of a new consumer price index number.
The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing household surveys in several Arab countries.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
1- Household/family.
2- Individual/person.
2- Individual/person.
Version
Version Description
V1.0: A cleaned and a harmonized version of the survey dataset, produced by the Economic Research Forum for dissemination.
V2.0: A cleaned and a harmonized version of the survey dataset, including all variables in V1.0 in addition to a number of new/detailed-composite coded version of the variables considered essential on the household as well as the individual level, produced by the Economic Research Forum for dissemination.
V2.0: A cleaned and a harmonized version of the survey dataset, including all variables in V1.0 in addition to a number of new/detailed-composite coded version of the variables considered essential on the household as well as the individual level, produced by the Economic Research Forum for dissemination.
Production
Date
2016-11
Version Notes
All documentation available for the original survey provided by the Statistical Agency, and for the harmonized datasets produced by the Economic Research Forum, has been published, along with a copy of all international classifications of expenditures, occupations and economic activities used during the harmonization process.
However, as far as the datasets are concerned, the Economic Research Forum produces and releases only the harmonized versions in both SPSS and STATA formats.
However, as far as the datasets are concerned, the Economic Research Forum produces and releases only the harmonized versions in both SPSS and STATA formats.
Scope
Notes
Household: Includes geographic, social, and economic characteristics of households, namely, household composition, dwelling characteristics, ownership of assets indicators, heads' and spouses' characteristics, annual household expenditure and income.
Individual: Includes demographic, migration, education, labor and health characteristics, as well as annual income for household members identified as earners. Moreover, fathers' and mothers' characteristics are generated for household members if possible.
Individual: Includes demographic, migration, education, labor and health characteristics, as well as annual income for household members identified as earners. Moreover, fathers' and mothers' characteristics are generated for household members if possible.
Topics
| Topic | Vocabulary |
|---|---|
| Poverty | ERF |
| Expenditure | ERF |
| Income | ERF |
| Infrastructure | ERF |
| Education | ERF |
| Labor | ERF |
| Health | ERF |
Coverage
Geographic Coverage
National coverage: Covering a sample of urban, rural and metropolitan areas in all the governorates including those in Kurdistan Region.
Universe
The survey covered a national sample of households and all individuals permanently residing in surveyed households.
Producers and sponsors
Primary investigators
| Name |
|---|
| Economic Research Forum |
| Central Statistical Organization (CSO) |
| Kurdistan Regional Statistics Office (KRSO) |
Producers
| Name |
|---|
| World Bank |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| World Bank | WB |
Sampling
Sampling Procedure
THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL ORGANIZATION FOR STATISTICS (COS)
Learning from past and international experience on survey design, implementation and sampling, IHSES 2012 also incorporated additional modules on areas of evolving interest. It is the most comprehensive socio-economic survey as yet undertaken in Iraq.
----> Sample size and strata
The IHSES intends to provide estimators of comparable quality for each of Iraq's 118 gadahs (districts). This implies that the sample should be explicitly stratified by gadah, with a similar sample size allocated to each gadah, regardless of its size. A sample size of 216 households per gadah is proposed, 2832 clusters each of which includes 9 households distributed on districts and governorates for rural and urban, equivalent to a total sample of 25,488 households for the country.
----> Sample frame
Listing and numbering results of 2009-2010 Population and Housing Survey were adopted in all the governorates including Kurdistan Region as a frame to select households, the sample was selected in two stages:
Stage 1: Primary sampling unit (blocks) within each stratum (district) for urban and rural were systematically selected with probability proportional to size to reach 2832 units (cluster).
Stage 2: 9 households from each primary sampling unit were selected to create a cluster, thus the sample size of total survey clusters was 25488 households distributed on the governorates, 216 households in each district.
----> Sampling Stages
In each district, the sample was selected in two stages:
Stage 1: based on 2010 listing and numbering frame 24 sample points were selected within each stratum through systematic sampling with probability proportional to size, in addition to the implicit breakdown urban and rural and geographic breakdown (sub-district, quarter, street, county, village and block).
Stage 2: Using households as secondary sampling units, 9 households were selected from each sample point using systematic equal probability sampling.
Sampling frames of each stages can be developed based on 2010 building listing and numbering without updating household lists. In some small districts, random selection processes of primary sampling may lead to select less than 24 units therefore a sampling unit is selected more than once, the selection may reach two cluster or more from the same enumeration unit when it is necessary.
Response Rate
The IHSES reached a total of 25,488 households. Number of households refused to response was 305, response rate was 98.6%. The highest interview rates were in Ninevah and Muthanna (100%) while the lowest rates were in Sulaimaniya (92%).
Weighting
----> Sampling weights and selection probability
The selection probability (Phij) of household (hij) in PSU (hi) of stratum (h) is given by
Where (nhi) indicates the number of households in (PSU)and (Nh) indicates the number of households in stratum. The two symbols are mentioned in the right side of the formula and represent the probability of PSU selection and conditional probability for household selection within PSU.
The formula can be simplified as follows:
(Phij = 216 / Nh)
This formula is given an equal probability to select 216 households as a sample in each district, it simplifies the process of results analysis where sample is auto-weighted to analyze results at district level whereas survey results analysis at governorate and national level requires the appropriate probability processes.
The selection probability (Phij) of household (hij) in PSU (hi) of stratum (h) is given by
Where (nhi) indicates the number of households in (PSU)and (Nh) indicates the number of households in stratum. The two symbols are mentioned in the right side of the formula and represent the probability of PSU selection and conditional probability for household selection within PSU.
The formula can be simplified as follows:
(Phij = 216 / Nh)
This formula is given an equal probability to select 216 households as a sample in each district, it simplifies the process of results analysis where sample is auto-weighted to analyze results at district level whereas survey results analysis at governorate and national level requires the appropriate probability processes.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2012-01-16 | 2013-01-12 | - |
Data Collection Mode
Face-to-face [f2f]
Data Collection Notes
----> Reference Period
The field work of the first wave started on 16/1/2012 and continued for 15 days distributed on 10 days for field work and 3 for office work. The 1 year reference period for the survey was broken down into (24) waves the work carried out during each wave continued for 15 days. Field staff was organized into teams that each consisted of 3 interviewers and a local supervisor . The survey used 68 teams were distributed by districts in each governorate.
----> Fieldwork organization
The IHSES fieldworkers will be organized into teams of three interviewers, headed by a supervisor. Each team is responsible for two gadahs (48 clusters) throughout the full 12-month period of data collection.
The team's work plan requires visiting four clusters per month -two from each gadah, as show in Figure 1 below. The month is divided into two waves. In Wave 1 (days 1 to 14), the team visits two clusters from one of the gadahs, and in Wave 2 (days 15 to 29)1, the two clusters from the other gadah.
In each wave, the team will move between clusters (but not between gadahs) on a daily basis, visiting one of the clusters on odd-numbered days, and the other cluster on even-numbered days.
Each interviewer will be responsible for three households, and will visit each of them every other day five times, with the following task schedule:
* In the first visit, the interviewer will complete sections 1 to 3 and 24, deliver the food consumption diaries and explain their use.
* In the second visit, s/he will transfer the data from the first day of diary-keeping to Section 12, and complete sections 4 to 8.
* In the third visit, s/he will transfer the data from the second and third day of diary-keeping to Section 12, and complete sections 9 to 11.
* On the fourth visit, s/he will transfer the data from the fourth and fifth day of diary-keeping to Section 12, and complete sections 13 to 16.
* On the fifth visit, s/he will complete sections 17 to 23.
After the last scheduled visit, the interviewer will conduct as many additional check-up visits as needed, to correct any doubts or inconsistencies in the data that might have been detected by the IHSES data entry program in any of the previous visits.
Each interviewer will use a dedicated laptop computer to enter the data from his three households on a daily basis, meaning that the correction of doubts and inconsistencies won't need to be postponed till the final days of the wave in many cases. In other words, error correction will also be a complement of the data-collection tasks scheduled for the second to fifth visits.
----> Training
World Bank carried out a 6-day workshop for main trainees in Beirut at the end of July 2011. In the Central Statistical Organization a training course also carried out in September (10-15) attended by central supervision team and governorates coordinators whereas Kurdistan Region Statistics Office carried out a training course in September (12-15) in Erbil Statistics Directorate attended by statistics directors in KR governorates and survey cadre.
At the beginning of October 2011 a 7- day second workshop was organized by the WB in Beirut to set the survey timetables and train trainers. In 3/12/2012, training and preparing IHESE field staff were launched in 7 training centers in (Ninevah, Kirkuk, Anbar, Baghdad, Wasit, Babil, Basrah ). In 20/12/2012 three training centers were opened in Erbil, Sulaimaniya and Duhouk where training courses were carried out for the 18 governorates field staff. The courses continued for 23 days of which 5 days were allocated for applied training in selected urban and rural areas of different social and economic levels.
The field work of the first wave started on 16/1/2012 and continued for 15 days distributed on 10 days for field work and 3 for office work. The 1 year reference period for the survey was broken down into (24) waves the work carried out during each wave continued for 15 days. Field staff was organized into teams that each consisted of 3 interviewers and a local supervisor . The survey used 68 teams were distributed by districts in each governorate.
----> Fieldwork organization
The IHSES fieldworkers will be organized into teams of three interviewers, headed by a supervisor. Each team is responsible for two gadahs (48 clusters) throughout the full 12-month period of data collection.
The team's work plan requires visiting four clusters per month -two from each gadah, as show in Figure 1 below. The month is divided into two waves. In Wave 1 (days 1 to 14), the team visits two clusters from one of the gadahs, and in Wave 2 (days 15 to 29)1, the two clusters from the other gadah.
In each wave, the team will move between clusters (but not between gadahs) on a daily basis, visiting one of the clusters on odd-numbered days, and the other cluster on even-numbered days.
Each interviewer will be responsible for three households, and will visit each of them every other day five times, with the following task schedule:
* In the first visit, the interviewer will complete sections 1 to 3 and 24, deliver the food consumption diaries and explain their use.
* In the second visit, s/he will transfer the data from the first day of diary-keeping to Section 12, and complete sections 4 to 8.
* In the third visit, s/he will transfer the data from the second and third day of diary-keeping to Section 12, and complete sections 9 to 11.
* On the fourth visit, s/he will transfer the data from the fourth and fifth day of diary-keeping to Section 12, and complete sections 13 to 16.
* On the fifth visit, s/he will complete sections 17 to 23.
After the last scheduled visit, the interviewer will conduct as many additional check-up visits as needed, to correct any doubts or inconsistencies in the data that might have been detected by the IHSES data entry program in any of the previous visits.
Each interviewer will use a dedicated laptop computer to enter the data from his three households on a daily basis, meaning that the correction of doubts and inconsistencies won't need to be postponed till the final days of the wave in many cases. In other words, error correction will also be a complement of the data-collection tasks scheduled for the second to fifth visits.
----> Training
World Bank carried out a 6-day workshop for main trainees in Beirut at the end of July 2011. In the Central Statistical Organization a training course also carried out in September (10-15) attended by central supervision team and governorates coordinators whereas Kurdistan Region Statistics Office carried out a training course in September (12-15) in Erbil Statistics Directorate attended by statistics directors in KR governorates and survey cadre.
At the beginning of October 2011 a 7- day second workshop was organized by the WB in Beirut to set the survey timetables and train trainers. In 3/12/2012, training and preparing IHESE field staff were launched in 7 training centers in (Ninevah, Kirkuk, Anbar, Baghdad, Wasit, Babil, Basrah ). In 20/12/2012 three training centers were opened in Erbil, Sulaimaniya and Duhouk where training courses were carried out for the 18 governorates field staff. The courses continued for 23 days of which 5 days were allocated for applied training in selected urban and rural areas of different social and economic levels.
Data Collectors
| Name | Abbreviation |
|---|---|
| Central Organization for Statistics | COS |
Questionnaires
Questionnaires
----> Preparation
The questionnaire of 2006 survey was adopted in designing the questionnaire of 2012 survey on which many revisions were made. Two rounds of pre-test were carried out. Revision were made based on the feedback of field work team, World Bank consultants and others, other revisions were made before final version was implemented in a pilot survey in September 2011.
After the pilot survey implemented, other revisions were made in based on the challenges and feedbacks emerged during the implementation to implement the final version in the actual survey.
----> Questionnaire Parts
The questionnaire consists of four parts each with several sections:
* Part 1: Socio - Economic Data
- Section 1: Household Roster
- Section 2: Emigration
- Section 3: Food Rations
- Section 4: Housing
- Section 5: Education
- Section 6: Health
- Section 7: Physical measurements
- Section 8: Job seeking and previous job
* Part 2: Monthly, Quarterly and Annual Expenditures
- Section 9: Expenditures on Non-food Commodities and Services (past 30 days).
- Section 10: Expenditures on Non-food Commodities and Services (past 90 days).
- section 11: Expenditures on Non-food Commodities and Services (past 12 months).
- Section 12: Expenditures on Non-food Frequent Food Stuff and Commodities (7 days).
- Section 12: Table 1: Meals Had Within the Residential Unit.
- Section 12: table 2: Number of Persons Participate in the Meals Within Household Expenditure Other Than its Members.
* Part 3: Income and Other Data
- Section 13: Job
- Section 14: Paid jobs
- Section 15: Agriculture, forestry and fishing
- Section 16: Household non - agricultural projects
- Section 17: Income from ownership and transfers
- Section 18: Durable goods
- Section 19: Loans, advances and subsidies
- Section 20: Shocks and strategy of dealing in the households
- Section 21: Time use
- Section 22: Justice
- Section 23: Satisfaction in life
- Section 24: Food consumption during past 7 days
* Part 4: Diary of Daily Expenditures
Diary of expenditure is an essential component of this survey. It is left at the household to record all the daily purchases such as expenditures on food and frequent non-food items such as gasoline, newspapers, … etc. during 7 days. Two pages were allocated for recording the expenditures of each day, thus the roster will be consisting of 14 pages.
The questionnaire of 2006 survey was adopted in designing the questionnaire of 2012 survey on which many revisions were made. Two rounds of pre-test were carried out. Revision were made based on the feedback of field work team, World Bank consultants and others, other revisions were made before final version was implemented in a pilot survey in September 2011.
After the pilot survey implemented, other revisions were made in based on the challenges and feedbacks emerged during the implementation to implement the final version in the actual survey.
----> Questionnaire Parts
The questionnaire consists of four parts each with several sections:
* Part 1: Socio - Economic Data
- Section 1: Household Roster
- Section 2: Emigration
- Section 3: Food Rations
- Section 4: Housing
- Section 5: Education
- Section 6: Health
- Section 7: Physical measurements
- Section 8: Job seeking and previous job
* Part 2: Monthly, Quarterly and Annual Expenditures
- Section 9: Expenditures on Non-food Commodities and Services (past 30 days).
- Section 10: Expenditures on Non-food Commodities and Services (past 90 days).
- section 11: Expenditures on Non-food Commodities and Services (past 12 months).
- Section 12: Expenditures on Non-food Frequent Food Stuff and Commodities (7 days).
- Section 12: Table 1: Meals Had Within the Residential Unit.
- Section 12: table 2: Number of Persons Participate in the Meals Within Household Expenditure Other Than its Members.
* Part 3: Income and Other Data
- Section 13: Job
- Section 14: Paid jobs
- Section 15: Agriculture, forestry and fishing
- Section 16: Household non - agricultural projects
- Section 17: Income from ownership and transfers
- Section 18: Durable goods
- Section 19: Loans, advances and subsidies
- Section 20: Shocks and strategy of dealing in the households
- Section 21: Time use
- Section 22: Justice
- Section 23: Satisfaction in life
- Section 24: Food consumption during past 7 days
* Part 4: Diary of Daily Expenditures
Diary of expenditure is an essential component of this survey. It is left at the household to record all the daily purchases such as expenditures on food and frequent non-food items such as gasoline, newspapers, … etc. during 7 days. Two pages were allocated for recording the expenditures of each day, thus the roster will be consisting of 14 pages.
Data Processing
Data Editing
----> Data Entry
Survey administration in cooperation with the World Bank consultants prepared a new plan for data entry and assigned number of IT staff in CSO to follow-up data entry process in the governorates. Data daily collected by the interviewer were entered by using a new and advanced method, namely Excel program screens. It also provided each interviewer with a lap top to enter data collected
from the households to be sent to the data management center via internet.
----> Data Editing and Processing
To ensure accuracy and consistency, the data were edited at the following stages:
1. Interviewer: Checks all answers on the household questionnaire, confirming that they are clear and correct.
2. Local Supervisor: Checks to make sure that questions have been correctly completed.
3. Statistical analysis: After exporting data files from excel to SPSS, the Statistical Analysis Unit uses program commands to identify irregular or non-logical values in addition to auditing some variables.
4. World Bank consultants in coordination with the CSO data management team: The World Bank technical consultants use additional programs in SPSS and STAT to examine and correct remaining inconsistencies within the data files. The software detects errors by analyzing questionnaire items per the expected parameter for each variable.
Survey administration in cooperation with the World Bank consultants prepared a new plan for data entry and assigned number of IT staff in CSO to follow-up data entry process in the governorates. Data daily collected by the interviewer were entered by using a new and advanced method, namely Excel program screens. It also provided each interviewer with a lap top to enter data collected
from the households to be sent to the data management center via internet.
----> Data Editing and Processing
To ensure accuracy and consistency, the data were edited at the following stages:
1. Interviewer: Checks all answers on the household questionnaire, confirming that they are clear and correct.
2. Local Supervisor: Checks to make sure that questions have been correctly completed.
3. Statistical analysis: After exporting data files from excel to SPSS, the Statistical Analysis Unit uses program commands to identify irregular or non-logical values in addition to auditing some variables.
4. World Bank consultants in coordination with the CSO data management team: The World Bank technical consultants use additional programs in SPSS and STAT to examine and correct remaining inconsistencies within the data files. The software detects errors by analyzing questionnaire items per the expected parameter for each variable.
Other Processing
----> Quality assurance
The IHSES will put in operation the same quality assurance methods successfully implemented by the IHSES-I five years ago: visual scrutiny of all questionnaires, visual observation of some interviews, random check-up visits of the supervisor, and computer-based quality controls. However, having each interviewer enter his/own data is expected to enhance the impact of computer-based quality controls, and to also have positive externalities on the check-up visits of the supervisor, by way of supporting the effective random selection of the households, as well as the effective random selection of the questions to be asked in these visits (in the IHSES-I -as in most surveys worldwide- the check-up supervision form had a fixed format with which interviewers were very familiar). These enhancements will require that the supervisor has also access to a computer and a printer.
----> Human and material resources
Since each team will be responsible for two gadhas, The survey could in principle be fielded with only 59 teams (118 / 2). However, this would require having some of the teams work in different governorates, which would be administratively difficult. To avoid this, more teams than strictly needed will have to be deployed in the governorates with an odd number of gadahs. Around 65 teams will thus be needed in total, which translates in a workforce of 18 regional coordinators, 65 supervisors, and 195 interviewers with laptops.
----> Subsamples
Most questionnaire modules will be administered to all households. However, in order to reduce some of the fieldwork effort, three of the modules will be administered in subsamples, each composed of three of the nine households visited in each Gadha. The three modules are: Anthropometrics (Section 7), Time use (Section 21), and Food consumption by recall (Section 24).
The IHSES will put in operation the same quality assurance methods successfully implemented by the IHSES-I five years ago: visual scrutiny of all questionnaires, visual observation of some interviews, random check-up visits of the supervisor, and computer-based quality controls. However, having each interviewer enter his/own data is expected to enhance the impact of computer-based quality controls, and to also have positive externalities on the check-up visits of the supervisor, by way of supporting the effective random selection of the households, as well as the effective random selection of the questions to be asked in these visits (in the IHSES-I -as in most surveys worldwide- the check-up supervision form had a fixed format with which interviewers were very familiar). These enhancements will require that the supervisor has also access to a computer and a printer.
----> Human and material resources
Since each team will be responsible for two gadhas, The survey could in principle be fielded with only 59 teams (118 / 2). However, this would require having some of the teams work in different governorates, which would be administratively difficult. To avoid this, more teams than strictly needed will have to be deployed in the governorates with an odd number of gadahs. Around 65 teams will thus be needed in total, which translates in a workforce of 18 regional coordinators, 65 supervisors, and 195 interviewers with laptops.
----> Subsamples
Most questionnaire modules will be administered to all households. However, in order to reduce some of the fieldwork effort, three of the modules will be administered in subsamples, each composed of three of the nine households visited in each Gadha. The three modules are: Anthropometrics (Section 7), Time use (Section 21), and Food consumption by recall (Section 24).
Access policy
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Economic Research Forum | (ERF) | erfdataportal@erf.org.eg | www.erf.org.eg |
Contacts
| Name | URL | |
|---|---|---|
| Economic Research Forum (ERF) - 21 Al-Sad Al-Aaly St., Dokki, Giza, Egypt | erfdataportal@erf.org.eg | www.erf.org.eg |
Confidentiality
To access the micro data, researchers are required to register on the ERF website and comply with the data access agreement.
The data will be used only for scholarly research, or educational purposes. Users are prohibited from using data acquired from the Economic Research Forum in the pursuit of any commercial or private ventures.
Access conditions
Licensed datasets, accessible under conditions.
Citation requirements
The users should cite the Economic Research Forum and the Central Organization for Statistics and Information Technology as follows:
OAMDI, 2016. Harmonized Household Income and Expenditure Surveys (HHIES), http://erf.org.eg/data-portal/. Version 2.0 of Licensed Data Files; IHSES 2012- Central Organization for Statistics (COS). Egypt: Economic Research Forum (ERF).
OAMDI, 2016. Harmonized Household Income and Expenditure Surveys (HHIES), http://erf.org.eg/data-portal/. Version 2.0 of Licensed Data Files; IHSES 2012- Central Organization for Statistics (COS). Egypt: Economic Research Forum (ERF).
Disclaimer and copyrights
Disclaimer
The Economic Research Forum and the Central Organization for Statistics and InformationTechnology have granted the researcher access to relevant data following exhaustive efforts to protect the confidentiality of individual data. The researcher is solely responsible for any analysis or conclusions drawn from available data.
Copyright
(c) 2016, Economic Research Forum | (c) 2012,COS, Iraq
Metadata production
DDI Document ID
IRQ_IHSES_2012_HD_V2.0
Producers
| Name | Abbreviation | Role |
|---|---|---|
| Economic Research Forum | ERF | Cleaning and harmonizing raw data received from the Statistical Agency |
Date of Metadata Production
2016-11
DDI Document version
Version 2.0