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Measuring Total Factor Productivity, Technical Change And The Rate Of Returns To Research And Development

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Author Info
Sang V Nguyen
Edward C Kokkelenberg

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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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File URL: http://www.ces.census.gov/index.php/ces/cespapers?down_key=100152
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Publisher Info
Paper provided by Center for Economic Studies, U.S. Census Bureau in its series Working Papers with number 91-3.

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Date of creation: May 1991
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Handle: RePEc:cen:wpaper:91-3

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Web page: http://www.ces.census.gov

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Related research
Keywords: CES; economic; research; micro; data; microdata; chief; economist;

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References listed on IDEAS
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  1. 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. [Downloadable!]
  2. 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 1220-45, December. [Downloadable!] (restricted)
  3. Diewert, Walter E & Wales, Terence J, 1987. "Flexible Functional Forms and Global Curvature Conditions," Econometrica, Econometric Society, vol. 55(1), pages 43-68, January. [Downloadable!] (restricted)
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  4. Hall, Robert E, 1988. "The Relation between Price and Marginal Cost in U.S. Industry," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 921-47, October. [Downloadable!] (restricted)
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  1. Wayne B. Gray & Ronald J. Shadbegian, 1995. "Pollution Abatement Costs, Regulation, and Plant-Level Productivity," NBER Working Papers 4994, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  2. Ronald Shadbegian & Wayne Gray, 2003. "Pollution Abatement Expenditures and Plant-Level Productivity: A Production Function Approach," Working Papers 03-16, Center for Economic Studies, U.S. Census Bureau. [Downloadable!]
    Other versions:
  3. 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. [Downloadable!]
  4. Kaloyan Ganev, 2005. "Measuring Total Factor Productivity: Growth Accounting for Bulgaria," GE, Growth, Math methods 0504004, EconWPA, revised 21 Apr 2005. [Downloadable!]
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