Learning Curves and the Cyclical Behavior of Manufacturing Industries
Building on evidence that (a) productivity growth from learning by doing diminishes as experience accumulates with a technology and (b) learning by doing is largely specific to each production technology, this paper models a firm's decision of when to update its technology. The model implies that technology updates endogenously bring large drops in productivity. The model also implies that technology updates are more likely in a boom than in a recession since a high rate of production enables the firm to learn more quickly about the new technology. The forces in this model may help explain some features of plant and industry level data, such as the procyclicality of investment (including plant investment spikes) and the modest correlation between labor input and productivity. (Copyright: Elsevier)
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Volume (Year): 1 (1998)
Issue (Month): 2 (April)
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- Cooper, Russell & Haltiwanger, John, 1993.
"The Aggregate Implications of Machine Replacement: Theory and Evidence,"
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- Mark Bils & Peter J. Klenow, 1998. "Using Consumer Theory to Test Competing Business Cycle Models," Journal of Political Economy, University of Chicago Press, vol. 106(2), pages 233-261, April.
- Mark E. Doms & Timothy Dunne, 1998. "Capital Adjustment Patterns in Manufacturing Plants," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(2), pages 409-429, April.
- Mark Doms & Timothy Dunne, 1994. "Capital Adjustment Patterns in Manufacturing Plants," Working Papers 94-11, Center for Economic Studies, U.S. Census Bureau.
- Argote, L. & Epple, D., 1990. "Learning Curves In Manufacturing," GSIA Working Papers 89-90-02, Carnegie Mellon University, Tepper School of Business.
- Gort, Michael & Klepper, Steven, 1982. "Time Paths in the Diffusion of Product Innovations," Economic Journal, Royal Economic Society, vol. 92(367), pages 630-653, September. Full references (including those not matched with items on IDEAS)
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