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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