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© Federal Statistical Office of Germany, Labour Market
Indicators on Quality of Employment
Availability, relevance and recommendations from the German point of view
Seminar of the Task Force on Quality of EmploymentGeneva, 14-16 October 2009
Slide 2© Federal Statistical Office of Germany, Labour Market
Agenda
How did it work ?
Experience with the indicators
Missing groupsPossible new indicators
Conclusions
Slide 3© Federal Statistical Office of Germany, Labour Market
How did it work?
30 proposed indicators (Basis: List provided on 10 August 2009)
2 not available at all 1 not fully available 5 available in a
similar definition only
Other possible and new indicators
Child labour: no data available
Child labour: data available for children aged 15-17 years
Average weekly earnings Paid leave Sick leave Collective wage bargaining
Dimension 1c 4 indicators Dimension 2 1 indicator Dimension 3a
1 indicator Dimension 7 8 indicators
outcome in Germany: 48
indicators
Slide 4© Federal Statistical Office of Germany, Labour Market
How did it work? IISources used: Labour Force Survey (LFS) European Structure of Earnings Survey
(SES) European Statistics on Accidents at Work
(ESAW) European Working Conditions Survey
(EWCS) National Labour Office National Accounts Volume of Labour Accounts (national
estimation on hours worked)
Slide 5© Federal Statistical Office of Germany, Labour Market
Report on selected indicators
Sub-Dimensions Fair Treatment Non-wage Pecuniary Benefits Part-time Employment in Germany Balancing Working and Non-working Life Lifelong Learning Workplace Relationships
Slide 6© Federal Statistical Office of Germany, Labour Market
Sub-Dimension was cancelled as it was decided to analyse all indicators by population groups
Gender and Age easily availableImmigrants partly available for non-nationalsEthnic minorities minor relevance in GermanyIndigenous population minor relevance in GermanyPersons with disabilities only little information available
Recommendation find some more specific indicators on fair treatment in employment
Dimension 1: Safety and Ethics of EmploymentFair treatment in employment
Slide 7© Federal Statistical Office of Germany, Labour Market
Dimension 1: Safety and Ethics of Employment
Results for some indicators on fair treatment 1998 2008
Employed women as a share in total employment 43.2% 46.0%Occupational segregation by sex 42.9% 38.9%Occupational segregation by citizenship -
22.4%Female share of employment in managerial and total
employment ISCO 1
administrative occupations (ISCO 1) 1.9 % 26.2 %
Recommendation keep (some) special indicators on fair treatment in employment
Fair treatment in employment
Slide 8© Federal Statistical Office of Germany, Labour Market
Dimension 2: Income and BenefitsNon wage pecuniary benefits
Average number of days of paid annual leave…difference between full-time and part-time employees
0
5
10
15
20
25
30
35
Total number ofemployees
full timeemployees
part timeemployees
full timeequivalent
full timeequivalent
...contractual paid annual leave ...paid annualleave incl. special
leave andmaternity leave
day
s
Paid annual leave
100% of the employees are by law entitled to paid annual
leave
No data available on used paid annual leave But on average number of days per employee
(two sources: SES and IAB volume of labour accounts)
Source: SES 2006 and IAB Volume of Labour Accounts 2006
Slide 9© Federal Statistical Office of Germany, Labour Market
Dimension 2: Income and BenefitsNon wage pecuniary benefits
Sick leave 100% of the employees are by law entitled to paid sick leave
No data available on used sick leave but
on average number of days per employee
on number of employees in sick leave during a specific period
(Source: IAB volume of labour accounts)
0
1
2
3
4
5
6
7
8
9
10
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
da
ys
0
1
2
3
4
5
6
7
8
9
10
%
Average number of days of sick leave per employee per year
Share of employees who have been on sick leave
Source: IAB Volume of Labour Accounts 2006
Slide 10© Federal Statistical Office of Germany, Labour Market
Dimension 2: Income and BenefitsNon wage pecuniary benefits
Problems: - SES results: only available for enterprises in NACE C to O, not L with more than 10 employees
- no weekly earnings available (only hourly or monthly)
- Volume of Labour Accounts are based on several sources. It is questionable whether
similar accounts exist in (all) other countries.
Recommendation give clear definitions on the indicators include the Gender Pay Gap as an indicator
Slide 11© Federal Statistical Office of Germany, Labour Market
Dimension 3: Working Hours
25% work in part-time employment
Indicators on - income and benefits (Dimension 2)
- hours worked (Dimension 3) show low figures for Germany because they are calculated regarding total employment.
clear definition which groups to use for calculation
Part-time employment – a German problem?
total employment
full-time part-time full-time equivalent
not comparable
Comparable*
Comparable*
Comparable
* If harmonised definition of part-time is
used
Slide 12© Federal Statistical Office of Germany, Labour Market
Dimension 3: Working Hours
0
5
10
15
20
25
30
35
40
45
50
AT
BE
BG
CH
CY
CZ
DE
DK
EE
ES FI
FR
GR
HR
HU IE IS IT LT
LU
LV M
MT
NL
NO
PL
PT
RO
SE SI
SK
TR
UK
%
Part-time employment in Europe
Slide 13© Federal Statistical Office of Germany, Labour Market
5 000
6 000
7 000
8 000
9 000
10 000
11 000
12 000
13 000
<=20hours
<=30hours
<=31hours
<=32hours
<= 35hours
self-declaredstatus
in 1
000
Dimension 3: Working HoursDefinitions of part-time
Source: German LFS 2008
20 hours 30 hours 31 hours 32 hours 35 hours self-declared
status
Point for discussion:20 hours as a definition of a typical side job?
25.7 %
25.9 %
26.7 %
31.5 %
25.9 %
17.5 %
Slide 14© Federal Statistical Office of Germany, Labour Market
Dimension 3: Working HoursReasons for working part-time
0%
10%
20%
30%
40%
50%
60%
70%
Coul
d no
tfin
d fu
ll-tim
ejo
b
Scho
oled
ucat
ion
ortrai
ning
illne
ss o
rdi
sabi
lity
Oth
erpe
rson
al o
rfa
mily
reas
ons
othe
r rea
sons
Look
ing
afte
rch
ildre
n or
inca
paci
tate
dad
ults
Former territory of the Federal Republik New Länder and Berlin East
Source: German LFS 2008
“Involuntary“ part-time
Involuntary covers only „could not find full-time job“
other reasons will not always be „voluntary“ e.g. - Looking after children or incapacitated adults - Other personal or family reasons
Reference is made to the main reason only
Slide 15© Federal Statistical Office of Germany, Labour Market
Dimension 3: Working Time ArrangementsFlexible work schedules
0%
5%
10%
15%
20%
25%
30%
35%
40%
Fixed startand end of aworking day
Staggeredworkinghours,
banded startand end
Workingtime
banking withpossibility
only to takehours off
Workingtime
banking withpossibility to
take fulldays off
Start andend of
working dayvarying byindividual
agreement
Determinesown workschedule(no formal
boundaries)
Share of employees in flexible work schedules
Very high relevance
Comparability: European wide
Problems:available in LFS ad hoc-Module 2004 only
Source: LFS ad hoc-module 2004
Slide 16© Federal Statistical Office of Germany, Labour Market
Dimension 3: Working Hours and Working Time Arrangements Problems:
Lack of harmonised definition of part-time “Involuntary“ part-time rate might be misleading Flexible Work Schedules are only asked in ad hoc-
Modules
Recommendations give a definition for part-time employment discuss “involuntary” part-time Include questions on flexible work schedules as
standard LFS variables
Slide 17© Federal Statistical Office of Germany, Labour Market
Dimension 4: Security of Employment and Social Protection Problems:
Indicators depend very much on institutional and legal context
Contributing to a pension fund and the unemployment insurance is mandatory in Germany except for certain (heterogeneous) groups
Economic trends may influence indicators
Recommendations: Discuss relevance and comparability of proposed
indicators Include new indicator on employees working for
temporary work agencies
Slide 18© Federal Statistical Office of Germany, Labour Market
Dimension 6: Skills Development and Life-long Learning Job Training
0%
5%
10%
15%
20%
25%
last 4 weeks last 12 month
Job training in the …
Job training in the last 4 weeks (LFS) vs. last 12 months (German Microcensus)
Source: LFS 2008 and German Microcensus 2008
Slide 19© Federal Statistical Office of Germany, Labour Market
Dimension 6: Skills Development and Life-long Learning Skill missmatch
Calculation via ISCED - ISCO classification vs. Targeted question in EWCS
0%
5%
10%
15%
20%
25%
30%
less education than needed more education than needed
LFS via ISCO-ISCED EWCS
Source: LFS 2008 and EWCS 2005
Slide 20© Federal Statistical Office of Germany, Labour Market
Dimension 6: Skills Development and Life-long Learning Problems:
Most indicators heavily rely upon the codification of occupations according to ISCO (not straightforward in Germany)
Recommendations: Implications for international comparability Recent job training needs harmonisation (4 weeks
vs. 12 months)
Slide 21© Federal Statistical Office of Germany, Labour Market
Dimension 7: Workplace RelationshipsFour indicators similar to those discussed
before Share of employees who feel
Results they have very good friends at work
69.3 % they get assistance from their superior/boss
59.1 % they have been a victim of discrimination at work
7.1 %
they have been harassed at work 4.5 % Source: EWCS 2005
Slide 22© Federal Statistical Office of Germany, Labour Market
Dimension 7: Intrinsic Nature of Work
Four indicators similar to those discussed before Share of employees who feel
Results they do "useful" work 77.4 % receive regular feedback from their supervisor 66
% they are able to apply their own ideas in work
45.8 % satisfied with their working conditions 88.2 %
Source: EWCS 2005
Slide 23© Federal Statistical Office of Germany, Labour Market
Dimension 7: Workplace Relationships and Intrinsic Nature of Work Source: EWCS 2005, national survey
Problems: small sample size for big countries
Recommendations: include “soft” indicators in the LFS
(?)
Slide 24© Federal Statistical Office of Germany, Labour Market
Missing groups in indicators Self employed
Possible aspects for indicators: - entrepreneurial freedom- dependency upon individual clients
- degree to which work is carried out upon detailed constructions of the client
Possible Source: LFS after implementation of a set of questions on self employed
Unpaid family members Persons in informal employment
Slide 25© Federal Statistical Office of Germany, Labour Market
New indicators proposed by GermanyChild labour: - Work in the evening or at night
Fair treatment: - Female share of employment in managerial and administrative occupations (ISCO 1)
- Further indicators on population groups
Benefits from Employment: - Career opportunities in current job
Working hours: - Employees working few hours (side jobs)
Work-life Balance: - Employees who feel time stressed - Time used for commuting
Security of Employment: - Employees working for a temporary work agency
- Laps of time since the start of the main job- Employees who changed their job in the last 12
months
Skills: - Targeted Question on skill mismatch
Slide 26© Federal Statistical Office of Germany, Labour Market
General comments
1) Precise definitions are needed2) as well as
Formulas Preferred source Concepts to be used
Employed persons / employees / economically active population
Age boundaries / activity branches / thresholds
Recommended operationalisation
3) Some additional indicators should be discussed
Slide 27© Federal Statistical Office of Germany, Labour Market
ConclusionsMost indicators can provided for Germany, but:
not necessarily on a yearly basis (SES, LFS Ad hoc Modules)
with large differences regarding timeliness with some deviations from the (rough)
definitions
© Federal Statistical Office of Germany, Labour Market
Many Thanks for your attention!
Katharina PuchFederal Statistical Office Germany, [email protected]
Slide 29© Federal Statistical Office of Germany, Labour Market
Point for discussion: Possible new indicators
Indicator on children working in atypical hours
Female share of employment in managerial and administrative occupations (ISCO 1)
Time used for commuting
Rate of employees working for a temporary work agency
Slide 30© Federal Statistical Office of Germany, Labour Market
Dimension 1: Safety and Ethics of EmploymentIndicator on children* working in atypical hours
0.0%
0.5%
1.0%
1.5%
2.0%
2.5%
3.0%
3.5%
usual hours worked >40 h actual hours worked >40 h
working at night working in the evening
Source: German LFS 2008
Of high international relevance Comparability: as much as the other indicators on child labour Recommendation include this indicator
* Children aged 15-17 years
Slide 31© Federal Statistical Office of Germany, Labour Market
Dimension 1: Safety and Ethics of EmploymentFemale share of employment in managerial and administrative occupations (ISCO 1)
Source: German LFS 2008
Of high relevance in Germany Comparability is given Recommendation include this indicator
0%
10%
20%
30%
40%
50%
60%
15 - 24 25 - 34 25 - 64 35 - 44 45 - 54 55 - 64Age
0.0%
0.5%
1.0%
1.5%
2.0%
2.5%
3.0%
Denominator: employment in managerial and administrative occupations (ISCO 1) - left scale
Denominator: total employment - right scale
Slide 32© Federal Statistical Office of Germany, Labour Market
Dimension 3: Balancing work and non-working life
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
below 10 10 - 30 30 - 60 60 and more samepremises
time used for commuting (from... to below... minutes)
Time used for commuting
Source: German Microcensus 2008
Of high international relevance Comparability should be given Recommendation include this indicator
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
below 10 10 - 25 25 - 50 50 and more samepremises
distance to work (from... to below... km)
Slide 33© Federal Statistical Office of Germany, Labour Market* Number of agency workers compared to total employed workforce
Dimension 4
Source: International Confederation of Private Employment Agencies (CIETTE) 2007
Rate of employees working for a temporary work agency*