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220928 ||| eng |
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|a Horvát, Peter
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|a The OECD STAN Database for industrial analysis
|h Elektronische Ressource
|b Sources and methods
|c Peter, Horvát and Colin, Webb
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| 260 |
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|a Paris
|b OECD Publishing
|c 2020
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| 300 |
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|a 54 p
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| 653 |
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|a Science and Technology
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| 700 |
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|a Webb, Colin
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|a eng
|2 ISO 639-2
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| 989 |
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|b OECD
|a OECD Books and Papers
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|a OECD Science, Technology and Industry Working Papers
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| 028 |
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|a 10.1787/ece98fd3-en
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| 856 |
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|a oecd-ilibrary.org
|u https://doi.org/10.1787/ece98fd3-en
|x Verlag
|3 Volltext
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|a 600
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|a 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
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