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Learning-by-doing and aggregate fluctuations

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Listed author(s):
  • Cooper, Russell
  • Johri, Alok

Abstract

A major unresolved issue in business cycle theory is the construction of an endogenous propagation mechanism capable of capturing the amount of persistence displayed in the data. In this paper we explore the quantitative implications of one propagation mechanism: learning by doing. Estimation of the parameters characterizing learning by doing is based both on aggregate 2-digit data and plant level observations in the US. The estimated learning by doing function is then integrated into a stochastic growth model in which fluctuations are driven by technology shocks. We conclude that learning by doing can be a powerful mechanism for generating endogenous persistence.

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Article provided by Elsevier in its journal Journal of Monetary Economics.

Volume (Year): 49 (2002)
Issue (Month): 8 (November)
Pages: 1539-1566

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Handle: RePEc:eee:moneco:v:49:y:2002:i:8:p:1539-1566
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/505566

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  17. 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.
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