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The OECD STAN Database for industrial analysis: Sources and methods

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  • Peter Horvát

    (OECD)

  • Colin Webb

    (OECD)

Abstract

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.

Suggested Citation

  • Peter Horvát & Colin Webb, 2020. "The OECD STAN Database for industrial analysis: Sources and methods," OECD Science, Technology and Industry Working Papers 2020/10, OECD Publishing.
    • Handle: RePEc:oec:stiaaa:2020/10-en
    DOI: 10.1787/ece98fd3-en
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    Cited by:

    1. Giulia Aliprandi & Mona Baraké & Paul-Emmanuel Chouc, 2021. "Have European Banks left tax haven? Evidence from country-by-country data," Working Papers halshs-03350725, HAL.
    2. Ludovic Panon & Laura Lebastard & Michele Mancini & Alessandro Borin & Peonare Caka & Gianmarco Cariola & Dennis Essers & Elena Gentili & Andrea Linarello & Tullia Padellini & Francisco Requena & Jaco, 2024. "Inputs in Distress: Geoeconomic Fragmentation and Firms’ Sourcing," Working Papers 2436, Banco de España.
    3. Federico Fantechi & Ugo Fratesi, 2023. "Border Effects on firm's productivity: The role of peripherality and territorial capital," Papers in Regional Science, Wiley Blackwell, vol. 102(3), pages 483-506, June.
    4. O'Reilly, Rohan & Humphreys, Lee & Prendiville, Siobhan, 2022. "Estimating Energy Substitution Parameters in GTAP-E," Conference papers 333429, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    5. Kris De Jaegher & Michal Soltes & Vitezslav Titl, 2023. "Easing Renegotiation Rules in Public Procurement: Evidence from a Policy Reform," CERGE-EI Working Papers wp757, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    6. Carroll, Sarah & Neumann, Rebecca, 2022. "The importance of international trade credit for industry investment," Journal of Economics and Business, Elsevier, vol. 122(C).
    7. Borsato, Andrea & Lorentz, André, 2023. "The Kaldor–Verdoorn law at the age of robots and AI," Research Policy, Elsevier, vol. 52(10).

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