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Econometric modeling of technical change

  • Jin, Hui
  • Jorgenson, Dale W.
Registered author(s):

    The purpose of this paper is to present a new approach to econometric modeling of substitution and technical change. Substitution is determined by observable variables, such as prices of output and inputs and shares of inputs in the value of output. Our principal innovation is to represent the rate and biases of technical change by unobservable or latent variables. This representation is considerably more flexible than the constant time trends employed in the previous literature. An added advantage of the new representation is that the latent variables can be projected into the future, so that the rate and bias of technical change can be incorporated into econometric projections.

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    File URL: http://www.sciencedirect.com/science/article/B6VC0-4Y1VSM0-1/2/bedf40d38af1913fb8ed0bde2be9be35
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    Article provided by Elsevier in its journal Journal of Econometrics.

    Volume (Year): 157 (2010)
    Issue (Month): 2 (August)
    Pages: 205-219

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    Handle: RePEc:eee:econom:v:157:y:2010:i:2:p:205-219
    Contact details of provider: Web page: http://www.elsevier.com/locate/jeconom

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    7. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," Journal of Econometrics, Elsevier, vol. 147(2), pages 210-224, December.
    8. Binswanger, Hans P, 1974. "A Microeconomic Approach to Induced Innovation," Economic Journal, Royal Economic Society, vol. 84(336), pages 940-58, December.
    9. Jorgenson, Dale W., 1986. "Econometric methods for modeling producer behavior," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 3, chapter 31, pages 1841-1915 Elsevier.
    10. Feng, Guohua & Serletis, Apostolos, 2008. "Productivity trends in U.S. manufacturing: Evidence from the NQ and AIM cost functions," Journal of Econometrics, Elsevier, vol. 142(1), pages 281-311, January.
    11. Dale W. Jorgenson, 2000. "Econometrics, Volume 1: Econometric Modeling of Producer Behavior," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100827, June.
    12. William Barnett & Apostolos Serletis, 2009. "Measuring Consumer Preferences and Estimating Demand Systems," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 200901, University of Kansas, Department of Economics, revised Jan 2009.
    13. Kim, Chang-Jin, 2006. "Time-varying parameter models with endogenous regressors," Economics Letters, Elsevier, vol. 91(1), pages 21-26, April.
    14. Bart van Ark & Mary O'Mahoney & Marcel P. Timmer, 2008. "The Productivity Gap between Europe and the United States: Trends and Causes," Journal of Economic Perspectives, American Economic Association, vol. 22(1), pages 25-44, Winter.
    15. Daron Acemoglu, 2000. "Technical Change, Inequality, and the Labor Market," NBER Working Papers 7800, National Bureau of Economic Research, Inc.
    16. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
    17. Jorgenson, Dale W., 2005. "Accounting for Growth in the Information Age," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 10, pages 743-815 Elsevier.
    18. Acemoglu, Daron, 2002. "Directed Technical Change," Review of Economic Studies, Wiley Blackwell, vol. 69(4), pages 781-809, October.
    19. Jaffe, Adam B. & Newell, Richard G. & Stavins, Robert N., 2003. "Chapter 11 Technological change and the environment," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 1, chapter 11, pages 461-516 Elsevier.
    20. Dale Jorgenson & Mun Ho & Jon Samuels & Kevin Stiroh, 2007. "Industry Origins of the American Productivity Resurgence," Economic Systems Research, Taylor & Francis Journals, vol. 19(3), pages 229-252.
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