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LFS data collections designs in Europe: Present situation and proposal for the future Arturo de la Fuente Eurostat

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Presentation on theme: "LFS data collections designs in Europe: Present situation and proposal for the future Arturo de la Fuente Eurostat"— Presentation transcript:

1 LFS data collections designs in Europe: Present situation and proposal for the future Arturo de la Fuente Eurostat

2 Parts of this presentation: Focus on structural variables and ad-hoc modules 1) Summary of national LFS collection designs for structural variables and ad-hoc modules 2) A Eurostat proposal for the future Presently in discussion in LAMAS

3 Visual representation

4 Present situation in ESS 1 country 18 countries 3 countries 6 countries 3 countries

5 LFS design for the future?

6 How to make it in practice? 1. Arrange LFS variables in modules (by homogeneous contents) 2. Group modules in very few blocks (with same periodicity) 3. Associate blocks to sample waves

7 Which modules? (list not final) 11 quarterly modules (52 variables) 7 annual modules (24 variables) 3 biennial modules (15 variables) 1 AHM (11 variables)

8 Which annual blocks? Block 1 Additional background (BACKGR) Block 2 Work details (JOBDET) 3. Household characteristics 4. Socio-econ. background (i.e. mainstat + income) 15. Previous work experience Total: 14 variables 10. Working time arrangements (biennial) 12. Second job 14. Looking for another job 19. Secondary info on participation in education 20. Participation in education and training in last 12 months (biennial) 21. health? (not decided yet) Total: 17 to 18 variables AHM in one block or the other depending on the subject that year

9 Which block in which wave? - Freedom for NSIs to establish wave structure and to decide which block in which wave - Provided some conditions met

10 Advantages of this approach 1. LFS modular structure used for sub-sampling 2. Rational use of the sub-sampling for structural variables 3. AHM and structural variables integrated 4. Harmonised wave approach implementation across countries 5. Better quality for AHM (no seasonal effects, joint exploitation with non-AHM variables)

11 Thank you!


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