Employment and Unemployment Survey 2011, Economic Research Forum (ERF) Harmonization Data
Jordan, 2011
Get MicrodataIdentification
JOR_2011_EUS_v01_M_v01_A_ERF
Employment and Unemployment Survey 2011, Economic Research Forum (ERF) Harmonization Data
| Name | Country code |
|---|---|
| Jordan | JOR |
Labor Force Survey [hh/lfs]
A quarterly survey collected by the Department of Statistics (DOS) of the Hashemite Kingdom of Jordan.
<p style="border:solid thin black;"> 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 DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN</p>
The Department of Statistics (DOS) carried out four rounds of the 2011 Employment and Unemployment Survey (EUS). The survey rounds covered a total sample of about 52544 thousand households Nation-wide.The sampled households were selected using a stratified multi-stage cluster sampling design. It is noteworthy that the sample represents the national level (Kingdom), governorates, the three Regions (Central, North and South), and the urban/rural areas.
The importance of this survey lies in that it provides a comprehensive data base on employment and unemployment that serves decision makers, researchers as well as other parties concerned with policies related to the organization of the Jordanian labor market.
It is worthy to mention that the DOS employed new technology in data collection and data processing. Data was collected using electronic questionnaire instead of a hard copy, namely a hand held device (PDA).
The survey main objectives are:
- To identify the demographic, social and economic characteristics of the population and manpower.
- To identify the occupational structure and economic activity of the employed persons, as well as their employment status.
- To identify the reasons behind the desire of the employed persons to search for a new or additional job.
- To measure the economic activity participation rates (the number of economically active population divided by the population of 15+ years old).
- To identify the different characteristics of the unemployed persons.
- To measure unemployment rates (the number of unemployed persons divided by the number of economically active population of 15+ years old) according to the various characteristics of the unemployed, and the changes that might take place in this regard.
- To identify the most important ways and means used by the unemployed persons to get a job, in addition to measuring durations of unemployment for such persons.
- To identify the changes overtime that might take place regarding the above-mentioned variables.
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 labor force surveys in several Arab countries.
Sample survey data [ssd]
1- Household/family.
2- Individual/person.
Version
V1.0: A cleaned and a harmonized version of the survey dataset, produced by the Economic Research Forum for dissemination.
2015-04
All documentation available for the original survey provided by the Statistical Agency, and for the harmonized datasets produced by the Economic Research Forum, are published, along with a copy of all occupation and economic activity classifications 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.
Scope
Household: Includes geographical characteristics, household composition, LFS classification of household members, head's and spouse's characteristics, dwelling characteristics and ownership of durables.
Individual: Includes demographics, nationality and immigration, education, current labor status, main job, secondary job and last held job characteristics, wages and incomes, unemployment characteristics and inactivity reason(s).
| Topic | Vocabulary |
|---|---|
| Demographics | ERF |
| Education | ERF |
| Nationality and immigration | ERF |
| Labor Force | ERF |
| Employment | ERF |
| Unemployment | ERF |
| Wages and incomes | ERF |
Coverage
Covering a sample representative on the national level (Kingdom), governorates, the three Regions (Central, North and South), and the urban/rural areas.
The survey covered a national sample of households and all individuals permanently residing in surveyed households.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Economic Research Forum | |
| Department of Statistics | The Hashemite Kingdom of Jordan |
Sampling
<p style="border:solid thin black;"> 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 DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN</p>
Survey Frame
The sample of this survey is based on the frame provided by the data of the Population and Housing Census, 2004. The Kingdom was divided into strata, where each city with a population of 100,000 persons or more was considered as a large city.
The total number of these cities is 6. Each governorate (except for the 6 large cities) was divided into rural and urban areas. The rest of the urban areas in each governorate was considered as an independent stratum. The same was applied to rural areas where it was considered as an independent stratum. The total number of strata was 30.
In view of the existing significant variation in the socio-economic characteristics in large cities in particular and in urban in general, each stratum of the large cities and urban strata was divided into four sub-stratum according to the socio- economic characteristics provided by the population and housing census with the purpose of providing homogeneous strata.
The frame excludes the population living in remote areas (most of whom are nomads), In addition to that, the frame does not include collective dwellings, such as hotels, hospitals, work camps, prisons and alike.
Sample Design
The sample of this survey was designed using the cluster stratified sampling method. It is representative at the Kingdom, rural and urban areas, regions and governorates levels. The Primary Sampling Units (clusters) were distributed to governorates, urban and rural areas and large cities in each governorate according to the weight of persons/households and according to the variance within each stratum. Slight modifications regarding the number of these units were made. The Primary Sampling Units (PSUs) were ordered within each stratum according to geographic characteristics and then according to socio-economic characteristics in order to ensure good spread of the sample. Then, the sample were selected on two stages. In the first stage, the PSUs were selected using the Probability Proportionate to Size with systematic selection procedure. The number of households, in each PSU served as its weight or size. In the second stage, the blocks of the PSUs which were selected in the first stage have been updated. Then a constant number of households was selected, using the random systematic sampling method as final PSUs from each PSU (cluster).
Sampling notes
It is noteworthy that the sample of the present survey does not represent the non-Jordanian population, due to the fact that it is based on households living in conventional dwellings. In other words, it does not cover the collective households living in collective dwellings. Therefore, the non-Jordanian households covered in the present survey are either private households or collective households living in conventional dwellings. In Jordan, it is well known that a large number of non-Jordanian workers live as groups and spend most of their time at workplaces. Hence, it is more unlikely to find them at their residences during daytime (i.e. the time when the data of the survey is collected). Furthermore, most of them live in their workplaces, such as: workshops, sales stores, guard places, or under construction building's sites. Such places are not classified as occupied dwellings for household sampling purposes. Due to all of the above, the coverage of such population would not be complete in household surveys.
Survey instrument
The questionnaire was designed electronically on the PDA and revised by the DOS technical staff. It was finalized upon completion of the training program. The questionnaire is divided into main topics, each containing a clear and consistent group of questions, and designed in a way that facilitates the electronic data entry and verification. The questionnaire includes the characteristics of household members in addition to the identification information, which reflects the administrative as well as the statistical divisions of the Kingdom.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2011 | 2011 | - |
| Name | Affiliation |
|---|---|
| Directorate of Field Work | Department of Statistics of The Hashemite Kingdom of Jordan |
The Preparatory Stage
This stage included a variety of overlapping operations to prepare the work plan and time-table, timely recruitment and training of the survey staff, and distribution of tasks and work areas. This stage also included the preparation of necessary concepts and definitions; finalization of survey documents such as the instruction manuals for data collection and other related forms; preparation of a system for manual data processing, including the editing, coding systems and manuals; preparation of electronic execution programs and loading the Personal Digital Assistants (PDAs) with these programs and data cleaning programs from errors for producing tables, special monitors were designated for checking the collected data. Data was gradually transferred from the PDA to the servers at the DOS main office.
Selection and Training of Staff
The supervisory and executive levels of the survey staff were selected according to their past experience in censuses and surveys, familiarity with geographic areas, and educational qualification. It is noteworthy that all survey staff were university graduates.
The survey administration designed a training plan for the different levels of survey staff before fielding the survey. A classroom-training program was held in the survey headquarters. The program focused on survey objectives, data collection procedures, confidentiality of data, and how to deal with households and overcome difficulties. The program also included a detailed explanation of the questionnaire inputs, concepts and instructions related to data collection and field editing. The staff was trained on supervisory tasks, organization of work, required specific tasks and assignments, sampling method and distribution of work over the Country. The numbering system used for the household national frame and how to locate sampled households were also explained. Then a special training course on how to use PDA for data collection and on how to handle the electronic questionnaire was conducted.
In addition to the above training, further classroom and field practices demonstrated how to fill in the questionnaire using the PDA. Errors emerged from these applications were detected and explained to the field staff.
Organization of Field Work
The fieldwork was organized in a way that ensured complete control, accuracy and consistency of field logistics to obtain high quality data.
The completed questionnaires were edited daily in the field for completeness and consistency and to make sure that all sampled households have been visited.
Data processing
Raw Data
PDAs were used to input and transfer data from the interviewees to the database.
The plan of the tabulation of survey results was guided by former Employment and Unemployment Surveys which were previously prepared and tested.
When all data processing procedures were completed, the actual survey results were tabulated using an ORACLE package. The tabulations were then thoroughly checked for consistency of data such as titles, inputs, concepts, as well as the figures.
Harmonized Data
- STATA package is used to clean and harmonize the datasets.
- The harmonization process starts with a cleaning process for all raw data files received from the Statistical Agency.
- All cleaned data files are then merged to produce one data file on the individual level containing all variables subject to harmonization.
- A country-specific program is generated for each dataset to generate/ compute/ recode/ rename/ format/ label harmonized variables.
- A post-harmonization cleaning process is then conducted on the data.
- Harmonized data is saved on the household as well as the individual level, in STATA and then converted to SPSS, to be disseminated.
Access policy
Economic Research Forum
Economic Research Forum
http://erfdataportal.com/index.php/catalog/78
Cost: None
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| Economic Research Forum | Economic Research Forum (ERF) | www.erf.org.eg | erfdataportal@erf.org.eg |
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | 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. |
Licensed datasets, accessible under conditions.
The users should cite the Economic Research Forum and the Department of Statistics of The Hashemite Kingdom of Jordan as follows:
OAMDI, 2015. Harmonized Labor Force Surveys (HLFS), http://erf.org.eg/data-portal/. Version 1.0 of Licensed Data Files; EUS 2011 - Department of Statistics (DOS), The Hashemite Kingdom of Jordan. Egypt: Economic Research Forum (ERF).
Disclaimer and copyrights
The Economic Research Forum and the Department of Statistics in The Hashemite Kingdom of Jordan 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.
(c) 2015, Economic Research Forum | (c) 2011, Department of Statistics, The Hashemite Kingdom of Jordan
Contacts
| Name | URL | |
|---|---|---|
| Economic Research Forum (ERF) - 21 Al-Sad Al-Aaly St., Dokki, Giza, Egypt | erfdataportal@erf.org.eg | www.erf.org.eg |