presentatie YDW database exploratie

Information cluster session
EurOccupations: Developing a detailed 8-country occupations database for
comparative socio-economic research in the European Union
Specific Targeted Research Project (STREP), EU FP6
Project period: May 2006-May 2009
EurOccupations expert conference, 20-05-08, Marseille, France
Yves De Weerdt


Structure of session
•

Presentation of the cluster
– Occupations and areas of work
– Overview of survey respons

•

Main questions

•

Formulation of hypotheses

•

Presentation of results

•

Discussion

•

Recruitment


Structure of cluster
•

Finances, bank, insurance
– Accountant
– Bank clerk
– Estate agent
– Financial clerk
– Financial institution branch manager
– Mortgage clerk


Structure of cluster
•

IT, automation, telecommunication
– Database designer
– IT applications programmer
– IT systems administrator
– Telecommunication equipment installer or repairer
– Web designer


Structure of cluster

•

Legal, administration, inspection, policy
adviser
– Judge
– Lawyer
– Policy adviser
– Tax inspector


Structure of cluster
• Marketing, PR, advertising
– Marketing manager


Structure of cluster
•

Media, graphic, printing, culture, design
– Journalist
– Musical instrument maker
– Portrait, wedding or other events photographer
– Printing machine operator


Survey response: experts
B
Accountant
Bank clerk
Database designer

Estate agent
Financial clerk
Financial institution branch manager
IT applications programmer
IT systems administrator
Lawyer
Marketing manager
Mortgage clerk
Policy adviser
Portrait, wedding or other
events photographer
Printing machine operator
Tax inspector
Web designer
Journalist
Judge
Telecommunication equipment
installer or repairer
Total

D

UK

FR

IT

1
1

5
1
1

NL

4
4
2
6
2
1
3
4
2
2
3
7

1
1
1

2

1
1

SP

3
1

1

2

1

2
3
3

1

2

PO
4

1
1

1

1

1

1

1
1

1
1

2
4
1
2
0
0
0
69


Table of occupation by LANDCODE

Survey response: occ. workers
occupation

LANDCODE

be

Accountant

3

Bank clerk

1

Database designer

1

de

en

fr

3

3

2

nl

4

po

8

sp

1

1
1

Estate agent
Financial clerk

it

2

Financial institution branch manager

1

1

4

1

1

2

1

1

3

7
1

1

5

3

4

14

1

1

3

2

9

Journalist

1

1

2

1

5

Lawyer

1

1

1

1

4

Marketing manager

1

2

3

Mortgage clerk

1

1

2

Musical instrument maker

1

2

3

1

2

IT systems administrator

Policy adviser

1

22
4

1

IT applications programmer
1

1

1

6

1

1

Printing machine operator

1

1

Tax inspector

1

1

Telecommunication equipment installer or repairer

1

1

3

Total

10

1
2

8

1

1

5

Portrait, wedding or other events photographer

Web designer

Total

1

3

1

1

1

1

8

21

20

26

14

102


MAIN questions
•

Often heard statement: the importance of skills is
taking over from the importance of education,
CERTAINLY in service or commercially oriented
sectors

•

Do we find support for this?

•

What are the implications for education and/or
recruitment practices?


HYPOTHESES
•

If our assumption is true, we expect:
– a high(er) level of skillsmismatch in this cluster
– that some sectorspecific skills are clearly more
important
– that ‘professional’ competences would be less
important in this cluster


Under/overskilling
Formal Q = Q demand

Frequency

Percent

Yes

186

76.54 %

No

42

17.28 %

Don’t know

15

6.17 %


•

1 out of 4 occupational workers says his or her
education does not match the required education
for the occupation

•

Over 90% know if their education matches the
occupational demands BUT we don’t know what
missing values mean…

•

Interesting differences between clusters


Skillmatch (% yes by cluster)

Care & welfare
Clerks, staff & management
Construction & cars
Educ., research & personnel
Inf., comm., finance, legal
Manufacturing
Trade & agriculture
Transp, logistics, travel,…

71%
75%
81%
88%
64%
80%
80%
79%


Under/overskilling
Self

Frequency

Percent

Cumulative
Frequency

Cumulative

Percent

Missing

481

89.41

481

89.41

I’m underqualified

13

2.42

494

91.82

I’m overqualified

21

3.90

515

95.72

Don’t know

23

4.28

538

100.00


Under/overskilling
Self

Frequency

Percent

I’m underqualified

13

22.81%

I’m overqualified

21

36.84 %

Don’t know

23

40.35 %


• Cluster conclusion impossible


Competence

Care

Clerk

Constr

Edu

inf

Manu

trade trans

Commercial thinking

9%

28%

23%

13%

55%

11%

79%

31%

Communicate

82%

91%

66%

92%

85%

63%

89%

80%

Innovate work

31%

31%

19%

44%

28%

21%

7%

12%

Cope with stress

78%

78%

48%

77%

63%

50%

71%

80%

Networking

40%

47%

16%

47%

48%

11%

50%

13%

Problem solving

67%

71%

57%

82%

80%

63%

67%

72%

Apply professional
knowledge

81%

68%

86%

88%

72%

95%

79%

86%


Working in teams or individually
Care & welfare

11
5.02
50.00
13.41

8
3.65
36.36
9.64

3
1.37
13.64
5.56

22
10.05
 
 

Clerks, staff & management (and army)

16
7.31
32.65
19.51

20
9.13
40.82
24.10

13
5.94
26.53
24.07

49
22.37
 
 

Construction & cars

11
5.02
40.74
13.41

5
2.28

18.52
6.02

11
5.02
40.74
20.37

27
12.33
 
 

Education, research & personnel

16
7.31
43.24
19.51

11
5.02
29.73
13.25

10
4.57
27.03
18.52

37
16.89
 
 

Information, communication, finance, legal

11
5.02
28.95
13.41

24
10.96
63.16
28.92

3
1.37
7.89
5.56

38
17.35
 
 

Manufacturing: food, metal, oil, gas & mining

4

1.83
26.67
4.88

5
2.28
33.33
6.02

6
2.74
40.00
11.11

15
6.85
 
 

Trade & agriculture

6
2.74
42.86
7.32

3
1.37
21.43
3.61

5
2.28
35.71
9.26

14
6.39
 
 

Transport, logistics, travel & cleaning/garbage

7
3.20
41.18
8.54

7
3.20
41.18
8.43

3
1.37
17.65
5.56

17
7.76

 
 

Total

82
37.44

83
37.90

54
24.66

219
100.00


Conclusions
•

Hypothesis mostly confirmed

•

BUT: (a) does this support the vision of our
experts, and (b) can we speak of a trend?

•

Are there other observations the experts
make based on these results?


Expert recruitment
• Do you have ideas about stimulating
participation of experts in this
research for this cluster? (e.g. are
there international networks we could
appeal to?)