Overview of the International classification of occupations (ISCO) A case for Uganda
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Transcript of Overview of the International classification of occupations (ISCO) A case for Uganda
Overview of the International
classification of occupations (ISCO) A case for Uganda
Ssennono vincent
Contents Sources of labour statistics Why urban labour force surveys Type of labour statistics Achievements Coding of occupations Limitations recommendatios
Sources of Labour Statistics Censuses and Sample Surveys
Conducted by UBOS Administrative Records
Ministry of Gender, labour and Social Development
Records from Other Organizations FUE, NOTU, UIA, UMA, NSSF, Dept of
Immigration, etc
Censuses 1991 and 2002 Populations Censuses
Collected little information on the status of the labour force
1990 , 2002 and 2010 Census of Business Establishments Collected information on employment
1978 Census of Civil Servants Collected detailed information but for Civil
Servants ONLY
Specific Sample Surveys Enumeration of Employees 1968
Covered employees only in the formal Sector HH Budget Survey 1988/89 National Manpower Survey of 1989
Covered Characteristics and structure of skilled manpower in the formal Sector
Integrated HH Surveys 1992/93 A few questions on activity Status were asked
Monitoring Surveys 1993/94, 1994/95, 1995/96
Specific Sample Surveys
HH Survey of 1997 with a Pilot Labour module
Demographic and Health Surveys 1988/89, 2000/2001, 2006
Uganda Household Survey 1999/2000, 2002/2003, 2005/06, 2009/10 Labour Market condition, 2006 Labour Market condition, 2007 Labour Market condition, 2011(planned)
Specific Sample Surveys
Employment and earning surveys, 2007 hours of work per job Average wage per job Overtime payment Number of vacancies Occupational injuries
National panel surveys- 2005/06 and 2009/2010
Annual Urban labour force surveys-2009
Why urban annual labour force survey
Monitor unemployment rate in urban areas
Limited resource Quality of data- self reporting and
reducing respondent fatigue
Administrative Records
Registration of the unemployed by MGLSD- poor coverage
Records of individual employers Data from employer or
employee organizations e.g. NOTU and FUE
Job Adverts in newspaper
Type Labour Statistics Status in Employment of persons Unemployment Rate Labour force participation rate Industry and Occupation Monthly earnings Time realated Underemployment Labour slack
Type of Labour Statistics
Working poor Labour absorption rate Share of women in wage
employment Size of subsistence vs non
subsistence Wage rates in selected occupation Size of public sector employment
Achievements Design a full fledged labour force
survey instruments questionnaire Sampling Manual of instruction
Carried out a an independent labour force survey in urban areas
Improved funding from government Targeted dissemination
Components of labour underutilization
Labour slack 25.5% 21.4% 30.4%
● Unemployed 13.0% 6.6% 20.7%
● Time-related underemployed 10.2% 13.9% 5.8%
● Discouraged workers 1.3% 0.3% 2.6%
● Other not economically active persons, currently available for work 0.9% 0.5% 1.4%
Skills underutilization 10.5% 13.9% 6.6%
- 2nd, 3rd and 4th level education in occupations ISCO-88 major group 9 4.3% 6.1% 2.2%
- 5th level education in occupations ISCO-88 major groups 4-9 6.1% 7.7% 4.2%
- 6th level education in occupations ISCO-88 major groups 3-9 0.1% 0.1% 0.1%
Low earnings 4.0% 2.8% 5.5%
● Full-time employed (40-48 hrs per week) with low monthly earnings 0.3% 0.1% 0.5%
● Part-time employed (<40 hrs per week) with low hourly earnings 0.0% 0.0% 0.0%
● Over-employed (>48 hrs per week) 3.7% 2.7% 5.0%
- with low monthly earnings 3.7% 2.7% 5.0%
- above monthly earnings threshold, but with low hourly earnings 0.0% 0.0% 0.0%
Coding of occupation (ISCO-1988) surveys
Main and secondary occupations What was (names) main/secondary
occupation in the last 7 days. DESCRIBE THE
OCCUPATION AND IN AT LEAST 2 WORDS. enumerator coding up to 3 digits Localization some occupations
Importance of the occupations e.g Boda boda Professional jobs
Both description and code are entered for post editing
Coding of occupation- ctd
Employment and earning surveys Occupational hierarchy identified common occupations by
branch of economic activity e.g for health institution- surgeons, nurses, midwifery, dentists, lab technologists etc
similarly for manufacturing, education etc
Occupation coding in censuses
Office coding coding instruction coders Supervisor
limitation Localization of some occupations
Cost of office coding especially in census
Different languages unclear and tricky responses little technical support by ILO
Recommendations
Countries should come together to
harmonise concepts and definitions for
international comparability
Like OECD countries, Africa should form
a body to spear head labour issues in
the ICLS and to help other African
countries to improve.
Improve the Metadata of labour statistics
THE WAY TO GO – The Way Of The Ants:Simple Agents, Simple Tasks, Simple Rules
“Lower level rules develop high level sophistication”
THEIR THEORY? More Is Better
“Minimum threshold levels are red to make intelligent assessments of the global state. ”
THEIR CONTROLS? Indirect – Specialization and Coordination
Thank you