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Modélisation non-linéaire de l'impact des TIC sur la productivité du travail

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  • Benjamin David

Abstract

This paper focuses on dynamic of diffusion of Information and Communications Technology (ICT) and their impact on labor productivity. Our contribution lies in taking into account the non-linearity of this relationship arguing successively integration time and a time when new productivity gains appear. The existence of this particular sequence is modeled using a Logistic Smooth Transition model (LSTR) which permits to verify the delayed effect assumed for nine of the twelve countries studied. Different values of the adjustment periods across them are related to the structural characteristics of economies considered.

Suggested Citation

  • Benjamin David, 2012. "Modélisation non-linéaire de l'impact des TIC sur la productivité du travail," EconomiX Working Papers 2012-51, University of Paris Nanterre, EconomiX.
  • Handle: RePEc:drm:wpaper:2012-51
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    References listed on IDEAS

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    1. Giuseppe Nicoletti & Stefano Scarpetta & Olivier Boylaud, 2000. "Summary Indicators of Product Market Regulation with an Extension to Employment Protection Legislation," OECD Economics Department Working Papers 226, OECD Publishing.
    2. Matilde Mas & Carlo Milana & Lorenzo Serrano, 2012. "Spain and Italy: Catching-up and Falling Behind – Two Different Tales of Productivity Slowdown," Chapters,in: Industrial Productivity in Europe, chapter 6 Edward Elgar Publishing.
    3. Mirko Draca & Raffaella Sadun & John Van Reenen, 2006. "Productivity and ICT: A Review of the Evidence," CEP Discussion Papers dp0749, Centre for Economic Performance, LSE.
    4. Robert J. Gordon, 2000. "Does the "New Economy" Measure Up to the Great Inventions of the Past?," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 49-74, Fall.
    5. repec:dgr:rugggd:200363 is not listed on IDEAS
    6. Gustavo Crespi & Chiara Criscuolo & Jonathan Haskel, 2006. "Information Technology, Organisational Change and Productivity Growth: Evidence from UK Firms," Working Papers 558, Queen Mary University of London, School of Economics and Finance.
    7. Timmer, Marcel P. & Ypma, Gerard & Ark, Bart van der, 2003. "IT in the European Union: driving productivity divergence?," GGDC Research Memorandum 200363, Groningen Growth and Development Centre, University of Groningen.
    8. David, P.A., 1989. "Computer And Dynamo: The Modern Productivity Paradox In A Not-Too Distant Mirror," The Warwick Economics Research Paper Series (TWERPS) 339, University of Warwick, Department of Economics.
    9. Il Houng Lee & Yougesh Khatri, 2003. "Information Technology and Productivity Growth in Asia," IMF Working Papers 03/15, International Monetary Fund.
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    13. Alessandra Colecchia & Paul Schreyer, 2001. "ICT Investment and Economic Growth in the 1990s: Is the United States a Unique Case? A Comparative Study of Nine OECD Countries," OECD Science, Technology and Industry Working Papers 2001/7, OECD Publishing.
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    More about this item

    Keywords

    ICT; Solow Paradox; Labor productivity; Delayed effect; LSTR model;

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

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