Employment and Unemployment Survey, EUS 2014
Jordan, 2014
Economic Research Forum, Department of Statistics
Identification
Survey ID Number
JOR_EUS_2014_HD_V1
Title
Employment and Unemployment Survey, EUS 2014
Country
| Name | Country code |
|---|---|
| Jordan | JOR |
Study type
Labor Force Survey [hh/lfs]
Series Information
A quarterly survey collected by the Department of Statistics (DOS) of the Hashemite Kingdom of Jordan
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 DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN
The Department of Statistics (DOS) carried out four rounds of the 2014 Employment and Unemployment Survey (EUS) during February, May, August and November 2014. The survey rounds covered a total sample of about fifty three thousand households Nation-wide. The sampled households were selected using a stratified multi-stage cluster sampling design.
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.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
1- Household/family.
2- Individual/person.
2- Individual/person.
Version
Version Description
V1: A cleaned and a harmonized version of the survey dataset, produced by the Economic Research Forum for dissemination.
Production
Date
2016-02
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, are published, along with a copy of all 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 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).
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).
Topics
| Topic | Vocabulary |
|---|---|
| Demographics | ERF |
| Education | ERF |
| Nationality and immigration | ERF |
| Labor Force | ERF |
| Employment | ERF |
| Unemployment | ERF |
| Wages and incomes | ERF |
Coverage
Geographic Coverage
Covering a sample representative on the national level (Kingdom), governorates, and the three Regions (Central, North and South).
Universe
The survey covered a national sample of households and all individuals permanently residing in surveyed households.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Economic Research Forum | |
| Department of Statistics | The Hashemite Kingdom of Jordan |
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 DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN
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 two-stage cluster stratified sampling method. The main sample was designed in 2009 based on the data of the population and housing census 2004 for carrying out household surveys. The sample representative on the Kingdom, rural, urban, regions and governorates levels. The total sample size for each round was 1336 PSUs (clusters). These units were distributed to governorates urban, rural and large cities in each governorate according to the weight of persons and households and according to the variance within each stratum. Slight modifications regarding the number of these units were made to cope with the multiple of 8, the number of clusters for four rounds was 53432.
The main sample is consisted of 40 replicates, each replicate is consisted of 167 Primary Sampling Units (PSUs). For the purpose of each round, eight replicates of the main sample were used. 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 was selected on two stages, in the first stage, The Primary Sampling Units (PSUs) were selected, using the Probability Proportionate to Size with systematic selection procedure. The number of households, in each primary sampling unit (cluster) served as its weight or size. In the second stage, the blocks of the primary sampling units (cluster) which were selected in the first stage have been updated. Then a constant number of households (10 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.
Response Rate
The results of the fieldwork indicated that all sample households were visited. The number of successfully completed interviews was 48436, that is 90.8 percent of the total sample households.
Among the reasons of un-successful interviews (although three callbacks were made) 1.8 percent of the dwellings were closed at time of the visit.
The findings also indicate that the response rate is 95.5 percent, based on dividing the number of completed questionnaires by the number of expected completed interviews, that is after excluding the vacant dwellings.
More information on the distribution of interviews by region, governorate and visit results is available in table (E) in Page 4 of the annual report provided among the disseminated survey materials under a file named "Jordan 2014- Annual report (English).pdf".
Among the reasons of un-successful interviews (although three callbacks were made) 1.8 percent of the dwellings were closed at time of the visit.
The findings also indicate that the response rate is 95.5 percent, based on dividing the number of completed questionnaires by the number of expected completed interviews, that is after excluding the vacant dwellings.
More information on the distribution of interviews by region, governorate and visit results is available in table (E) in Page 4 of the annual report provided among the disseminated survey materials under a file named "Jordan 2014- Annual report (English).pdf".
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2014 | 2014 | - |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Data Collection Notes
The Preparatory Stage
==============
This stage included a variety of overlapping operations to prepare a 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 concepts and definitions; finalizations of documents such as the questionnaires, instruction manuals and other related forms; preparation of a system for manual data processing, including the editing and coding systems and manuals; preparation of electronic execution programs and implementation procedures regarding data, verification and debugging for cross-tabulation purposes.
The supervisory and executive levels of 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.
A classroom-training program for the survey staff was held in the survey headquarters for each round. 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.
In addition to the above training, further classroom and field practices demonstrated how to fill in the questionnaire. Errors emerging from these applications were detected and explained to the field staff.
Field Work Stage
===========
The sample households were visited and relevant data were collected during February, May, August, and November 2014. 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 sample households have been visited.
==============
This stage included a variety of overlapping operations to prepare a 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 concepts and definitions; finalizations of documents such as the questionnaires, instruction manuals and other related forms; preparation of a system for manual data processing, including the editing and coding systems and manuals; preparation of electronic execution programs and implementation procedures regarding data, verification and debugging for cross-tabulation purposes.
The supervisory and executive levels of 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.
A classroom-training program for the survey staff was held in the survey headquarters for each round. 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.
In addition to the above training, further classroom and field practices demonstrated how to fill in the questionnaire. Errors emerging from these applications were detected and explained to the field staff.
Field Work Stage
===========
The sample households were visited and relevant data were collected during February, May, August, and November 2014. 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 sample households have been visited.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Department of Statistics | DOS | Ministry of Planning |
Questionnaires
Questionnaires
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 Processing
Data Editing
Raw Data
=======
A tabulation results plan has been set based on the previous Employment and Unemployment Surveys while the required programs were prepared and tested.
When all prior data processing steps were completed, the actual survey results were tabulated using an ORACLE package. The tabulations were then thoroughly checked for consistency of data. The final report was then prepared, containing detailed tabulations as well as the methodology of the survey.
Harmonized Data
============
- The SPSS 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 SPSS and then converted to STATA, to be disseminated.
=======
A tabulation results plan has been set based on the previous Employment and Unemployment Surveys while the required programs were prepared and tested.
When all prior data processing steps were completed, the actual survey results were tabulated using an ORACLE package. The tabulations were then thoroughly checked for consistency of data. The final report was then prepared, containing detailed tabulations as well as the methodology of the survey.
Harmonized Data
============
- The SPSS 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 SPSS and then converted to STATA, to be disseminated.
Data Appraisal
Estimates of Sampling Error
Sampling errors were calculated for the Refined Activity Rate as well as the Unemployment Rate according to a set of relevant variables.
More information on the estimates of Sampling Errors (for Economic Activity Rates & Unemployment Rates) is available in the annual report in Appendix 5.1 provided among the disseminated survey materials under a file named "Jordan 2014- Annual report (English).pdf".
More information on the estimates of Sampling Errors (for Economic Activity Rates & Unemployment Rates) is available in the annual report in Appendix 5.1 provided among the disseminated survey materials under a file named "Jordan 2014- Annual report (English).pdf".
Access policy
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Economic Research Forum | 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 Department of Statistics of The Hashemite Kingdom of Jordan as follows:
OAMDI, 2016. Harmonized Labor Force Surveys (HLFS), http://erf.org.eg/data-portal/. Version 1.0 of Licensed Data Files; EUS 2014 - Department of Statistics (DOS), The Hashemite Kingdom of Jordan. Egypt: Economic Research Forum (ERF).
OAMDI, 2016. Harmonized Labor Force Surveys (HLFS), http://erf.org.eg/data-portal/. Version 1.0 of Licensed Data Files; EUS 2014 - Department of Statistics (DOS), The Hashemite Kingdom of Jordan. Egypt: Economic Research Forum (ERF).
Disclaimer and copyrights
Disclaimer
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.
Copyright
(c) 2016, Economic Research Forum | (c) 2014, Department of Statistics, The Hashemite Kingdom of Jordan
Metadata production
DDI Document ID
JOR_EUS_2014_HD_V1
Producers
| Name | Abbreviation | Role |
|---|---|---|
| Economic Research Forum | ERF | Cleaning and harmonizing raw data received from the Statistical Agency |
Date of Metadata Production
2016-02
DDI Document version
Version 1