This document discusses using administrative and survey data from Algeria to measure labor market outcomes based on an expert group meeting questionnaire. It analyzes the ability to calculate various labor market measures using available Algerian data sources. For many measures, the labor force survey and household surveys can provide data to calculate definitions. However, some measures would require adding new questions to collect additional information, such as on earnings, occupational injuries, collective bargaining, and union membership. Administrative records from social security and unemployment insurance organizations also provide some supplemental data.

1. ERF-ILO EXPERT GROUP MEETING ON
"JOBS & GROWTH IN NORTH AFRICA" -
By
Ali Souag
University of Mascara and CREAD Algeria
DECEMBER 14,2019
Measures of Labor Market Outcomes
Case of Algeria

2. Data sources
1. Administrative data : Social Security data CNAS, CASNOS;
the National Unemployment Insurance Fund ( CNAC)
2. Survey data :
• Labor force Survey : Household data done 2 times by year
• Earning and expenditure : Household data done 1 time every 10
year
• Multiple Indicator Cluster Survey (MICS) : Household data done
every 5 years.
• Enterprises survey : done every year that concern on public
enterprises + private enterprise with 20 workers and more (
administrative and agricultural sectors are excluded )
2

3. How can this data to answer the questionnaire
• Administrative data + Surveys data can be used together to
answer 5 /7 sections
3

4. 1 Labor Underutilization
4
Measure
Are you
able to
calculate
the
measure
as per
the
definition
? (1=Yes /
2=No)
IF YES (1)
Data source for
calculating the
measure
Periodicity of data
Value of measure
(if available)
Discouraged job seekers
1
Labor force survey
(ONS)
Annual before 2014
and semi annual after
2014
1434000 in sep
2018
Proportion of youth (15-24) not in
education, employment or training
1
Labor force survey
(ONS)
Annual before 2014
and semi annual after
2014
25,5% in Sep 2018
Time-related underemployment rate
1
Labor force survey
(ONS)
Annual before 2014
and semi annual after
2014
19,6% in Sep 2014
Potential labor force
1
Labor force survey
(ONS)
Annual before 2014
and semi annual after
2014
---

5. 2 . Type of Employment
Proportion in government employment
1
Labor force survey
(ONS)
Annual before 2014 and
semi annual after 2014
30.20 % in Sep
2018
Propotion in public enterprise
employment 1
Labor force survey
(ONS)
Annual before 2014 and
semi annual after 2014
7.0 % in Sep 2018
Proportion in public sector employment
(sum of two above) 1
Labor force survey
(ONS)
Annual before 2014 and
semi annual after 2014
37,2 % in Sep 2018
Proportion in formal private wage
emloyment 1
Labor force survey
(ONS)
Annual before 2014 and
semi annual after 2014
Proprtion in informal private wage
employment 1
Labor force survey
(ONS)
Annual before 2014 and
semi annual after 2014
Proportion in private wage employment
(sum of two above)
1
Labor force survey
(ONS)
Annual before 2014 and
semi annual after 2014
Proportion in own account work
(employer/self-employed)
1
Labor force survey
(ONS)
Annual before 2014 and
semi annual after 2014
30.74 % in Sep
2018
Proportion in unpaid family work 1
Labor force survey
(ONS)
Annual before 2014 and
semi annual after 2014
1.92 % in sep 2018
5

6. 3 Regularity of Employment and Working Time
6
Regularity of employment 1
Labor force
survey (ONS)
Annual before 2014 and
semi annual after 2014
56.48% of
employees are
regular
Working time (in hours per week)
1
Labor force
survey (ONS)
Annual before 2014 and
semi annual after 2014

7. 4. Earnings and Nonwage Benefits
7
Nominal hourly earning
2
adding a
question
Nominal monthly earnings
1
Household
expenditure data
1966/1967, 1979/1980,
1988/1989, 2000/2001,
2011
Real hourly earnings
2
adding a
question
Real monthly earnings
1
Household
expenditure data
1966/1967, 1979/1980,
1988/1989, 2000/2001,
2011
Proportion of employees receiving
paid vacations 1
Labor force
survey (ONS)
Annual before 2014 and
semi annual after 2014
Proportion of employees receiving
paid sick leave 1
Labor force
survey (ONS)
Annual before 2014 and
semi annual after 2014
Proportion of workers with employer-
provided health insurance
1
Labor force
survey (ONS)
Annual before 2014 and
semi annual after 2014
The working poverty rate
1
Household
expenditure data
1966/1967, 1979/1980,
1988/1989, 2000/2001,
2011

8. 5. Social Protection
Share of population above statutory
pensionable age receiving an old-age
pension
1
Labor force survey
(ONS)
Annual before 2014 and
semi annual after 2014
Active contributors to social insurance
as a percent of labor force
1
Labor force survey
(ONS)
Annual before 2014 and
semi annual after 2014
Share of unemployed receiving regular
unemployment benefits
2
adding a
question
Social health protection coverage as a
percent of the total population
1
Multiple Indicator
Cluster Surveys
(UNICEF & ONS)
1995/2000/2006/2012/201
8
8

9. 5.2 . Proportion of the population covered by social protection
floor
By gender
1
Multiple Indicator Cluster
Surveys (UNICEF & ONS)
1995/2000/2006/2012/2
018
By distinguishing children
1
Multiple Indicator Cluster
Surveys (UNICEF & ONS)
1995/2000/2006/2012/2
018
By unemployed persons
1
Multiple Indicator Cluster
Surveys (UNICEF & ONS)
1995/2000/2006/2012/2
018
By older persons
1
Multiple Indicator Cluster
Surveys (UNICEF & ONS)
1995/2000/2006/2012/2
018
By persons with disabilities
1
Multiple Indicator Cluster
Surveys (UNICEF & ONS)
1995/2000/2006/2012/2
018
By pregnant women
1
Multiple Indicator Cluster
Surveys (UNICEF & ONS)
1995/2000/2006/2012/2
018
By newborns
1
Multiple Indicator Cluster
Surveys (UNICEF & ONS)
1995/2000/2006/2012/2
018
By work-injury victims
2
Adding
question
By the poor and the vulnerable
2
Adding
question
9

10. 6. Safety at work
Safety and Health at Work Are you able
to calculate
the measure
as per the
definition?
(1=Yes /
2=No)
How close/far is the
data from
calculating the
measure?
Fatal occupational injuries
By type of injury
2 1
Use administrative data ( CNAS) or
adding section in the questionnaire
By type of worker
2 1
Use administrative data ( CNAS) or
adding section in the questionnaire
Non-fatal occupational injuries (Page 16)
By type of injury
2 1
Use administrative data ( CNAS) or
adding section in the questionnaire
By type of worker
2 1
Use administrative data ( CNAS) or
adding section in the questionnaire
By days lost to cases of occupational injury
with temporary incapacity
2 1
Use administrative data ( CNAS) or
adding section in the questionnaire
10

11. 7. Industrial relations
Industrial Relations
Are you able
to calculate
the measure
as per the
definition?
(1=Yes /
How close/far is
the data from
calculating the
measure?
Collective bargaining coverage rate
2 1
A a special section in the labor force
survey
Union membership rate
2 1
A a special section in the labor force
survey
Days not worked due to strikes or
lockouts
2 1
A a special section in the labor force
survey
11

12. Thank You For Your Attention
12