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Learning by Doing and Aggregate Fluctuations Author info | Abstract | Publisher info | Download info | Related research | Statistics Russell Cooper
Alok Johri
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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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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number
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Date of creation: Jan 1999Date of revision:
Handle: RePEc:nbr:nberwo:6898Note: EFGContact details of provider: Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A. Phone: 617-868-3900 Email: Web page: http://www.nber.org More information through EDIRC
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Chang, Yongsung & Gomes, Joao F & Schorfheide, Frank, 2002.
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Hammad Qureshi, 2009.
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Andrew Clarke, 2008.
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