1. 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

2. 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

3. Structure of cluster Finances, bank, insurance –Accountant –Bank clerk –Estate agent –Financial clerk –Financial institution branch manager –Mortgage clerk

4. Structure of cluster IT, automation, telecommunication –Database designer –IT applications programmer –IT systems administrator –Telecommunication equipment installer or repairer –Web designer

5. Structure of cluster Legal, administration, inspection, policy adviser –Judge –Lawyer –Policy adviser –Tax inspector

6. Structure of cluster Marketing, PR, advertising – Marketing manager

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

8. Survey response: experts

9. Survey response: occ. workers Table of occupation by LANDCODE occupationLANDCODETotal bedeenfritnlposp Accountant33348122 Bank clerk1214 Database designer11114 Estate agent112 Financial clerk21137 Financial institution branch manager11 IT applications programmer1153414 IT systems administrator1111329 Journalist11215 Lawyer11114 Marketing manager1236 Mortgage clerk112 Musical instrument maker123 Policy adviser11215 Portrait, wedding or other events photographer1113 Printing machine operator11 Tax inspector11 Telecommunication equipment installer or repairer11 Web designer3111118 Total1028121202614102

10. 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?

11. 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

12. Under/overskilling Formal Q = Q demandFrequencyPercent Yes 186 76.54 % No 42 17.28 % Don’t know 15 6.17 %

13. 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

14. Skillmatch (% yes by cluster) Care & welfare71% Clerks, staff & management75% Construction & cars81% Educ., research & personnel88% Inf., comm., finance, legal64% Manufacturing80% Trade & agriculture80% Transp, logistics, travel,…79%

15. Under/overskilling SelfFrequencyPercentCumulative Frequency Cumulative Percent Missing48189.4148189.41 I’m underqualified 132.4249491.82 I’m overqualified 213.9051595.72 Don’t know 234.28538100.00

16. Under/overskilling SelfFrequencyPercent I’m underqualified 1322.81% I’m overqualified 21 36.84 % Don’t know 23 40.35 %

17. Cluster conclusion impossible

18. CompetenceCareClerkConstrEduinfManutradetrans Commercial thinking9%28%23%13%55%11%79%31% Communicate82%91%66%92%85%63%89%80% Innovate work31% 19%44%28%21%7%12% Cope with stress78% 48%77%63%50%71%80% Networking40%47%16%47%48%11%50%13% Problem solving67%71%57%82%80%63%67%72% Apply professional knowledge 81%68%86%88%72%95%79%86%

19. Care & welfare11 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 & cars11 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 & personnel16 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, legal11 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 & mining4 1.83 26.67 4.88 5 2.28 33.33 6.02 6 2.74 40.00 11.11 15 6.85 Trade & agriculture6 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/garbage7 3.20 41.18 8.54 7 3.20 41.18 8.43 3 1.37 17.65 5.56 17 7.76 Total82 37.44 83 37.90 54 24.66 219 100.00 Working in teams or individually

20. 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?

21. 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?)