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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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    3. Eric J. Bartelsman & Wayne Gray, 1996. "The NBER Manufacturing Productivity Database," NBER Technical Working Papers 0205, National Bureau of Economic Research, Inc.
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    5. Quah, Danny, 1997. "Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs," CEPR Discussion Papers 1586, C.E.P.R. Discussion Papers.
    6. 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.
    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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