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The Structure of Firm R&D and the Factor Intensity of Production

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  • James D Adams

Abstract

This paper studies the influence of the structure of firm R&D, industry R&D spillovers, and plant level physical capital on the factor intensity of production. By the structure of firm R&D we mean its distribution across states and products. By factor intensity we mean the cost shares of variable factors, which in this paper are blue collar labor, white collar labor, and materials. We characterize the effect of the structure of firm R&D on factor intensity using a Translog cost function with quasi-fixed factors. This cost function gives rise to a system of variable cost shares that depends on factor prices, firm and industry R&D, and physical capital.

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Bibliographic Info

Paper provided by Center for Economic Studies, U.S. Census Bureau in its series Working Papers with number 97-15.

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Date of creation: Oct 1997
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Handle: RePEc:cen:wpaper:97-15

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

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  1. Jacques Mairesse & Bronwyn H. Hall, 1996. "Estimating the Productivity of Research and Development: An Exploration of GMM Methods Using Data on French & United States Manufacturing Firms," NBER Working Papers 5501, National Bureau of Economic Research, Inc.
  2. Hall, Bronwyn H. & Mairesse, Jacques, 1995. "Exploring the relationship between R&D and productivity in French manufacturing firms," Journal of Econometrics, Elsevier, vol. 65(1), pages 263-293, January.
  3. Hsiao,Cheng, 2003. "Analysis of Panel Data," Cambridge Books, Cambridge University Press, number 9780521522717, April.
  4. Griliches, Zvi, 1969. "Capital-Skill Complementarity," The Review of Economics and Statistics, MIT Press, vol. 51(4), pages 465-68, November.
  5. Adams, James D, 1990. "Fundamental Stocks of Knowledge and Productivity Growth," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 673-702, August.
  6. Eli Berman & John Bound & Zvi Griliches, 1993. "Changes in the Demand for Skilled Labor within U.S. Manufacturing Industries: Evidence from the Annual Survey of Manufacturing," NBER Working Papers 4255, National Bureau of Economic Research, Inc.
  7. Eric J. Bartelsman & Wayne Gray, 1996. "The NBER Manufacturing Productivity Database," NBER Technical Working Papers 0205, National Bureau of Economic Research, Inc.
  8. Paul M Romer, 1999. "Endogenous Technological Change," Levine's Working Paper Archive 2135, David K. Levine.
  9. Tor Jakob Klette, 1996. "R&D, Scope Economies, and Plant Performance," RAND Journal of Economics, The RAND Corporation, vol. 27(3), pages 502-522, Autumn.
  10. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
  11. Bernstein, Jeffrey I & Nadiri, M Ishaq, 1989. "Research and Development and Intra-industry Spillovers: An Empirical Application of Dynamic Duality," Review of Economic Studies, Wiley Blackwell, vol. 56(2), pages 249-67, April.
  12. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
  13. Bartel, Ann P & Lichtenberg, Frank R, 1987. "The Comparative Advantage of Educated Workers in Implementing New Technology," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 1-11, February.
  14. Boozer, Michael A., 1997. "Econometric Analysis of Panel Data Badi H. Baltagi Wiley, 1995," Econometric Theory, Cambridge University Press, vol. 13(05), pages 747-754, October.
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Cited by:
  1. Harabi, Najib, 2000. "Employment Effects of Ecological Innovations: An Empirical Analysis," MPRA Paper 4395, University Library of Munich, Germany.
  2. M. Piva & E. Santarelli & M. Vivarelli, 2003. "The Skill Bias Effect of Technological and Organisational Change: Evidenceand Policy Implications," Working Papers 486, Dipartimento Scienze Economiche, Universita' di Bologna.
  3. Lucy Chennells & John Van Reenen, 1999. "Has technology hurt less skilled workers? A survey of the micro-econometric evidence," IFS Working Papers W99/27, Institute for Fiscal Studies.
  4. K. Raabe & I. Arnold & C.J.M. Kool, 2006. "Firm size and monetary policy transmission : a theoretical model on the role of capital investment expenditures," Working Papers 06-14, Utrecht School of Economics.
  5. TESTE, Thierry, 1999. "Technologies de l'information et de la communication : Approches économètriques sur le paradoxe de productivité," LATEC - Document de travail - Economie (1991-2003) 1999-06, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
  6. Hollanders, Hugo & ter Weel, Bas, 2002. "Technology, knowledge spillovers and changes in employment structure: evidence from six OECD countries," Labour Economics, Elsevier, vol. 9(5), pages 579-599, November.
  7. Ljubica Nedelkoska & Simon Wiederhold, 2010. "Technology, outsourcing, and the demand for heterogeneous labor: Exploring the industry dimension," Jena Economic Research Papers 2010-052, Friedrich-Schiller-University Jena, Max-Planck-Institute of Economics.
  8. Friebel, Guido & McCullough, Gerard & Padilla Angulo, Laura, 2008. "Patterns of Restructuring: The U.S. Class 1 Railroads from 1984 to 2004," CEPR Discussion Papers 6836, C.E.P.R. Discussion Papers.
  9. 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.
  10. Gray, Richard S. & Malla, Stavroula & Tran, Kien C., 2003. "An Empirical Analysis Of Public And Private Spillovers Within The Canola Biotech Industry," 2003 Annual meeting, July 27-30, Montreal, Canada 22137, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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