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Industry Learning Environments and the Heterogeneity of Firm Performance

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  • Natarajan Balasubramanian
  • Marvin Lieberman

Abstract

This paper characterizes inter-industry heterogeneity in rates of learning-by-doing and examines how industry learning rates are connected with firm performance. Using data from the Census Bureau and Compustat, we measure the industry learning rate as the coefficient on cumulative output in a production function. We find that learning rates vary considerably among industries and are higher in industries with greater R&D, advertising, and capital intensity. More importantly, we find that higher rates of learning are associated with wider dispersion of Tobin�s q and profitability among firms in the industry. Together, these findings suggest that learning intensity represents an important characteristic of the industry environment.

Suggested Citation

  • Natarajan Balasubramanian & Marvin Lieberman, 2006. "Industry Learning Environments and the Heterogeneity of Firm Performance," Working Papers 06-29, Center for Economic Studies, U.S. Census Bureau.
  • Handle: RePEc:cen:wpaper:06-29
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    References listed on IDEAS

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    1. Malerba, Franco, 1992. "Learning by Firms and Incremental Technical Change," Economic Journal, Royal Economic Society, vol. 102(413), pages 845-859, July.
    2. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
    3. Bahk, Byong-Hong & Gort, Michael, 1993. "Decomposing Learning by Doing in New Plants," Journal of Political Economy, University of Chicago Press, vol. 101(4), pages 561-583, August.
    4. Marvin B. Lieberman, 1987. "The learning curve, diffusion, and competitive strategy," Strategic Management Journal, Wiley Blackwell, vol. 8(5), pages 441-452, September.
    5. Gruber, Harald, 2000. "The evolution of market structure in semiconductors: the role of product standards," Research Policy, Elsevier, vol. 29(6), pages 725-740, June.
    6. Gary P. Pisano & Richard M.J. Bohmer & Amy C. Edmondson, 2001. "Organizational Differences in Rates of Learning: Evidence from the Adoption of Minimally Invasive Cardiac Surgery," Management Science, INFORMS, vol. 47(6), pages 752-768, June.
    7. S.A. Lippman & R.P. Rumelt, 1982. "Uncertain Imitability: An Analysis of Interfirm Differences in Efficiency under Competition," Bell Journal of Economics, The RAND Corporation, vol. 13(2), pages 418-438, Autumn.
    8. S. Baranzoni & P. Bianchi & L. Lambertini, 2000. "Multiproduct Firms, Product Differentiation, and Market Structure," Working Papers 368, Dipartimento Scienze Economiche, Universita' di Bologna.
    9. Irwin, Douglas A & Klenow, Peter J, 1994. "Learning-by-Doing Spillovers in the Semiconductor Industry," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1200-1227, December.
    10. John F. Muth, 1986. "Search Theory and the Manufacturing Progress Function," Management Science, INFORMS, vol. 32(8), pages 948-962, August.
    11. Gavin Sinclair & Steven Klepper & Wesley Cohen, 2000. "What's Experience Got to Do With It? Sources of Cost Reduction in a Large Specialty Chemicals Producer," Management Science, INFORMS, vol. 46(1), pages 28-45, January.
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    Keywords

    Learning; Firm Heterogeneity; RBV; Productivity;
    All these keywords.

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