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How Robust is the R&D – Productivity relationship? Evidence from OECD Countries

Author

Listed:
  • Mosahid Khan

    (World Intellectual Property Organization, Geneva, Switzerland)

  • Kul B. Luintel

    (Cardiff Business School, Cardiff, United Kingdom)

  • Konstantinos Theodoris

    (Bank of England, London, United Kingdom)

Abstract

We examine the robustness of R&D and productivity relationship in a panel of 16 OECD countries. We control for fifteen productivity determinants predicted by different theoretical models. Following the advances in non-stationary panel data econometrics, we estimate four variants of thirteen specifications. All models appear co-integrated. Results are rigorously scrutinized through extensive bootstrap simulations and sensitivity checks. R&D and human capital emerge robust in all specifications making them universal drivers of productivity across nations. Most other determinants are also significant. Productivity relationships are heterogonous across countries depending on their accumulated stocks of knowledge and human capital.

Suggested Citation

  • Mosahid Khan & Kul B. Luintel & Konstantinos Theodoris, 2010. "How Robust is the R&D – Productivity relationship? Evidence from OECD Countries," WIPO Economic Research Working Papers 01, World Intellectual Property Organization - Economics and Statistics Division, revised Dec 2010.
  • Handle: RePEc:wip:wpaper:01
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    More about this item

    Keywords

    R&D Capital Stocks; Multifactor Productivity; Heterogeneity; Panel Cointegration; Bootstrap Simulations.;
    All these keywords.

    JEL classification:

    • F12 - International Economics - - Trade - - - Models of Trade with Imperfect Competition and Scale Economies; Fragmentation
    • F2 - International Economics - - International Factor Movements and International Business
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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