How well do online job postings match national sources in large English speaking countries?: Benchmarking Lightcast data against statistical sources across regions, sectors and occupations

Alexandra Tsvetkova, Elettra D'Amico, Alexander Lembcke, Polina Knutsson and Wessel Vermeulen

No 2024/01, OECD Local Economic and Employment Development (LEED) Papers from OECD Publishing

Abstract: This paper presents the first international assessment of the Lightcast vacancy data representativeness based on benchmarking against officially reported vacancy data in Australia, Canada, the United Kingdom and the United States. The analysis compares distributions in the Lightcast data versus official data across large (TL2) regions, industrial sectors and occupational categories. The analysis shows differences in representativeness across countries and on the three dimensions considered. In general, regional representativeness is considerably better than both occupational and sectoral representativeness.

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-lma
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Persistent link: https://EconPapers.repec.org/RePEc:oec:cfeaaa:2024/01-en

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