Estimating labour market transitions from labour force surveys
Conducting and Analysing Labour Force Surveys for Monitoring of the Labour Market, ِِ Amman 18-22...
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Transcript of Conducting and Analysing Labour Force Surveys for Monitoring of the Labour Market, ِِ Amman 18-22...
Conducting and Analysing Labour Force Surveys for Monitoring of
the Labour Market, ِِِِAmman
18-22 November 2012
Challenges and Opportunities
Labour Force Surveys/ Arab countries
Division of Statistics, ESCWA
Labour statistics in the Arab region/ challenges and opportunities
• Data collection- processing, dissemination,
• Methodological issues: Discrepancies with ILO
• International classification- ALO/ILO classifications• Challenges- National level• Training needs- data harmonization• Looking forwards
Outline
Data Sources
• Most have LFS or household surveys with labor force questions – Yemen- Sudan, Djibouti, Somalia
• Limited use of administrative data : Why? Countries collect data through Admin Data: Bahrain- • Problems: • Lack of time series in most countries • Incomparability of data collected :
Different years & different definitions/standards
• Nearly all countries have background information in their LFS-s, e.g. age, sex, marital status, education.
• Discrepancy across labor force categories re some background information, for example getting only information from the employed ….
• What are the way to adapt different sources of data in your country?
Methodological concerns
• Concepts and definitions – International standards• Sampling: Sampling is varied from a country to
another• Coverage: urban/rural- national/non national/
refugees• Use of technology in data collection• Data processing• Data analysis• Data dissemination
Issues of comparability
• Sampling: sample frame- sample size- type of simple-
reference period- periodicity
• Overview of sampling in the Arab countries re- LFS- HHS
• Any comparability?
Issues of comparability
•Different Age groups for Employment/Unemployment according to the last survey
Issues of comparability
•Survey Design
• Periodicity of the surveys vary between annual (6 countries), bi-annual (2 countries), quarterly (3 countries), and as in the case of Lebanon and Yemen, ad-hoc.
• Response rates for the majority of countries are above 90%
• Population coverage varies between nationals (3 countries), nationals/non-nationals (6 countries), urban (1 country), urban/rural (1 country), and whole country excluding some geographic areas (1 country).
Issues of comparability
•Different reference period for employment/unemployment definition
• Reference period for working
-“have worked at least 1 hour in the week preceding the survey”
(8 countries)-“either one day or a week during the month preceding the
survey (1 country)-“at least one hour during 24 hours that preceded the
interview”(1 country)-Not specified (4 countries)
Further topics in LFS-s
•Underemployment (7 countries)
•Employment in the informal sector (5 countries)
•Social security and health insurance (4 countries)
•Date of the first employment (3 countries)
•Work entitlements (3 countries)
Focus
• International ClassificationsThe majority of countries have adopted ISIC (3
or 4) and ISCO (08 or 88 )classifications. ISCO and ASCOISCO 08 in Arabic not available yetASCO 08: can be implemented by NSOs?From ISCO 88 to ISCO 08
Other challenges
•Budget constraints:In conducting regular (yearly) labor force survey
•Human resources constrains:Conducting and analyzing:
•Conflict issues:
•Sudan, Palestine, Iraq, Syria, Libya and Yemen•Dissemination of data:Collected survey data are partially published
•Lack of metadata for some countries
Training needs- Opportunities-Looking forward
• Conception and methods issues• Sampling• Data capturing and data processing• Data Analysis- • Data Dissemination- media information- user
producer dialogueElectronic- publication –GIS
Opportunities / Looking Forwards
• Coordination body: AITRS-ALO, ILO, ESCWA, CESRIC
• Technical assistance• Study tours/ exchange of expertise• Main topics of training workshop in 2013??Transition school to work- decent work- data
dissemination- data user-producers……
THANK YOU