1. Application of the ESeC on data of the Dutch Labour Force Survey: a comparison between years Sue Westerman Roel Schaart Service Centre for the Classifications of Education and Occupation Statistics Netherlands

2. Background: which socio-economic classifications are used at Statistics Netherlands Dutch Labour Force Survey: dataset used to apply the ESeC Application of the ESeC Results: distribution of the population into the ESeC classes over time Concluding remarks Outline of the presentation

3. (Dutch) Standard Classification of Occupations, SBC: based on skill level, skill specialisation and most important tasks. Derivations for: –EGP-class schema: based on occupations and on employment relations of industrial societies –International Socio-Economic Index of occupational status: based on educational level and earnings in job –Ultee&Sixma-06: measure for occupational prestige Socio-economic classification at Statistics Netherlands

4. Population All people aged 15 years and older, living in the Netherlands in private households Data collection 1987-2000: CAPI 2000 onwards: panel survey, first interview CAPI, next quarters CATI Data: Dutch Labour Force Survey

5. Application of the ESeC 9-class model and 3-class model: derivation according to ESeC user guide Unit of analysis: individual or household level Class 10, excluded System missing

6. Results Class structure over time Household position Sex Educational attainment Distribution of the population (15-64 years) according to ESeC class

7. Distribution of the population (15-64 years) into ESeC classes, 2005 SALARIAT WORKING CLASS INTERMEDIATE

8. Each class contains a substantial proportion of the population ranging from 5 – 30 %, with one exeption: class 5. Smallest proportion (< 0.1%) of the population is classified as farmers (class 5). Largest proportion (19%) of the population is classified as ‘lower professionals and managers’ (class 2). -production and operation managers -nursing and midwifery associate professionals -teaching professionals

9. Distribution of the population into ESeC classes, 1996-2005

10. Distribution has changed in 2005 compared to 1996: Strongest increase of the proportion in the salariat class (23 %  27 %). More gradual increase of the proportion in the intermediate class (16 %  18 %). Proportion in the working class remains rather stable throughout the years.

11. ESeC 3 class model: distribution by household position, 2005

12. Distribution of the population among the 3 ESeC classes varies by household position Living at parental home Single parent Living alone Cohabiting without children Cohabiting with children Proportion in salariat Proportion in non- employed

13. ESeC 9 class model, distribution by sex, 1996 and 2005

14. 7 - Lower sales and service = 3 - Intermediate occupations ↑ 5 - Small employers and self-employed (agriculture) ↑ 2 - Lower managers / professionals, higher supervisory / technicians ↑ 9 - Routine ↑ 1 - Large employers, higher managers / professionals ↑ 4 - Small employers and self-employed (non-agriculture) ↑ 6 - Lower supervisors and technicians ↑ 8 - Lower technical = ♂ Male proportion ♀ Female proportion ESeC 9 class model distribution by sex, 1996 and 2005

15. ESeC 9 class model distribution by educational attainment, 2005

16. ESeC 3 class model distribution by educational attainment, 1996 and 2005

17. All ESeC classes: shift towards higher level of educational attainment in 2005 compared to 1996 ESeC class 1: highest proportion of tertiary education (75 %), followed by class 2 and 3 (both 50%) ESeC classes 5 and higher: comparable educational attainment levels (Pre-)primary: 5 - 8% Lower secondary: 24% - 27% (Post-)secondary: 55% -58% Tertiary: 9% - 14% ESeC classes by educational attainment

18. Concluding remarks ESeC classes can be derived from data of the Dutch Labour Force Survey. Problems: Non-employed Household reference person Temporary jobs The composition of the ESeC classes changes over time for social variables such as education or sex. For interpretation of the changes insight in the underlying level, the socio-economic groups, would be helpful. This implies need for derivation material to derive the 2nd level of ESeC.