measuring the task frequencies of 430 4 digit isco occupational units in 13 countries
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Measuring the task frequencies of 430 4-digit ISCO occupational units in 13 countries. Brian Fabo Analyst, CELSI Data and Survey Manager, WageIndicator Bratislava Kea Tijdens Research coordinator, University of Amsterdam/AIAS. 27 .1 1 . 201 3. Outline. Explanation of the challenge

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measuring the task frequencies of 430 4 digit isco occupational units in 13 countries

Measuring the task frequencies of 430 4-digit ISCO occupational units in 13 countries

Brian Fabo

Analyst, CELSI

Data and Survey Manager, WageIndicator Bratislava

Kea Tijdens

Research coordinator, University of Amsterdam/AIAS

27.11. 2013

outline
Outline
  • Explanation of the challenge
  • EurOccupations approach:
    • Methods
    • Results
    • Conclusion
  • WageIndicator approach
    • What is WageIndicator?
    • How is the WI survey used
    • Time line and data intake so far
the academic challenge
The academic challenge
  • Academic relevance
    • occupation is a key variable in social sciences
    • cross-country comparisons based on assumption that similar occupational titles refer to same work activities
    • yet, an empirical basis for this assumption is lacking
  • EurOccupations project
    • FP6 project for developing an occupations database for comparative socio-economic research in European Union (2006–09): BEL, DEU, ESP, FRA, GBR, ITA, NLD, POL
    • Research Objective: Are occupations similar regarding work activities >> Does an Italian plumber engage in the same activities as a plumber from France, Poland or UK?
euroccupations methods
EurOccupations methods
  • Measuring 10 tasks for 160 occupations
    • 160 occupations selected from the EurOccupations database with1,440 titles
    • Selection: variation in skill level, gender composition, number of jobholders, coverage of entire labour market
    • Drafting 10 task descriptions (desk research) per occup.
  • Raters: experts and job-holders
    • Rating task frequency on a 5 point scale (never ..... daily)
    • Recruiting experts through networks EurOccupations teams (2468 experts rated 2950 occupations)
    • For some occupations no experts - > recruiting jobholders through national WageIndicator websites (1247 raters)
results
Results
  • Q1 Are occupations similar?
    • 51% of occupations lack of agreement or no agreement
    • 38% weak or moderate agreement
    • 12% strong agreement
  • Q2 Are occ’s similar within countries?
    • Spain 80%, Germany 58%, Netherl. 43%, Poland 48%
  • Q3 Are occ’s similar across countries?
    • Spain strong agreement, Germany weak agreement
    • Poland and Netherlands lack of agreement
  • Q4 Rate experts and jobholders similar?
    • Experts: 35% of occ’s at least moderate agreement
    • Jobholders: 50% of occ’s at least moderate agreement
euroccupations conclusions
EurOccupations conclusions
  • Content
    • We assume that occupations are similar across countries, but to a large extent they are not -> how to explain?
  • Methods
    • Empirical testing of task descriptions can be undertaken for a wide range of occupations across Europe, particularly when recruiting jobholders through Internet
    • Empirical testing of skill requirements can be undertaken for a wide range of occupations across Europe, but needs skill lists per occupation -> needs further development
    • Further research may even allow for an empirical underpinning of occupational dynamics: which processes are underlying the occupational formation?
what next how to collect data on tasks
What next: How to collect data on tasks?
  • WageIndicator Web Survey
    • WageIndicator survey – Covers 80 countries, gathers 1000s of cases monthly
    • Asks for occupation, using an extended version of the EurOccupations database(all occ’s coded according to ISCO08)
    • In addition to wage questions about working conditions, socio-economic characteristics
    • Tasks lists were included in the web survey, these show up depending on ticked occupation, asking to tick frequency on a 5-pt scale
measurement of task frequency
Measurement of task frequency
  • Tasks lists in the Web Survey
    • Tasks taken from ISCO-08 description of tasks for all 4-digit occupational units (in English)
    • Tasks lists for 427 of 433 units were prepared
    • For 6 so-called ‘not-elsewhere-classified occupations’ no descriptions were included
    • In total 3237 tasks (including few duplicates)on average 7.58 tasks per occupation
    • Tasks were translated into 7 languages for 13 countries
time line
Time line
  • November 2013: data collection started in:
  • Argentina, Australia, Belarus, Belgium, Brazil, Indonesia, Kazakhstan, Mexico, Netherlands, Russia, South Africa, Spain, UK
  • April-May 2014: first analysis
data intake
Data Intake
  • Up to January 2014 (included) the data intake is as follows:
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