Information cluster session
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Transcript of Information cluster session
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?)