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
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 offi...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Paris
OECD Publishing
2024
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| Schriftenreihe: | OECD Local Economic and Employment Development (LEED) Papers
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (65 Seiten) 21 x 28cm |
| DOI: | 10.1787/c17cae09-en |
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| indexdate | 2024-12-09T19:00:23Z |
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| language | English |
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| spelling | Tsvetkova, Alexandra Verfasser aut 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 ... [et al] Paris OECD Publishing 2024 1 Online-Ressource (65 Seiten) 21 x 28cm txt rdacontent c rdamedia cr rdacarrier OECD Local Economic and Employment Development (LEED) Papers 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 Employment Urban, Rural and Regional Development Industry and Services D'Amico, Elettra ctb Lembcke, Alexander ctb Knutsson, Polina ctb https://doi.org/10.1787/c17cae09-en Verlag kostenfrei Volltext |
| spellingShingle | Tsvetkova, Alexandra 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 Employment Urban, Rural and Regional Development Industry and Services |
| title | 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 |
| title_auth | 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 |
| title_exact_search | 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 |
| title_full | 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 ... [et al] |
| title_fullStr | 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 ... [et al] |
| title_full_unstemmed | 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 ... [et al] |
| title_short | How well do online job postings match national sources in large English speaking countries? |
| title_sort | 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 |
| title_sub | Benchmarking Lightcast data against statistical sources across regions, sectors and occupations |
| topic | Employment Urban, Rural and Regional Development Industry and Services |
| topic_facet | Employment Urban, Rural and Regional Development Industry and Services |
| url | https://doi.org/10.1787/c17cae09-en |
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