Household Expenditure and Income Survey, HEIS 2002 - Jordan

Abstract --------------------------- THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 25% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN 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. Geographic coverage --------------------------- The survey sample is covering the urban and rural regions in the following governorates: Amman, Al-Balqa, Az Zarqa, Madaba, Irbid, Al-Mafraq, Jerash, Ajloun, Al-Karak, Al-Tafilah, Maan, and Al-Aqaba. Analysis unit --------------------------- 1- Household/family. 2- 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 25% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN Mode of data collection --------------------------- Face-to-face [f2f] Research instrument --------------------------- List of questionnaires: 1- General Questionnaire 2- Food Questionnaire 3- Non-Food Questionnaire Cleaning operations --------------------------- Raw Data ======= Harmonized Data =========== - The Statistical Package for Social Science (SPSS) is used to clean and harmonize the datasets. - The harmonization process starts with cleaning all raw data files received from the Statistical Agency. - Cleaned data files are then all 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 converted to STATA format.