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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| Main Author: | |
|---|---|
| Other Authors: | , , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Paris
OECD Publishing
2024
|
| Series: | OECD Local Economic and Employment Development (LEED) Papers
no.2024/01 |
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | 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. |
| Physical Description: | 1 Online-Ressource (65 Seiten) 21 x 28cm. |
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| spelling | Tsvetkova, Alexandra VerfasserIn 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. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OECD Local Economic and Employment Development (LEED) Papers no.2024/01 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 MitwirkendeR ctb Lembcke, Alexander MitwirkendeR ctb Knutsson, Polina MitwirkendeR ctb Vermeulen, Wessel MitwirkendeR ctb |
| 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 |
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