Arbeitspapier

The professional lens: What online job advertisements can say about occupational task profiles

Data from online job advertisements are increasingly used in the emerging area of "skills intelli-gence" to describe labour market dynamics and the demand for skills in different occupations. Col-lecting this data involves gathering unstructured information from the internet and processing it into structured datasets, which may provide a biased description of the labour market. We present a framework for these different sources of bias, in terms of representativeness of occupations and their task content. We analyse the Nova UK dataset of online job advertisements from Burning Glass Technologies, containing over 60m individual job ads for the United Kingdom from 2012-2020. We compare the occupation task profiles embedded in this data with the JRC-Eurofound Task Database, through a new Skill-Task Dictionary. The dictionary classifies the rich but unstructured information on "skills" describing individual occupations into the hierarchical Task Taxonomy devel-oped by the JRC and Eurofound, and measured through occupation surveys. In general, we find that the task profile implied in job advertisements is relatively consistent with the EU Task Database across most occupations, especially for intellectual and social tasks, and for tools of work. However, online job advertisements in general (and Nova UK in particular) tend to focus especially on profes-sional occupations, which are relatively better represented in their numbers and in their variety of skills and tasks, relative to less qualified occupations. We enumerate several types of bias that can occur with this data, and discuss possible future applications.

Sprache
Englisch

Erschienen in
Series: JRC Working Papers Series on Labour, Education and Technology ; No. 2021/13

Klassifikation
Wirtschaft
Thema
Skills
Tasks
Online Job Advertisements
Job Vacancies

Ereignis
Geistige Schöpfung
(wer)
Sostero, Matteo
Fernández-Macías, Enrique
Ereignis
Veröffentlichung
(wer)
European Commission, Joint Research Centre (JRC)
(wo)
Seville
(wann)
2021

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Sostero, Matteo
  • Fernández-Macías, Enrique
  • European Commission, Joint Research Centre (JRC)

Entstanden

  • 2021

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