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Issues in Assessing the Contribution of Research and Development to Productivity Growth

In: R&D and Productivity: The Econometric Evidence

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  • Zvi Griliches

Abstract

This article outlines the production function approach to the estimation of the returns to R&D and then proceeds to discuss in turn two very difficult problems: the measurement of output in R&D intensive industries and the definition and measurement of the stock R&D "capital." The latter concept leads to a discussion of modeling of the spillover effects of R&D and to suggestions for possible measurement of such effects via the concept of technological distance between firms and industries. Somewhat more familiar econometric problems (multicollinearity and simultaneity) are taken up in the next section and another section is devoted to estimation and inference problems arising more specifically in the R&D context. Several recent studies of returns to R&D are then surveyed, and the paper concludes with a plea for a lowering of expectations as to what the available data can tell us and with suggestions for ways of expanding the current data base in this field.
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Suggested Citation

  • Zvi Griliches, 1998. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," NBER Chapters,in: R&D and Productivity: The Econometric Evidence, pages 17-45 National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:8340
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    1. Berndt, Ernst R & Christensen, Laurits R, 1974. "Testing for the Existence of a Consistent Aggregate Index of Labor Inputs," American Economic Review, American Economic Association, vol. 64(3), pages 391-404, June.
    2. Mansfield, Edwin, 1980. "Basic Research and Productivity Increase in Manufacturing," American Economic Review, American Economic Association, vol. 70(5), pages 863-873, December.
    3. Edwin Mansfield & John Rapoport & Anthony Romeo & Samuel Wagner & George Beardsley, 1977. "Social and Private Rates of Return from Industrial Innovations," The Quarterly Journal of Economics, Oxford University Press, vol. 91(2), pages 221-240.
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