The OECD STAN Database for industrial analysis: Sources and methods
This paper summarises and describes the variables, industries, methods and sources used in the construction of the STructural ANalysis (STAN) industry database. The STAN database serves as a tool for analysing industrial performance at a relatively detailed level of industrial activity. It includes...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Paris
OECD Publishing
2020
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| Schriftenreihe: | OECD Science, Technology and Industry Working Papers
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | This paper summarises and describes the variables, industries, methods and sources used in the construction of the STructural ANalysis (STAN) industry database. The STAN database serves as a tool for analysing industrial performance at a relatively detailed level of industrial activity. It includes annual measures of output, value added and its components, as well as labour input, investment and capital stock from 1970 onwards. This allows for a wide range of comparative cross-country analyses focusing on, for example, productivity growth, competitiveness and economic structural change. A standard industry list allows for comparisons across countries and provides sufficient detail to focus on, for example, high R&D-intensive activities, high digital-intensive activities or detailed ICT industries. The industry list is compatible with those used in related OECD industry databases |
| Beschreibung: | 1 Online-Ressource (54 Seiten) |
| DOI: | 10.1787/ece98fd3-en |
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| spelling | Horvát, Peter Verfasser aut The OECD STAN Database for industrial analysis Sources and methods Peter Horvát and Colin Webb Paris OECD Publishing 2020 1 Online-Ressource (54 Seiten) txt rdacontent c rdamedia cr rdacarrier OECD Science, Technology and Industry Working Papers This paper summarises and describes the variables, industries, methods and sources used in the construction of the STructural ANalysis (STAN) industry database. The STAN database serves as a tool for analysing industrial performance at a relatively detailed level of industrial activity. It includes annual measures of output, value added and its components, as well as labour input, investment and capital stock from 1970 onwards. This allows for a wide range of comparative cross-country analyses focusing on, for example, productivity growth, competitiveness and economic structural change. A standard industry list allows for comparisons across countries and provides sufficient detail to focus on, for example, high R&D-intensive activities, high digital-intensive activities or detailed ICT industries. The industry list is compatible with those used in related OECD industry databases Science and Technology Webb, Colin ctb https://doi.org/10.1787/ece98fd3-en Verlag kostenfrei Volltext |
| spellingShingle | Horvát, Peter The OECD STAN Database for industrial analysis Sources and methods Science and Technology |
| title | The OECD STAN Database for industrial analysis Sources and methods |
| title_auth | The OECD STAN Database for industrial analysis Sources and methods |
| title_exact_search | The OECD STAN Database for industrial analysis Sources and methods |
| title_exact_search_txtP | The OECD STAN Database for industrial analysis Sources and methods |
| title_full | The OECD STAN Database for industrial analysis Sources and methods Peter Horvát and Colin Webb |
| title_fullStr | The OECD STAN Database for industrial analysis Sources and methods Peter Horvát and Colin Webb |
| title_full_unstemmed | The OECD STAN Database for industrial analysis Sources and methods Peter Horvát and Colin Webb |
| title_short | The OECD STAN Database for industrial analysis |
| title_sort | the oecd stan database for industrial analysis sources and methods |
| title_sub | Sources and methods |
| topic | Science and Technology |
| topic_facet | Science and Technology |
| url | https://doi.org/10.1787/ece98fd3-en |
| work_keys_str_mv | AT horvatpeter theoecdstandatabaseforindustrialanalysissourcesandmethods AT webbcolin theoecdstandatabaseforindustrialanalysissourcesandmethods |