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Knowledge spillovers and the timing of R&D policy

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We analyze how knowledge spillovers influence the optimal timing of R&D policy. Using numerical simulations we find that optimal subsidies to R&D may be rising over time even when the returns to knowledge is decreasing. The optimal time profile of the subsidies is determined by the elasticity of scale in the R&D production function, which again depends on both the returns to knowledge and the returns to labor.

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  • Geir H. Bjertnæs & Tom-Reiel Heggedal & Karl Jacobsen, 2010. "Knowledge spillovers and the timing of R&D policy," Discussion Papers 635, Statistics Norway, Research Department.
  • Handle: RePEc:ssb:dispap:635
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    1. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
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    5. Klette, Tor Jakob & Moen, Jarle & Griliches, Zvi, 2000. "Do subsidies to commercial R&D reduce market failures? Microeconometric evaluation studies1," Research Policy, Elsevier, vol. 29(4-5), pages 471-495, April.
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    Cited by:

    1. Argentino Pessoa, 2005. "“Ideas” driven growth: the OECD evidence," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 4(1), pages 46-67, April.

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    Keywords

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    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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