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Employment and Unemployment Survey, EUS 2016

Jordan, 2016
Labor Force Surveys
ERF Harmonized Datasets
Economic Research Forum, Department of Statistics
Created on October 22, 2017 Last modified October 22, 2017 Page views 76537 Download 5232 Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Data Processing
  • Access policy
  • Disclaimer and copyrights
  • Metadata production

Identification

Survey ID Number
JOR_EUS_2016_HD_V1
Title
Employment and Unemployment Survey, EUS 2016
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 2016 Employment and Unemployment Survey (EUS). The survey rounds covered a sample of about fourty nine 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.

Version

Version Description
V1: A cleaned and a harmonized version of the survey dataset, produced by the Economic Research Forum for dissemination.
Production Date
2017-10
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.

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).
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

Data Collection

Dates of Data Collection
Start End Cycle
2016 2016 -
Data Collection Mode
Computer Assisted Personal Interview [capi]
Data Collectors
Name Abbreviation Affiliation
Department of Statistics DOS Ministry of Planning

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.

Access policy

Access authority
Name Affiliation Email URL
Economic Research Forum ERF erfdataportal@erf.org.eg www.erf.org.eg
Contacts
Name Email 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, 2017. Harmonized Labor Force Surveys (HLFS), http://erf.org.eg/data-portal/. Version 1.0 of Licensed Data Files; EUS 2016 - 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) 2017, Economic Research Forum | (c) 2016, Department of Statistics, The Hashemite Kingdom of Jordan

Metadata production

DDI Document ID
JOR_EUS_2016_HD_V1
Producers
Name Abbreviation Role
Economic Research Forum ERF Cleaning and harmonizing raw data received from the Statistical Agency
Date of Metadata Production
2017-10
DDI Document version
Version 1
ERF NADA

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