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Productivity transitions in the US manufacturing sector

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  • Jens Kruger

Abstract

This note investigates productivity dynamics of US manufacturing industries during the period 1958-1996. Nonparametric methods are used to calculate total factor productivity relative to a frontier production function and to estimate the transition density. The shape of the transition density leads to the conclusion that persistence relative to the frontier function plays a substantial role in sectoral productivity development, thereby contradicting the existence of strong intertemporal spillover effects between sectors as supposed in recent growth models.

Suggested Citation

  • Jens Kruger, 2004. "Productivity transitions in the US manufacturing sector," Applied Economics Letters, Taylor & Francis Journals, vol. 11(15), pages 935-937.
    • Handle: RePEc:taf:apeclt:v:11:y:2004:i:15:p:935-937
    DOI: 10.1080/1350485042000285823
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    References listed on IDEAS

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    4. Mark Doms & Eric J. Bartelsman, 2000. "Understanding Productivity: Lessons from Longitudinal Microdata," Journal of Economic Literature, American Economic Association, vol. 38(3), pages 569-594, September.
    5. Durlauf, Steven N. & Quah, Danny T., 1999. "The new empirics of economic growth," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 4, pages 235-308, Elsevier.
    6. Eric J. Bartelsman & Wayne Gray, 1996. "The NBER Manufacturing Productivity Database," NBER Technical Working Papers 0205, National Bureau of Economic Research, Inc.
    7. Danny Quah, 1997. "Empirics for Growth and Distribution," CEP Discussion Papers dp0324, Centre for Economic Performance, LSE.
    8. Quah, Danny T, 1997. "Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs," Journal of Economic Growth, Springer, vol. 2(1), pages 27-59, March.
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    Cited by:

    1. Kruger, Jens J., 2006. "Using the manufacturing productivity distribution to evaluate growth theories," Structural Change and Economic Dynamics, Elsevier, vol. 17(2), pages 248-258, June.

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