Title: Measurement session 7
1Measurement session 7
21 between theory and history
3Unemployment between theory and history
- Unemployment, labor force are recent concepts
- Only appeared at the end of the 19th century
- More people coming to the cities and selling
their work labor force - Firms hiring and firing according to economic
fluctuations - No possibility of going back to other types of
work
4History
- Unemployment can appear only when changes in
economic activities translate into changes in
employment contracts - When paid employment ( wage earning not
self-employment) is the norm
5History
- Also require policy relevance why count these
people as unemployed? - At the end of 19th c. appeared
- Mutual help societies (workers contributing to
an insurance system against temporary lack of
employment) - Placement offices (registering as out of work
to find a new job)
6History
- Only when wage earning is the unequivocal
reference do jobs and employment fluctuate
together - Counter-example France, 1931-1936
- 1.8 million jobs
- 400 000 unemployed only
- Rural population, women, youth simply left town /
the labor market
7History
- unemployment exists only in the context of paid
work - An independent worker not working because s/he
has no customer is not unemployed - A family member not helping because there is no
need to at the moment is not either - Changes in economic activity not translated
into breach of work contracts and trying to find
another job. Not unemployment
8The frontiers between the 3 classes
Not in the LF
Employment
Chosen part-time
Informal work
Training Forced early retirement Discouraged
workers
Unwanted part-time (underemployment)
Unemployment
9Economic theory
- Usual paradigm of supply and demand in a
frictionless environment - Unemployment L supply (workers) L demand
(firms) - Focus on wages, the price of work why do they
not adjust S D? - Minimum wage obvious explanation
10Economic theory
- Now more focus on job search, supply/demand
skills mismatch, spatial mismatch - Introduction of TIME and SPACE in the models
- Supply and demand are linked dynamically flow
approach
11Economic theory
- Impact on measurement demand for measurement of
flows, not just stocks of unemployed - ? Panel data necessary
12Unemployment rate the basic definition
- Idea percentage of those who want to work who
are deprived of work - Unemployed / total labor force
- 2 things to study
- Measuring the labor force
- Counting the unemployed
132 The labor force
14The Labor Force
15The Labor Force
16The Labor Force
- Middle-East and North African Countries
17The Labor Force
- A crucial point age limits
- OECD 15-64
- Increasing employment rate (working / total
population) is an explicit EU political goal
strategic objective stated in Lisbon in 2000 - Goal 70
- Means increasing LF participation as well as
reducing unemployment
18The Labor Force
- Employment rate of people aged 55-64
Average EU (25) 41
19The Labor Force
- Employment rate of people aged 15-24
20The Labor Force
- Unemployment rate of people aged 15-24
213 The ILO definition
22Unemployment current definition
- ILO
- Â without workÂ
- Â currently available for workÂ
- Â seeking workÂ
23Unemployment current definition
- Is subject to interpretation cf homework
244 Specific issues in developing countries
25Specificities of developing countries (1/2) The
education paradox
26Specificities of developing countries (1/2) The
education paradox
27Specificities of developing countries (½)
Competing explanations
- (a) The unrealistic wage expectations
- hypothesis More educated workers seek jobs
which would pay them more than the market is
willing to pay, perhaps because workers possess
the wrong set of skills.
28Specificities of developing countries (½)
Competing explanations
- (b) The queuing hypothesis
- The unemployed wait for an opportunity to take
good jobs -- jobs in the civil service
(stability, generous fringe benefits) and formal
private sector. - By implication, the civil service wage premium
attracts job-seekers to queue and thus generates
unemployment.
29Specificities of developing countries (2/2) The
complexity of flows
- ILO dropping the search criterion may be more
appropriate in countries or situations where the
conventional means of seeking work are of limited
relevance, where the labor market is largely
unorganized or of limited scope, where labor
absorption is, at the time, inadequate, or where
the labor force is largely self-employed (ILO,
1982)
30Specificities of developing countries (2/2)
The complexity of flows
- Cyclical Movements in Unemployment and
Informality in Developing Countries, IZA DP No.
3514. Mariano Bosch William Maloney - Measure flows from / into
- Formal employment
- Informal paid work
- Informal self-employment
- Panel data, Mexico Brazil
31The complexity of flows
- Mexico National Urban Employment Survey
(Encuesta Nacional the Empleo Urbano, ENEU) - Quarterly household interviews in the 16 major
metropolitan areas. - Long questionnaire participation in the labor
market, wages, hours worked, etc. - Tracks a fifth of each sample across a five
quarter period
32The complexity of flows
- Brazil Monthly Employment Survey (Pesquisa
Mensal de Emprego, PME) - Monthly household interviews in 6 of the major
metropolitan regions (covering 25 of the
national labor market) - Questionnaire similar to the ENEU
- Tracks each household during four consecutive
months and then drop them from the sample for 8
months, after which they are reintroduced for
another 4 months
33The complexity of flows
- Divide employed workers into three sectors
- informal salaried (I),
- informal self employed (S)
- Formal sector workers (F)
- Formal workers working in firms licensed with
the government, conforming to tax and labor laws - minimum wage directives
- pension and health insurance benefits for
employees - workplace standards of safety? etc.
- Informal workers owners of firms largely de
linked from state institutions and obligations
their employees, not covered by formal labor
protections
34- 50 60 employed in formal sector (F)
- 25 35 employed in informal sector (I)
- 20 30 of the labor force independent or
self-employed workers (S) - Most of these are informal workers
35(No Transcript)
36(No Transcript)
37A note on missing information
- Middle-East and North African Countries
385 The European Labor Force Surveys
39A legally binding framework
- European core statistics are subject to
regulations - Eurlex_CR577_98.pdf
40How households are weighted
- Initial weight 560
- Final weight around 700
- The weights on the respondents are calculated so
that the total population by age and gender is
the same as in the latest Census data (2007) - Non-respondents are replaced by households from
same urbanization level, type of dwelling, number
of rooms in the dwelling All we known from the
sample frame, the 1999 census (or by another new
dwelling if did not exist in 1999)
41Data collection
- 6 interviews, every 3 months ? lasts for 1,5 year
- 1st and last itw face to face, usually at the
respondents home - 2nd to 5th itw by phone
42The  rotation biasÂ
43 The unemployment figure
- Big controversy in 2007
- The trend in monthly statistics from ANPE rolls
was down - The LFS figure was stable
- Insee was paralysed by technical debates (non
response, rotation bias, confidence intervals)
44 The unemployment figure
- Confidence interval (95) on unemployment rate is
/- 0,4 pts - This represents about 100 000 people
45 The unemployment figure
- Meaning your 8,81 should rather be stated as
There is a .95 probability that the unemployment
rate is in the interval - 8,4 9,2
- Monthly changes are impossible to record
- How politically audible is that? Are the media
willing to explain it?
46Current trends in LFS
- The current evolution is towards a more complex
LFS to better account for - Self-employed
- People with more than 1 job
- Underemployment
- The unemployment category is exploding along
with the production model that saw it become
prominent (full time job)
476 Measuring the grey areas
48Measuring the grey areas
- Being unemployed is a 0/1 variable
- The notorious halo
49Measuring the grey areas
506 Measuring policy outcome
51Measuring a policy outcome
- Self-Sufficiency Project (SSP) a Canadian
research and demonstration project - Idea make work pay for long-term income
assistance (IA) recipients by supplementing their
earnings. - Lone parents on IA qualified for a generous
earnings supplement if they took up full-time
work and left the welfare rolls within 12 months
of entering the project. - Once qualified, they received a supplement that
roughly doubled their pretax earnings during
periods of full-time work in the next three years
52Measuring a policy outcome
- 2 Canadian provinces
- British Columbia
- New Brunswick
- November 1992 to December 1999
53Measuring a policy outcome the experimental
design
- Evaluation whether participation in SSP resulted
in increased earnings and employment ? - A social experiment participants randomly
divided into a program group and a control group.
- A series of surveys a baseline survey at the
point of random assignment and follow-up surveys
18, 36 and 54 months after random assignment
was undertaken by Statistics Canada. - Program designers theorized that the SSP earnings
supplement would induce women who would otherwise
have stayed on IA to enter and remain in the
labor force.
54Measuring a policy outcome waiting for 3 years
55Measuring a policy outcome waiting for 4 years
56Lessons to be learnt
- Numerator is obvious but always remember the
denominator - The population over which you compute a figure
(ex age limits) matter a lot (ex labor force
participation) - Confidence intervals do not sell well yet
- Trying to describe grey zones with a couple of
figures is not a lost cause
57Lessons to be learnt
- Long term policy outcomes are worth examining