The Ebbinghaus Effect and the Implications of Net Learning for the Performance of Production Systems, with Some Experimental Results
This abstract will be reformatted upon A simple Ebbinghaus model suggests that the policy implications of gross learning for the performance of production systems can be misleading. The rates of net learning tend to be transitory such that knowledge accumulation and diffusion processes thereof take longer to bear fruit than conventional learning models would indicate. Consequently, continuous retooling and retraining of production systems are necessary conditions for offsetting the effects of forgetting on gross learning.
|Date of creation:||15 Jul 2003|
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|Note:||Type of Document - Word; prepared on IBM PC - PC; to print on HP/PostScript; pages: 16 ; figures: request from author. I never published this paper and now I would like to share it with wider readership.|
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- Arifovic, Jasmina & Bullard, James & Duffy, John, 1997. " The Transition from Stagnation to Growth: An Adaptive Learning Approach," Journal of Economic Growth, Springer, vol. 2(2), pages 185-209, July.
- C. Lanier Benkard, 1999. "Learning and Forgetting: The Dynamics of Aircraft Production," NBER Working Papers 7127, National Bureau of Economic Research, Inc.
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- Alwyn Young, 1991. "Learning by Doing and the Dynamic Effects of International Trade," NBER Working Papers 3577, National Bureau of Economic Research, Inc.
- Benhabib, Jess & Spiegel, Mark M., 1994. "The role of human capital in economic development evidence from aggregate cross-country data," Journal of Monetary Economics, Elsevier, vol. 34(2), pages 143-173, October.
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