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Changing career paths: risks and opportunities for men and women Some results from secondary analyse

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Men and women at work ... Accompanied by a prevalence of part time (80 % of part timers are women) ... but flexible working arrangements only spreading slowly ... – PowerPoint PPT presentation

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Title: Changing career paths: risks and opportunities for men and women Some results from secondary analyse


1
Changing career paths risks and opportunities
for men and women Some results from
secondary analyses of the European Working
Conditions Survey
  • Greet Vermeylen
  • Research manager, Monitoring and Survey unit,
    Eurofound
  • WORKS conference Fragmentation? The future of
    work in Europe in a global economy
  • Rome, 8/9 October 2008

2
Some comments on the two papers
  • Putting the changes in career paths into a
    perspective of general findings from EWCS
  • how do men and women work in the EU,
  • do they work differently, have different careers
  • how is work situated within their life, the life
    of their family,
  • transitions (and life course perspective)
  • non standard forms of work and more flexibility
    on the labour market
  • challenges for particular groups of workers

3
Looking at 15 yrs of changes in the EU Men and
women at work
  • More people work in all sectors however relative
    decline in manufacturing industry and increase in
    service industry
  • Increasing proportion of women on the labour
    market (44 of the workforce)
  • Accompanied by a prevalence of part time (80
    of part timers are women)
  • But high segregation in the labour market remains
  • Occupational and sectoral segregation
  • only 23 of workers work in gender mixed
    occupations
  • Also pay, time, employment gender gaps persist

4
The rise of dual earner families
The evolution of the labour market situation of
families in the EU. Source OECD
5
Employment and part-time by gender
100
Employment rate - Men
90
80
70
Employment rate - Women
60

50
40
Part-time work rate - Women
30
20
Part-time work rate - Men
10
0
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65
Source Eurostat, LFS
6
Increase in non-standard employment
  • More part-time work (18,5)
  • 33 of women and 8 of men work part-time
  • More temporary employment (14)
  • More second jobs (4)
  • but big differences over countries
  • Questions
  • effects of these non-standard forms of work on
    working conditions and on career paths
  • Is non standard a permanent situation or are
    transitions possible? How easy?
  • And what about (employment and social protection)
    rights attached to these non standard forms of
    work

7
Rise in non-standard employment in the European
Union, 1991-2005 ()
20
18
16
14
12
10
8
6
4
2
0
Self-employed
Part-time
Temporary
Second job
employment
1991 (EU12)
1995 (EU15)
2000 (EU15)
2005 (EU25)
8
But some differences over countries
9
Parttime work varies considerably across Europe
(EWCS)
10
Working time
  • Reduction of working hours due to a combination
    of
  • Increase of part time 33 of women and 8 of
    men work part time
  • Reduction of long weekly hours (gt48 hrs) 15 of
    workers, 44 of the self-employed
  • Regular working hours and working week, still the
    norm
  • 69 of women and 56 of men have fixed working
    hours
  • Men get more flexibility from their employers,
    and are more willing to work more flexibly. Women
    usually prefer predictable and regular working
    hours
  • Women are usually more satisfied with the
    work-life balance
  • The choices are made before (at the kitchen
    table)

11
Working time flexibility does not increase as
quickly as one tends to believe
12
Some questions
  • Diversification of working time arrangements
    facilitates labour market participation work to
    fit personal circumstances
  • but flexible working arrangements only
    spreading slowly
  • Part-time work is the dominant form of flexible
    working time. Highly gendered. Quality work?
  • Work-life balance satisfaction increases as
    volume of worked hours decreases

13
And reflecting deeper upon effects
  • still scarring effects from fragmented careers
  • Establishment survey HR managers as well as
    employee representatives indicate negative
    consequences of part-time work
  • How to deal with child bearing and rearing
  • Back to work (or not) very differently organised
    in different countries
  • Part-time
  • Child care facilities, incl. out of school care
  • Parental leave for men and women effect on
    careers
  • (Engendered) career choices at the kitchen table
  • life course project
  • UE spells/career breaks have a significant
    adverse effect on future career, but speed of
    recovery depends on system.
  • Also possibility of these alternative
    possibilities might allow for LM attachment
    rather than drop out (but also here differences)
  • Social protection rights of fragmented careers

14
Going deeper into the reflection of impact of
more flexibility for different kinds of workers
  • We have developed four indicators to measure and
    analyse the security dimension of flexicurity
  • Job security risk of loosing the current
    occupation ? objective and subjective job
    insecurity
  • decreases as education increases
  • decreases as age increases.
  • no difference by gender
  • Employment security risk of not being able to
    get a new job in the event of loosing the current
    one ? employability
  • It increases with education
  • it increases with tenure up to about 20 years,
    then it decreases
  • once controlling for all this, it decreases with
    past experience (ageing)
  • It is lower for female workers
  • Income security risk of not being able to keep
    the same standard of living in the event of non
    employment? vulnerability
  • Low-educated individuals appear to be the most
    vulnerable group,
  • Prime age least vulnerable.
  • No difference by gender
  • Combination security (risk of not being able to
    reconcile work and family life). We do not
    consider it an indicator but a dimension of
    analysis.

15
A possible clustering of negative features
  • When an individual experiences high objective job
    insecurity, also his/her subjective job
    insecurity is likely to be high, and viceversa.
  • When an individual experiences high vulnerability
    s/he is also likely to experience high objective
    and subjective job insecurity.
  • Individuals experiencing high employability are
    also likely to experience low levels of
    (objective and subjective) job insecurity and
    vulnerability
  • The correlations are stronger among female
    workers
  • The correlations become weaker as education
    increases
  • The correlations become weaker as age increases

16
Linked to macro factors
  • Workers in countries with more generous
    unemployment benefits feel less insecure
  • Employability is higher in countries where
    lifelong learning participation rates are higher
  • Workers seem to be less vulnerable in countries
    characterized by a higher decommodifying
    welfare system

17
Thank you
  • More info www.eurofound.europa.eu
  • Email gve_at_eurofound.europa.eu

18
Objective job insecurity
  • We quantify the expectations regarding the future
    tenure in ones current job using objective
    indicators, such as
  • type of contract
  • elapsed tenure
  • public / private sector
  • small / large firm
  • Individual objective job insecurity
  • decreases as education increases
  • decreases as age increases.
  • no difference by gender
  • EWCS samples working individuals this implies
    that women in the survey (working women) are more
    selected, more able (with respect to abilities
    valued by the labour market) than the average
    woman in the population.

19
Subjective job insecurity
  • Asking directly workers about the perception they
    have about the stability of their current
    employment relationship.
  • How much do you agree or disagree with I might
    lose my job in the next 6 months
  • no difference by gender
  • it decreases with increasing education
  • it decreases as age increases
  • Job insecurity feelings decrease as income
    increases

20
Employability
  • Chances to get a new job in the event of loosing
    the current one
  • elements accumulated at school and during all
    previous job experiences (education, experience
    and tenure are well known measures of human
    capital)
  • elements accumulated on the job (the specific
    contribution of the EWCS)
  • Factor analysis produces three factors
  • learning
  • training
  • task rotation
  • Also summarized in one on-the-job total
    employability

21
Employability
  • It increases with education
  • it increases with tenure up to about 20 years,
    then it decreases
  • once controlling for all this, it decreases with
    past experience (ageing)
  • It is lower for female workers.
  • While the formal training element of
    employability is higher for women, the other two
    factors are higher for men.
  • Training and task rotation decrease with age,
    while learning is highest among prime age workers

22
Vulnerability
  • Vulnerability is the potential inability of
    people to withstand income losses eventually
    associated with job loss, sickness, maternity ...
  • Household structure plus the institutional safety
    net eventually available to the individual in
    need.
  • Low-educated individuals appear to be the most
    vulnerable group,
  • Prime age least vulnerable.
  • No difference by gender

23
Vulnerability and decommodification
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