How well do online job postings match national sources in European countries?: Benchmarking Lightcast data against statistical and labour agency sources across regions, sectors and occupation

Wessel Vermeulen and Fernanda Gutierrez Amaros

No 2024/02, OECD Local Economic and Employment Development (LEED) Papers from OECD Publishing

Abstract: Data on online job postings represents an important source of information for local labour markets. Many countries lack statistics on labour demand that are sufficiently up-to-date and disaggregated across regions, sectors and occupations. Web-scraped data from online job postings can provide further insights on the trends in labour demand and the skills needed across regions, sectors and occupations. This paper assesses the comparability and validity between Lightcast and other data sources for Austria, Belgium, Bulgaria, Germany, Hungary, the Netherlands, Portugal, Romania, Spain and Sweden, for the years 2019 to 2022 across regions, sectors and occupations. It concludes with some recommendations for labour market analysts that want to use data on online job postings for assessing labour demand trends.

Keywords: big data; Lightcast (Burning Glass); online job postings; unconventional data sources; vacancy data (search for similar items in EconPapers)
JEL-codes: C89 J23 J29 J63 O50 R12 Y1 (search for similar items in EconPapers)
Date: 2024-03-11
New Economics Papers: this item is included in nep-big, nep-eur, nep-lma, nep-tra and nep-ure
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Persistent link: https://EconPapers.repec.org/RePEc:oec:cfeaaa:2024/02-en

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