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 D UK FR IT NL PO SP Accountant 4 4 Bank clerk 1 3 4 Database designer 1 1 2 Estate agent 5 1 6 Financial clerk 1 1 2 Financial institution branch manager 1 1 IT applications programmer 1 2 3 IT systems administrator 1 2 1 4 Lawyer 1 1 2 Marketing manager 2 2 Mortgage clerk 3 3 Policy adviser 2 1 1 3 7 Portrait, wedding or other events photographer 1 1 2 Printing machine operator 1 1 1 1 4 Tax inspector 1 1 Web designer 1 1 2 Journalist 0 Judge 0 Telecommunication equipment installer or repairer 0 Total 69

Survey response: occ. workersTable of occupation by LANDCODE

occupation LANDCODE Total

be de en fr it nl po sp

Accountant 3 3 3 4 8 1 22

Bank clerk 1 2 1 4

Database designer 1 1 1 1 4

Estate agent 1 1 2

Financial clerk 2 1 1 3 7

Financial institution branch manager 1 1

IT applications programmer 1 1 5 3 4 14

IT systems administrator 1 1 1 1 3 2 9

Journalist 1 1 2 1 5

Lawyer 1 1 1 1 4

Marketing manager 1 2 3 6

Mortgage clerk 1 1 2

Musical instrument maker 1 2 3

Policy adviser 1 1 2 1 5

Portrait, wedding or other events photographer 1 1 1 3

Printing machine operator 1 1

Tax inspector 1 1

Telecommunication equipment installer or repairer 1 1

Web designer 3 1 1 1 1 1 8

Total 10 2 8 1 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 71%

Clerks, staff & management 75%

Construction & cars 81%

Educ., research & personnel 88%

Inf., comm., finance, legal 64%

Manufacturing 80%

Trade & agriculture 80%

Transp, logistics, travel,… 79%

Under/overskilling

Self Frequency Percent CumulativeFrequency

CumulativePercent

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%

Care & welfare 115.0250.0013.41

83.6536.369.64

31.3713.645.56

2210.05  

Clerks, staff & management (and army) 167.3132.6519.51

209.1340.8224.10

135.9426.5324.07

4922.37  

Construction & cars 115.0240.7413.41

52.2818.526.02

115.0240.7420.37

2712.33  

Education, research & personnel 167.3143.2419.51

115.0229.7313.25

104.5727.0318.52

3716.89  

Information, communication, finance, legal 115.0228.9513.41

2410.9663.1628.92

31.377.895.56

3817.35  

Manufacturing: food, metal, oil, gas & mining 41.8326.674.88

52.2833.336.02

62.7440.0011.11

156.85  

Trade & agriculture 62.7442.867.32

31.3721.433.61

52.2835.719.26

146.39  

Transport, logistics, travel & cleaning/garbage 73.2041.188.54

73.2041.188.43

31.3717.655.56

177.76  

Total 8237.44

8337.90

5424.66

219100.00

Working in teams or individually

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?)