Use of ISCO 88 (COM) in Statistics Belgium. Lisbon 15 September Astrid Depickere. Experience with ISCO at NIS Belgium. Labour Force Survey SILC Structure of Earnings Survey Population Census Household Budget Vacancy Survey. Other examples in Belgium (not NIS).
Lisbon 15 September
ISCO categories recoded into ESeC classes
1) Job title & job description given
bias due to incomplete or incorrect information provided by respondent
2) Interviewers interpretation
bias due to misinterpretation of interviewer
3) Registration by interviewer
bias due to incomplete registration of information given by respondent
4) Coding into ISCO or other classification (by interviewer or coder)
method bias (e.g. lookup system, order effect)
bias due to limited knowledge of coding scheme (& method)
1) Double coding in GES95 (KUL), based on job description given by interviewers: intercoder-reliability = 1/3 => different codes assigned in 66% of all cases !!!
2) Comparison between percentages ISCO categories in LFS versus SES
Coding in SES is considered to be better quality (objective, correcter)
- overrepresentation of management positions in LFS (=> overestimation of job level when self reported)
- overrepresentation of ‘others’ categories, ‘container’ categories in LFS (=> due to (bad) coding habits)
- underrepresentation of categories of ‘complicated’ jobs in LFS (coders are less inclined to pick jobs that they don’t understand very well)
1) Definition of Managers & treatment of supervisors:
Problem of distinguishing between the two.
Is a measurement problem.
- There is no generally accepted definition of ‘management level’ (kaders / cadres) in Belgium, is very company specific.
- There is a link with leadership, but this is not sufficient as a criterion.
- Linguistic difference within Belgium:
in French no distinction between manager and director (=‘directeur’)
in Dutch the two exist
- Overestimation of management jobs: respondents overestimate themselves + companies are very creative with job titles that indicate responsality (manager, supervisor, responsable, coordinator,…). E.g. floor manager. Link between job title and job content can be very weak.
Solution? Not on the theoretical level, but on the measurement level.
Split up job question (job title + job description), use additional questions (e.g. company size, sector) + interviewer/coder training
2) Nurses and Teachers
- In Belgium: two different levels of nursing, linked with education:
higher education (not university)
- Teachers in secondary education:
lower grade (12-14 year): higher education (not university).
higher grade (15-18 year): university education
=> some categories of teachers and nurses are misclassified in ISCO
- Similar problem with accountants in Belgium
- large variation in job titles (& job content)
- coding difficulties (large frequencies in ‘other’ category)
4) Skill level issue
- Skill level is a good proxy for complexity of information and has the advantage that it can be operationalised and taken into account in in the coding process in case of doubt.
- But (in the Belgian context): link between diploma and job becomes weaker:
- Splitting skill levels 2 and 4? increased detail in skill level will make the link between job and diploma even weaker.
5) Missing in ISCO
Planner (production or logistic)