Employment and Unemployment Survey, EUS 2017 - 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) implements the Labor Force Survey through four rounds every year. The survey covers about 16,500 households distributed over all governorates. The households are selected on the basis of scientific criteria in designing the multistage cluster stratified samples. It should be noted that the survey sample represents the Kingdom, governorates, three regions, urban / rural and Jordanians and non-Jordanians. It is worth mentioning that the Department of Statistics uses the tablet sets in data collection and processing and an electronic questionnaire instead of the paper format. 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. Geographic coverage --------------------------- Covering a sample representative on the national level (Kingdom), governorates, three regions (Central, North and South), urban / rural and Jordanians and non-Jordanians. Analysis unit --------------------------- 1- Individual/person. Universe --------------------------- The survey covered a national sample of households and all individuals permanently residing in surveyed households. Kind of data --------------------------- Sample survey data [ssd] 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 Mode of data collection --------------------------- Computer Assisted Personal Interview [capi] Cleaning operations --------------------------- ----> 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 STATA software 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 individual level, in STATA and then converted to SPSS, to be disseminated.