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Learning-by-Doing and Productivity Dynamics in Manufacturing Industries

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Author Info
Andrew Clarke

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Abstract

This paper estimates a structural model of learning-by-doing. Treating production experience as a state variable, this paper provides estimates of the structural parameters obtained from the first order conditions arising from the plant’s maximization problem. Estimates are provided using data on 4-digit manufacturing industries and plant-level observations. Using aggregate industry data, the results indicate that estimated learning rates might be considerably lower than previous estimates. The results also reveal considerable variation in estimated learning rates, across broad industry groups, at both the plant-level and the 4-digit industry level. This implies that using results from existing studies that focus upon specific, narrowly defined industries or firms, may lead to misleading conclusions concerning the widespread importance of learning-by-doing for generating productivity dynamics within the manufacturing industry

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Paper provided by The University of Melbourne in its series Department of Economics - Working Papers Series with number 1032.

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Date of creation: 2008
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Handle: RePEc:mlb:wpaper:1032

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Related research
Keywords: Production Experience; Learning-by-Doing; Structural Estimation;

Find related papers by JEL classification:
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation
D21 - Microeconomics - - Production and Organizations - - - Firm Behavior
L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Klette, Tor Jakob & Griliches, Zvi, 1996. "The Inconsistency of Common Scale Estimators When Output Prices Are Unobserved and Endogenous," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(4), pages 343-61, July-Aug.. [Downloadable!] (restricted)
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  2. Cooper, Russell & Johri, Alok, 2002. "Learning-by-doing and aggregate fluctuations," Journal of Monetary Economics, Elsevier, vol. 49(8), pages 1539-1566, November. [Downloadable!] (restricted)
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  3. Rosen, Sherwin, 1972. "Learning by Experience as Joint Production," The Quarterly Journal of Economics, MIT Press, vol. 86(3), pages 366-82, August. [Downloadable!] (restricted)
  4. Eric J. Bartelsman & Wayne Gray, 1996. "The NBER Manufacturing Productivity Database," NBER Technical Working Papers 0205, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  5. Ronald S. Jarmin, 1994. "Learning by Doing and Competition in the Early Rayon Industry," RAND Journal of Economics, The RAND Corporation, vol. 25(3), pages 441-454, Autumn. [Downloadable!] (restricted)
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  6. C. Lanier Benkard, 2000. "Learning and Forgetting: The Dynamics of Aircraft Production," American Economic Review, American Economic Association, vol. 90(4), pages 1034-1054, September. [Downloadable!] (restricted)
  7. Holtz-Eakin, Douglas, 1988. "Testing for individual effects in autoregressive models," Journal of Econometrics, Elsevier, vol. 39(3), pages 297-307, November. [Downloadable!] (restricted)
  8. Bahk, Byong-Hong & Gort, Michael, 1993. "Decomposing Learning by Doing in New Plants," Journal of Political Economy, University of Chicago Press, vol. 101(4), pages 561-83, August. [Downloadable!] (restricted)
  9. Peter Thompson, 2001. "How Much Did the Liberty Shipbuilders Learn? New Evidence for an Old Case Study," Journal of Political Economy, University of Chicago Press, vol. 109(1), pages 103-137, February. [Downloadable!] (restricted)
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  10. Rebecca Achee Thornton & Peter Thompson, 2001. "Learning from Experience and Learning from Others: An Exploration of Learning and Spillovers in Wartime Shipbuilding," American Economic Review, American Economic Association, vol. 91(5), pages 1350-1368, December. [Downloadable!] (restricted)
  11. Clarke, Andrew J., 2006. "Learning-by-doing and aggregate fluctuations: Does the form of the accumulation technology matter?," Economics Letters, Elsevier, vol. 92(3), pages 434-439, September. [Downloadable!] (restricted)
  12. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-97, November. [Downloadable!] (restricted)
  13. Zulehner, Christine, 2003. "Testing dynamic oligopolistic interaction: evidence from the semiconductor industry," International Journal of Industrial Organization, Elsevier, vol. 21(10), pages 1527-1556, December. [Downloadable!] (restricted)
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  14. Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318 Elsevier. [Downloadable!] (restricted)
  15. Donald W. K. Andrews, 1999. "Consistent Moment Selection Procedures for Generalized Method of Moments Estimation," Econometrica, Econometric Society, vol. 67(3), pages 543-564, May.
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Adnrew J. Clarke & Alok Johri, 2008. "Pro-cyclical Solow Residuals without Technology Shocks," Department of Economics Working Papers 2008-02, McMaster University. [Downloadable!]
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