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Testing the Pooling Assumption in an Industry Panel of R&D Investment: What Do We Learn?

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Abstract

In this paper we test the pooling assumption for the determinants of industry R&D investment. Most studies consider pooled estimates, but if the parameters differ across industries, pooled coefficients will not provide reliable estimates of individual industry effects. Moreover, pooled coefficients may not even be consistent estimates of the average. For a panel of UK manufacturing industries we find that pooling is only valid for output fluctuations, lagged R&D and real interest rates. Implementing the test results into our model, we find government funding is only significant for low-tech R&D. Skilled labour and foreign R&D matter only in high-tech industries.

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  • Bettina Becker, 2004. "Testing the Pooling Assumption in an Industry Panel of R&D Investment: What Do We Learn?," National Institute of Economic and Social Research (NIESR) Discussion Papers 241, National Institute of Economic and Social Research.
    • Handle: RePEc:nsr:niesrd:241
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    Cited by:

    1. Mark Rogers, 2010. "R&D and productivity: using UK firm-level data to inform policy," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 37(3), pages 329-359, July.
    2. Moyo, Busani, 2013. "Power infrastructure quality and manufacturing productivity in Africa: A firm level analysis," Energy Policy, Elsevier, vol. 61(C), pages 1063-1070.
    3. Bettina Becker & Nigel Pain, 2008. "What Determines Industrial R&D Expenditure In The Uk?," Manchester School, University of Manchester, vol. 76(1), pages 66-87, January.

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