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The World Input-Output Database: Content, Concepts and Applications

Author

Listed:
  • Robert Stehrer
  • Los, Bart
  • Dietzenbacher, H.W.A.
  • Timmer, Marcel
  • Gaaitzen J. de Vries

    (Groningen University)

Abstract

This article describes the contents and construction of the World Input-Output Database (WIOD). This database contains annual time-series of world inputoutput tables, covering the period from 1995 onwards. Underlying concepts, construction methods and data sources are considered. In addition, the WIOD provides data on labour and capital inputs for forty countries, making it useful for a wide range of applications. We illustrate this by analysing recent trends in international production fragmentation, competitiveness and patterns of specialisation. We give guidance to prudent use and discuss possible improvements and extensions.

Suggested Citation

  • Robert Stehrer & Los, Bart & Dietzenbacher, H.W.A. & Timmer, Marcel & Gaaitzen J. de Vries, 2014. "The World Input-Output Database: Content, Concepts and Applications," GGDC Research Memorandum GD-144, Groningen Growth and Development Centre, University of Groningen.
    • Handle: RePEc:gro:rugggd:gd-144
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    Cited by:

    1. Thomas Grebel, 2019. "What a difference carbon leakage correction makes!," Journal of Evolutionary Economics, Springer, vol. 29(3), pages 939-971, July.
    2. Bart Hobijn, 2020. "The Supply-Side Origins of U.S. Inflation," Central Banking, Analysis, and Economic Policies Book Series, in: Gonzalo Castex & Jordi Galí & Diego Saravia (ed.),Changing Inflation Dynamics,Evolving Monetary Policy, edition 1, volume 27, chapter 7, pages 227-268, Central Bank of Chile.
    3. Simola, Heli, 2015. "Rebalancing of demand in China: Illustrating possible effects with an input-output analysis," BOFIT Policy Briefs 9/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
    4. Pessoa, João Paulo, 2016. "International competition and labor market adjustment," LSE Research Online Documents on Economics 66426, London School of Economics and Political Science, LSE Library.
    5. Bo Meng & Ming Ye & Shang‐Jin Wei, 2020. "Measuring Smile Curves in Global Value Chains," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(5), pages 988-1016, October.
    6. Alejandro Fernández-Cerezo & Enrique Moral-Benito & Javier Quintana, 2023. "A production network model for the Spanish economy with an application to the impact of NGEU funds," Working Papers 2305, Banco de España.
    7. Thanagopal, Dr. Thannaletchimy & Housset, Félix, 2017. "A quality-adjusted AIDS model in the study of French imports," International Economics, Elsevier, vol. 151(C), pages 85-99.
    8. Georgiadis, Georgios & Gräb, Johannes & Khalil, Makram, 2019. "Global value chain participation and exchange rate pass-through," Working Paper Series 2327, European Central Bank.
    9. K. Benkovskis & B. Bluhm & E. Bobeica & C. Osbat & S. Zeugner, 2020. "What drives export market shares? It depends! An empirical analysis using Bayesian model averaging," Empirical Economics, Springer, vol. 59(2), pages 817-869, August.
    10. Dani Rodrik, 2016. "Premature deindustrialization," Journal of Economic Growth, Springer, vol. 21(1), pages 1-33, March.
    11. Brumm, Johannes & Georgiadis, Georgios & Gräb, Johannes & Trottner, Fabian, 2019. "Global value chain participation and current account imbalances," Journal of International Money and Finance, Elsevier, vol. 97(C), pages 111-124.
    12. Syed Al-Helal Uddin, 2016. "Value-added Trade, Exchange Rate Pass-Through and Trade Elasticity: Revisiting the Trade Competitiveness," 2016 Papers pud11, Job Market Papers.
    13. Felice, Giulia & Tajoli, Lucia, 2021. "Trade balances and global value chains: Is there a link?," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 228-246.

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