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Engendering Labour Statistics

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United Nations Economic Commission for Europe. Statistical Division ... Have you ever heard of the Midwestern Life Magazine? (no such magazine! ... – PowerPoint PPT presentation

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Title: Engendering Labour Statistics


1
Engendering Labour Statistics
  • UNECE Statistical Division

2
Segregation
3
Activity rate
Unemployment Rate
4
Employment Rate
5
Labour Force Surveys, Census, Surveys
Enterprise surveys, LFS, Census
LFS, Census, Registers
6
Engendering Labour Statistics
  • How can we make the process of collecting,
    processing and disseminating employment
    statistics more gender sensitive?

7
Engendering Labour Statistics
  • Where is the gender bias?
  • Man-biased data collection (question wording)
  • Inadequate definitions and concepts
  • Gender-biased responses
  • Gender-biased enumerators
  • Gender-blind content of the data collection

8
Engendering Labour Statistics
  • Question wording
  • Formally there is a clear distinction between
    employed and non employed population
  • ILO definition a person is currently employed if
    he/she has worked at least one hour the week
    previous the survey
  • Work for income (cash or kind) or unpaid
    production of goods

9
Engendering Labour Statistics
  • Question wording
  • Prior 1994, US Labour Force Survey (LFS) What
    were you doing most of last weekworking, keeping
    house, or something else?
  • For women who primarily kept house but also did
    some paid work, this question appears to have led
    to some underreporting of work
  • Now, US LFS Last week, did you do any work for
    pay or profit?
  • Following the redesign, the survey found an
    increase in the number of workers, primarily
    women, who usually worked fewer than 10 hours per
    week

10
Engendering Labour Statistics
  • Question wording
  • Can the LFS questions be improved to include all
    women and men who do work according to the ILO
    definition?
  • Do the current questions capture persons who have
    atypical jobs?

11
Engendering Labour Statistics
  • Question wording
  • Concepts should be operationalized in a way that
    respondents can understand it.
  • What does work mean?
  • What does child care mean?
  • Cognitive testing, focus groups help to make sure
    that the concepts used are interpreted correctly

12
Engendering Labour Statistics
  • Concepts and definitions
  • Womens work tend to be more heterogeneous than
    mens work, but standard classifications are more
    one-dimensional
  • Some unit of analysis hide the individual (and
    therefore the gender) dimension
  • household, farm, economic unit

13
Engendering Labour Statistics
  • Gender-biased responses
  • Male respondents may fail to report women
  • Respondents may not understand the content of the
    questionnaire
  • Respondent give wrong answers to meet social
    norms

14
Meeting social norms US Survey Example
Engendering Labour Statistics
  • The following questions and results were obtained
    in an American survey

'Yes'
Have you ever heard the word AFROHELIA? (no such
word!)
8
Have you ever heard of the famous writer, John
Woodson? (no such writer!) Have you ever heard
of the Midwestern Life Magazine? (no such
magazine!) Do you recall that, as a good citizen
you voted last December in the special election
for your state representative? (no election!)
16 25
33
Have you ever heard of the Taft-Pepper Bill
concerning veteran's housing (no such bill!)
53
Sometimes this type of bias is called prestige
error
15
Engendering Labour Statistics
  • Gender-biased enumerators
  • Enumerators may introduce his/her personal view
    (norm) in the interview
  • Poor training
  • Social pressure
  • Lack of interest
  • Enumerators may establish poor relationship
  • Not gender-correct language
  • Body language

16
Enumerator-bias Example Australian Survey
Engendering Labour Statistics
  • Average number of sex partners reported
  • By women who were watched as they filled in their
    survey answers 2.6
  • By women who knew they were completely anonymous
    3.4
  • By women who thought they were attached to a lie
    detector 4.4

Sydney Morning Herald, August 31, 2003
17
Engendering Labour Statistics
  • Gender-blind content
  • What are the gender issues in employment?
  • .Next activity.

18
  • Thank you !
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