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Measuring Total Factor Productivity, Technical Change and the Rate of Returns to Research and Development

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  • Nguyen, Sang V.
  • Kokkelenberg, Edward C.

Abstract

Recent research indicates that estimates of the effect of research and development (R&D) on total factor productivity growth are sensitive to different measures of total factor productivity. In this paper, we use establishment level data for the flat glass industry extracted from the Census Bureau's Longitudinal Research Database (LRD) to construct three competing measures of total factor productivity. We then use these measures to estimate the conventional R&D intensity model. Our empirical results support previous finding that the estimated coefficients of the model are sensitive to the measurement of total factor productivity. Also, when using microdata and more detailed modeling, R&D is found to be a significant factor influencing productivity growth. Finally, for the flat glass industry, a specific technical change index capturing the learning-by-doing process appears to be superior to the conventional time trend index.
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  • Nguyen, Sang V. & Kokkelenberg, Edward C., 1990. "Measuring Total Factor Productivity, Technical Change and the Rate of Returns to Research and Development," Working Papers 179215, Cornell University, Department of Applied Economics and Management.
    • Handle: RePEc:ags:cudawp:179215
    DOI: 10.22004/ag.econ.179215
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    References listed on IDEAS

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    1. Zvi Griliches, 1973. "Research Expenditures and Growth Accounting," International Economic Association Series, in: B. R. Williams (ed.), Science and Technology in Economic Growth, chapter 3, pages 59-95, Palgrave Macmillan.
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    3. Maddison, Angus, 1987. "Growth and Slowdown in Advanced Capitalist Economies: Techniques of Quantitative Assessment," Journal of Economic Literature, American Economic Association, vol. 25(2), pages 649-698, June.
    4. Zvi Griliches, 1984. "R&D, Patents, and Productivity," NBER Books, National Bureau of Economic Research, Inc, number gril84-1, March.
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    7. Donald Siegel & Frank R Lichtenberg, 1989. "Using Linked Census R&D-Lrd Data To Analyze The Effect Of R&D Investment On Total Factor Productivity Growth," Working Papers 89-2, Center for Economic Studies, U.S. Census Bureau.
    8. Berndt, Ernst R & Khaled, Mohammed S, 1979. "Parametric Productivity Measurement and Choice among Flexible Functional Forms," Journal of Political Economy, University of Chicago Press, vol. 87(6), pages 1220-1245, December.
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    Cited by:

    1. Hall, Bronwyn H. & Mairesse, Jacques & Mohnen, Pierre, 2010. "Measuring the Returns to R&D," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1033-1082, Elsevier.
    2. Wayne B Gray & Ronald J Shadbegian, 1994. "Pollution Abatement Costs, Regulation And Plant-Level Productivity," Working Papers 94-14, Center for Economic Studies, U.S. Census Bureau.
    3. Shadbegian, Ronald J. & Gray, Wayne B., 2005. "Pollution abatement expenditures and plant-level productivity: A production function approach," Ecological Economics, Elsevier, vol. 54(2-3), pages 196-208, August.
    4. Emi Nakamura & Masao Nakamura (presenter) & Takanobu Nakajima, 2004. "Measuring Firms’ R&D Effects on Technical Progress: Japan in the 199," Econometric Society 2004 Far Eastern Meetings 414, Econometric Society.
    5. Kaloyan Ganev, 2005. "Measuring Total Factor Productivity: Growth Accounting for Bulgaria," GE, Growth, Math methods 0504004, University Library of Munich, Germany, revised 21 Apr 2005.
    6. Lucia Foster & Cheryl Grim, 2010. "Characteristics of the Top R&D Performing Firms in the U.S.: Evidence from the Survey of Industrial R&D," Working Papers 10-33, Center for Economic Studies, U.S. Census Bureau.

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