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

In: R&D and Productivity: The Econometric Evidence

  • Zvi Griliches

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.

(This abstract was borrowed from another version of this item.)

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This chapter was published in:
  • Zvi Griliches, 1998. "R&D and Productivity: The Econometric Evidence," NBER Books, National Bureau of Economic Research, Inc, number gril98-1, July.
  • This item is provided by National Bureau of Economic Research, Inc in its series NBER Chapters with number 8340.
    Handle: RePEc:nbr:nberch:8340
    Contact details of provider: Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
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