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Ageing and productivity

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Managers' ratings of employees. Employees self-assessment. Measure ... Germany: Assembly plant of a German car manufacturer any work day 2003-2004 ... – PowerPoint PPT presentation

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Title: Ageing and productivity


1
Ageing and productivity
  • Pekka Ilmakunnas
  • Vegard Skirbekk
  • Jan van Ours
  • Matthias Weiss

2
SET-UP
  • Setting the Stage
  • The Grand View
  • Empirical studies
  • Absenteeism
  • Working capacity
  • Productivity team level plant level
  • Conclusions and policy implications

3
  • SETTING THE STAGE

4
Labour force participation rates 2003
5
Population Western Europe 2010-2050 (1000)
6
Old age dependency ratio participation rates
50-64
  • Old age dep. ratio Population 65 / 20-64
  • Increase 2000-2050 moderate very large
  • Participation rates 50-64 high low
  • Extremes
  • Scandinavian countries, Switzerland, US
  • Southern Europe (including Italy)

7
Participation rates 2003 males
8
Older people should be forced to retire when
jobs are scarce
9
Age of labour market entry and exit by birth
cohort and educational attainment Italy
10
Duration of labour market attachment
11
Norway 1801 and 2001, ages 41-90both genders
12
Setting the Stage - conclusions
  • Long term developments people grow older and
    work fewer years
  • Work fewer years preferences, incentives and
    misperceptions
  • Future increase labour supply of older workers
  • Question Age ? Productivity?

13
  • THE GRAND VIEW

14
Some causes of age-variation in productivity
15
Components individual productivity
  • Physical strength
  • Experience
  • Cognitive abilities
  • Crystallized verbal ability age ?
  • Fluid speed, memory age ?

16
Importance of various abilities
17
Productivity variation of the life cycle
Combining abilities
18
Alternative relationships
19
Changes over time
  • Supply better health, better mental performance,
    longevity
  • Demand physical strength less important, reduced
    working day

20
The Grand View conclusions
  • Abilities not constant over age and cohorts
  • Various components are affect differently by
    ageing

21
Measuring productivity (not easy)
  • Managers ratings of employees
  • Employees self-assessment
  • Measure productivity directly
  • Linked employer-employee datasets

22
EMPIRICAL STUDIES on AGE and PRODUCTIVITY
  • Extensive margin absenteeism
  • Subjective measure work capacity
  • Intensive margin team plant level

23
Absenteeism data
  • Germany Assembly plant of a German car
    manufacturer any work day 2003-2004
  • Finland Quality of Working Life Survey (QWLS)
    2003

24
Individual absence rates assembly line German
car manufacturer
25
Age and absenteeism survey of Finnish employees
26
Absenteeism - conclusions
  • Age negative effect on incidence, positive
    effect on duration overall positive effect on
    absence rate
  • Age diversity higher absence rates

27
Working capacity self assessment
  • Assuming that your top working capacity would
    score 10 points
  • While your total inability to work would score 0
    points
  • How many points would you give your working
    capacity at the moment?

28
(No Transcript)
29
Top working capacity and the effect of chronic
illness
30
Working capacity - conclusions
  • Age ? Working capacity ?
  • Fall not dramatic, 0.3 points in 10 years
  • Faster drop for jobs in which physical strength
    is required
  • Technological change influence of age becomes
    smaller

31
Productivity intensive margin
  • Individual productivity available only in special
    cases
  • Plant level firm level data effects of
  • Age
  • Age diversity

32
Age Productivity team level
  • DaimlerChrysler 2003-2004
  • Productivity quality 1/errors
  • Decreases with age
  • Increases with job tenure
  • More age diverse teams make more mistakes

33
Age Productivity plant level
  • Finnish Linked Employer-Employee Data (FLEED)
    1990-2002
  • Industrial plants total factor productivity
  • No effect of age diversity

34
Relationship changes over time
35
Accounting for plant cohort and tenure effects
36
Conclusions
  • Age-productivity relationship complex and
    multidimensional
  • Relationship changes over time (across cohorts)
    and is affected by other factors
  • Absenteeism ?
  • Work capacity ?
  • Productivity ?
  • Age diversity?

37
Policy implications
  • Retirement plans
  • Anticipating early retirement reduces investments
    in human capital actuarial neutral pension
    schemes
  • Wage policies
  • Reduce seniority as a basis for wages
  • Human resource management
  • More easy to try to prevent dismissals of older
    workers than it is to encourage hiring of older
    workers
  • Employment Protection Legislation
  • Experience rating of dismissal costs

38
Negative effects of age on productivity should
not be underestimated
39
Should not be exaggerated either
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