National Survey on Population and Employment, ENPE 2013
Tunisia, 2013
Economic Research Forum, National Institute of Statistics - Tunisia
Identification
Survey ID Number
TUN_ENPE_2013_HD_V1
Title
National Survey on Population and Employment, ENPE 2013
Country
| Name | Country code |
|---|---|
| Tunisia | TUN |
Study type
Labor Force Survey [hh/lfs]
Series Information
The National Institute of statistics (INS) in Tunisia started by collecting the first bi-annual National Survey on Population and Employment in 1997. Annual surveys started to be collected since 2000.
In 2004, methodologies of both the General Census of Population and Housing and the National Survey on Population and Employment Survey were harmonized with the concepts of the International Labour Organization (ILO).
Later in 2011, INS started to conduct the ENPE quarterly.
In 2004, methodologies of both the General Census of Population and Housing and the National Survey on Population and Employment Survey were harmonized with the concepts of the International Labour Organization (ILO).
Later in 2011, INS started to conduct the ENPE quarterly.
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 NATIONAL INSTITUTE OF STATISTICS (INS) - TUNISIA
The survey aims at estimating the demographic and educational characteristics of the population. It also calculates the economic indicators of the population such as the number of active individuals, the additional demand for jobs, the number of employed and their characteristics, the number of jobs created, the characteristics of the unemployed and the unemployment rate.
Furthermore, this survey estimates these indicators on the household level and their living conditions.
The results of this survey were compared with the results of the second quarter of the national survey on population and employment 2011. It should also be noted that the National Institute of Statistics -Tunisia uses the unemployment definition and concepts adopted by the International Labour Organization. This definition implies that, the individual did not work during the week preceding the day of the interview, was looking for a job in the month preceding the date of the interview, is available to work within two weeks after the day of the interview.
In 2010, the National Institute of Statistics has adopted a strict ILO definition for unemployment, by conditioning that the person must perform effective approaches to search for a job in the month preceding the day of the interview.
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
2016-06
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 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.
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, secondary 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, secondary 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 representative sample at the national and regional level (governorates).
Universe
The survey covered a national sample of households and all individuals permanently residing in surveyed households.
Producers and sponsors
Primary investigators
| Name |
|---|
| Economic Research Forum |
| National Institute of Statistics - Tunisia |
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 NATIONAL INSTITUTE OF STATISTICS - TUNISIA (INS)
The sample is drawn from the frame of the 2004 General Census of Population and Housing.
Data Collection
Dates of Data Collection
| Start | Cycle |
|---|---|
| 2013 | - |
Data Collection Mode
Face-to-face [f2f]
Supervision
The control and supervision of the work of interviewers was achieved over several steps, in fact interviewers are divided into teams of three or four headed by a supervisor.
The supervisor ensures that the interviewers locate and correctly identify the limits of the clusters, conduct the interview properly, when it comes to the way the interviewer asks the questions and efficiently completes the questionnaire.
Once completed, questionnaires are then submitted to regional offices. The office auditor checks the questionnaires for errors, inconsistencies or omissions.
These teams of interviewers and auditors are supervised by a supervisor for each governorate (or all governorates). The supervisor, ensures the smooth coordination between different teams and the smooth flow of information from the central to regional offices. The supervisor is also responsible for the training of interviewers and auditors before the interviews start.
The supervisor ensures that the interviewers locate and correctly identify the limits of the clusters, conduct the interview properly, when it comes to the way the interviewer asks the questions and efficiently completes the questionnaire.
Once completed, questionnaires are then submitted to regional offices. The office auditor checks the questionnaires for errors, inconsistencies or omissions.
These teams of interviewers and auditors are supervised by a supervisor for each governorate (or all governorates). The supervisor, ensures the smooth coordination between different teams and the smooth flow of information from the central to regional offices. The supervisor is also responsible for the training of interviewers and auditors before the interviews start.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| National Institute of Statistics | INS | Tunisia |
Questionnaires
Questionnaires
Three modules were designed for data collection:
- Household Questionnaire (Module 1):
Includes questions regarding household characteristics, living conditions, individuals and their demographic, educational and economic characteristics. This module also provides information on internal and external migration.
- Active Employed Questionnaire (Module 2):
Includes questions regarding the characteristics of the employed individuals as occupation, industry and wages for employees.
- Active Unemployed Questionnaire (Module 3):
Includes questions regarding the characteristics of the unemployed as unemployment duration, the last occupation, activity, and the number of days worked during the last year...etc.
- Household Questionnaire (Module 1):
Includes questions regarding household characteristics, living conditions, individuals and their demographic, educational and economic characteristics. This module also provides information on internal and external migration.
- Active Employed Questionnaire (Module 2):
Includes questions regarding the characteristics of the employed individuals as occupation, industry and wages for employees.
- Active Unemployed Questionnaire (Module 3):
Includes questions regarding the characteristics of the unemployed as unemployment duration, the last occupation, activity, and the number of days worked during the last year...etc.
Data Processing
Data Editing
Harmonized Data
============
- SPSS software 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.
============
- SPSS software 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.
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 National Institute of Statistics -Tunisia as follows:
OAMDI, 2016. Harmonized Labor Force Surveys (HLFS), http://erf.org.eg/data-portal/. Version 1.0 of Licensed Data Files; ENPE 2013 - National Institute of Statistics (INS), Tunisia. 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; ENPE 2013 - National Institute of Statistics (INS), Tunisia. Egypt: Economic Research Forum (ERF).
Disclaimer and copyrights
Disclaimer
The Economic Research Forum and the National Institute of Statistics of Tunisia 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) 2013, National Institute of Statistics, Tunisia
Metadata production
DDI Document ID
TUN_ENPE_2013_HD_V1
Producers
| Name | Abbreviation | Role |
|---|---|---|
| Economic Research Forum | ERF | Cleaning and harmonizing raw data received from the Statistical Agency |
Date of Metadata Production
2016-06
DDI Document version
Version 1