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Measurement session 7

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More people coming to the cities and selling their work = 'labor force' ... Brazil: Monthly Employment Survey (Pesquisa Mensal de Emprego, PME) ... – PowerPoint PPT presentation

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Title: Measurement session 7


1
Measurement session 7
  • Employment unemployment

2
1 between theory and history
3
Unemployment 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

4
History
  • 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

5
History
  • 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)

6
History
  • 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

7
History
  • 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

8
The 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
9
Economic 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

10
Economic 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

11
Economic theory
  • Impact on measurement demand for measurement of
    flows, not just stocks of unemployed
  • ? Panel data necessary

12
Unemployment 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

13
2 The labor force
14
The Labor Force
  • Ex France

15
The Labor Force
  • Ex Egypt

16
The Labor Force
  • Middle-East and North African Countries

17
The 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

18
The Labor Force
  • Employment rate of people aged 55-64

Average EU (25) 41
19
The Labor Force
  • Employment rate of people aged 15-24

20
The Labor Force
  • Unemployment rate of people aged 15-24

21
3 The ILO definition
22
Unemployment current definition
  • ILO
  •  without work 
  •  currently available for work 
  •  seeking work 

23
Unemployment current definition
  • Is subject to interpretation cf homework

24
4 Specific issues in developing countries
25
Specificities of developing countries (1/2) The
education paradox
  • Sri Lanka

26
Specificities of developing countries (1/2) The
education paradox
  • Egypt

27
Specificities 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.

28
Specificities 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.

29
Specificities 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)

30
Specificities 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

31
The 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

32
The 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

33
The 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
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36
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37
A note on missing information
  • Middle-East and North African Countries

38
5 The European Labor Force Surveys
39
A legally binding framework
  • European core statistics are subject to
    regulations
  • Eurlex_CR577_98.pdf

40
How 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)

41
Data 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

42
The  rotation bias 
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?

46
Current 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)

47
6 Measuring the grey areas
48
Measuring the grey areas
  • Being unemployed is a 0/1 variable
  • The notorious halo

49
Measuring the grey areas
50
6 Measuring policy outcome
51
Measuring 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

52
Measuring a policy outcome
  • 2 Canadian provinces
  • British Columbia
  • New Brunswick
  • November 1992 to December 1999

53
Measuring 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.

54
Measuring a policy outcome waiting for 3 years
55
Measuring a policy outcome waiting for 4 years
56
Lessons 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

57
Lessons to be learnt
  • Long term policy outcomes are worth examining
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