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Plant Age and Technology Use in US. Manufacturing Industries

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  • Timothy Dunne

Abstract

In this article, I use a new dataset on advanced technology usage in U.S. manufacturing plants to describe how technology use varies by plant age and size. The data come from the 1988 Survey of Manufacturing Technology (SMT) and cover a wide range of technologies and a large group of fabrication and assembly industries. Both old and young plants appear to use advanced manufacturing technology at similar frequencies. As in previous studies, I find that larger plants are more likely to employ newer technologies than are smaller plants.

Suggested Citation

  • Timothy Dunne, 1994. "Plant Age and Technology Use in US. Manufacturing Industries," RAND Journal of Economics, The RAND Corporation, vol. 25(3), pages 488-499, Autumn.
  • Handle: RePEc:rje:randje:v:25:y:1994:i:autumn:p:488-499
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    References listed on IDEAS

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    1. Gallant, A. Ronald & Jorgenson, Dale W., 1979. "Statistical inference for a system of simultaneous, non-linear, implicit equations in the context of instrumental variable estimation," Journal of Econometrics, Elsevier, vol. 11(2-3), pages 275-302.
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    6. Pankaj Ghemawat & A. Michael Spence, 1985. "Learning Curve Spillovers and Market Performance," The Quarterly Journal of Economics, Oxford University Press, vol. 100(Supplemen), pages 839-852.
    7. Geroski, Paul A, 1988. "In Pursuit of Monopoly Power: Recent Quantitative Work in Industrial Economics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 3(2), pages 107-123, April.
    8. Bresnahan, Timothy F., 1989. "Empirical studies of industries with market power," Handbook of Industrial Organization,in: R. Schmalensee & R. Willig (ed.), Handbook of Industrial Organization, edition 1, volume 2, chapter 17, pages 1011-1057 Elsevier.
    9. Ron Jarmin, 1993. "Asymmetric Learning Spillovers," Working Papers 93-7, Center for Economic Studies, U.S. Census Bureau.
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