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Productivity Dynamics and Structural Change in the U.S. Manufacturing Sector

  • Jens J. Krüger

    ()

    (University of Jena, Faculty of Economics)

The paper investigates structural change among the four-digit (SIC) industries of the U.S. manufacturing sector during 1958-96 within a distribution dynamics framework. Focus is on the transition density of the Markov process that characterizes the value added shares of the industries. This transition density is estimated nonparametrically as well as by maximum likelihood, in which case the functional form of the density is derived from a search theoretic model. The nonparametric and the maximum likelihood fits show striking similarities. The relation of structural change to a relative measure of total factor productivity change is tested by an application of quantile regression and is found to be significantly positive throughout.

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File URL: http://www.wiwi.uni-jena.de/Papers/wp-sw3004.pdf
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Paper provided by Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät in its series Jenaer Schriften zur Wirtschaftswissenschaft with number 30/2004.

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Date of creation: Dec 2004
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Handle: RePEc:jen:jenasw:2004-30
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  1. Oulton,Nicholas & O'Mahony,Mary, 1994. "Productivity and Growth," Cambridge Books, Cambridge University Press, number 9780521453455, june. pag.
  2. Piyabha Kongsamut & Sergio Rebelo & Danyang Xie, 1997. "Beyond Balanced Growth," NBER Working Papers 6159, National Bureau of Economic Research, Inc.
  3. Hopenhayn, Hugo A & Prescott, Edward C, 1992. "Stochastic Monotonicity and Stationary Distributions for Dynamic Economies," Econometrica, Econometric Society, vol. 60(6), pages 1387-406, November.
  4. Eric J. Bartelsman & Mark Doms, 2000. "Understanding productivity: lessons from longitudinal microdata," Finance and Economics Discussion Series 2000-19, Board of Governors of the Federal Reserve System (U.S.).
  5. Cantner, Uwe & Graf, Holger, 2006. "The network of innovators in Jena: An application of social network analysis," Research Policy, Elsevier, vol. 35(4), pages 463-480, May.
  6. Martin N. Baily & Eric J. Bartelsman & John Haltiwanger, 1994. "Downsizing and productivity growth: myth or reality?," Finance and Economics Discussion Series 94-7, Board of Governors of the Federal Reserve System (U.S.).
  7. Loury, Glenn C, 1981. "Intergenerational Transfers and the Distribution of Earnings," Econometrica, Econometric Society, vol. 49(4), pages 843-67, June.
  8. Richard G. Lipsey & Kenneth Carlaw, 2000. "What Does Total Factor Productivity Measure?," International Productivity Monitor, Centre for the Study of Living Standards, vol. 1, pages 31-40, Fall.
  9. Harberger, Arnold C, 1998. "A Vision of the Growth Process," American Economic Review, American Economic Association, vol. 88(1), pages 1-32, March.
  10. Basu, Susanto & Fernald, John G, 1997. "Returns to Scale in U.S. Production: Estimates and Implications," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 249-83, April.
  11. Uwe Cantner & Werner Gueth & Andreas Nicklisch & Torsten Weiland, 2003. "Competition in Innovation and Imitation - A Theoretical and Experimental Study -," Papers on Strategic Interaction 2004-02, Max Planck Institute of Economics, Strategic Interaction Group.
  12. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521608275, june. pag.
  13. repec:cup:etheor:v:11:y:1995:i:1:p:105-21 is not listed on IDEAS
  14. Roland Helm & Michaela Ludl, 2004. "Kundenkarten als Kundenbindungsinstrument des Handels," Jenaer Schriften zur Wirtschaftswissenschaft 07/2004, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät.
  15. Roland Helm, 2004. "Export Market Entry Strategy and Success: Conceptual Framework and Empirical Examination," Jenaer Schriften zur Wirtschaftswissenschaft 06/2004, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät.
  16. Brock, W A, 1999. "Scaling in Economics: A Reader's Guide," Industrial and Corporate Change, Oxford University Press, vol. 8(3), pages 409-46, September.
  17. Baumol, William J, 1972. "Macroeconomics of Unbalanced Growth: Reply," American Economic Review, American Economic Association, vol. 62(1), pages 150, March.
  18. Banker, Rajiv D. & Gadh, Vandana M. & Gorr, Wilpen L., 1993. "A Monte Carlo comparison of two production frontier estimation methods: Corrected ordinary least squares and data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 67(3), pages 332-343, June.
  19. Omar Arias & Walter Sosa-Escudero & Kevin F. Hallock, 2001. "Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data," Empirical Economics, Springer, vol. 26(1), pages 7-40.
  20. Quah, Danny T, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," Economic Journal, Royal Economic Society, vol. 106(437), pages 1045-55, July.
  21. Hahn, Jinyong, 1995. "Bootstrapping Quantile Regression Estimators," Econometric Theory, Cambridge University Press, vol. 11(01), pages 105-121, February.
  22. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
  23. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  24. Uwe Cantner & Andreas Freytag, 2004. "Eliten, Wettbewerb und langer Atem - Ein praktikabler Vorschlag zur Schaffung von Eliteuniversitäten," Jenaer Schriften zur Wirtschaftswissenschaft 02/2004, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät.
  25. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
  26. Eric J. Bartelsman & Wayne Gray, 1996. "The NBER Manufacturing Productivity Database," NBER Technical Working Papers 0205, National Bureau of Economic Research, Inc.
  27. Ruggiero, John, 1999. "Efficiency estimation and error decomposition in the stochastic frontier model: A Monte Carlo analysis," European Journal of Operational Research, Elsevier, vol. 115(3), pages 555-563, June.
  28. Danny Quah, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," CEP Discussion Papers dp0280, Centre for Economic Performance, LSE.
  29. Roger Koenker & Zhijie Xiao, 2004. "Unit Root Quantile Autoregression Inference," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 775-787, January.
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