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Technology shocks around the world

Author

Listed:
  • Martial Dupaigne

    (Toulouse School of Economics)

  • Patrick Feve

    (Banque de France)

Abstract

This article investigates the effects of a permanent technology shock on labor input in the major seven developed countries. The recent empirical literature which uses Structural Vector Autoregressions (SVAR) with long-run restrictions has argued that technology shocks lead to a persistent and significant decline in employment in most of the G7 countries. We claim that the international transmission of shocks prevents the use of existing SVAR models, but also suggests alternative specifications to properly uncover their effects. We show in a quantitative two-country model that a measure of labor productivity aggregated across countries is more immune to persistent, if not permanent, shocks and allows to accurately identify the responses of the labor input to a technology shock. Using labor productivity at the G7 aggregate level, we find that the response of employment changes critically in most of the major seven developed countries. (Copyright: Elsevier)

Suggested Citation

  • Martial Dupaigne & Patrick Feve, 2009. "Technology shocks around the world," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(4), pages 592-607, October.
  • Handle: RePEc:red:issued:08-23
    DOI: 10.1016/j.red.2008.12.002
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    References listed on IDEAS

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    Cited by:

    1. Olivier CARDI & Romain RESTOUT, 2023. "Why Hours Worked Decline Less After Technology Shocks?," Working Papers of BETA 2023-30, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    2. Bertinelli, Luisito & Cardi, Olivier & Restout, Romain, 2022. "Labor market effects of technology shocks biased toward the traded sector," Journal of International Economics, Elsevier, vol. 138(C).
    3. Thomet, Jacqueline & Wegmueller, Philipp, 2021. "Technology Shocks And Hours Worked: A Cross-Country Analysis," Macroeconomic Dynamics, Cambridge University Press, vol. 25(4), pages 1020-1052, June.
    4. Rujin, Svetlana, 2024. "Labor market institutions and technology-induced labor adjustment along the extensive and intensive margins," Journal of Macroeconomics, Elsevier, vol. 79(C).
    5. Carrillo Julio A. & Elizondo Rocío, 2015. "How Robust Are SVARs at Measuring Monetary Policy in Small Open Economies?," Working Papers 2015-18, Banco de México.
    6. Elmar Mertens, 2008. "Are Spectral Estimators Useful for Implementing Long-Run Restrictions in SVARs?," Working Papers 08.01, Swiss National Bank, Study Center Gerzensee.
    7. Mertens, Elmar, 2012. "Are spectral estimators useful for long-run restrictions in SVARs?," Journal of Economic Dynamics and Control, Elsevier, vol. 36(12), pages 1831-1844.
    8. Rujin, Svetlana, 2019. "What are the effects of technology shocks on international labor markets?," Ruhr Economic Papers 806, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    9. Lambrias, Kyriacos, 2011. "World Technology Shocks and the Real Euro-Dollar Exchange Rate," TSE Working Papers 11-261, Toulouse School of Economics (TSE).
    10. Martial Dupaigne & Patrick Fève, 2010. "Hours Worked and Permanent Technology Shocks in Open Economies," Open Economies Review, Springer, vol. 21(1), pages 69-86, February.
    11. Sangyup Choi & Myungkyu Shim, 2018. "Labor Market Dynamics in Developing Economies: the Role of Subsistence Consumption," Working papers 2018rwp-127, Yonsei University, Yonsei Economics Research Institute.
    12. Cover, James P. & Mallick, Sushanta K., 2012. "Identifying sources of macroeconomic and exchange rate fluctuations in the UK," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1627-1648.
    13. Kerstin Hotte & Melline Somers & Angelos Theodorakopoulos, 2022. "Technology and jobs: A systematic literature review," Papers 2204.01296, arXiv.org.

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    More about this item

    Keywords

    Technology shocks; Labor input; Vector autoregressions; Multi-country economy;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

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