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Econometric modeling of technical change

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  • Jin, Hui
  • Jorgenson, Dale W.
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    Abstract

    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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    Bibliographic Info

    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

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    Web page: http://www.elsevier.com/locate/jeconom

    Related research

    Keywords: Technical change Rate and bias Substitution;

    References

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    1. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    2. 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.
    3. Gallant, A. Ronald & Golub, Gene H., 1984. "Imposing curvature restrictions on flexible functional forms," Journal of Econometrics, Elsevier, vol. 26(3), pages 295-321, December.
    4. Kim, Chang-Jin, 2006. "Time-varying parameter models with endogenous regressors," Economics Letters, Elsevier, vol. 91(1), pages 21-26, April.
    5. Dale W. Jorgenson, 2000. "Econometrics, Volume 1: Econometric Modeling of Producer Behavior," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100827, December.
    6. Binswanger, Hans P., 1973. "The Measurement Of Technical Change Biases With Many Factors Of Production," Staff Papers 14205, University of Minnesota, Department of Applied Economics.
    7. 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.
    8. 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.
    9. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," MPRA Paper 8413, University Library of Munich, Germany.
    10. Binswanger, Hans P., 1974. "A Microeconomic Approach To Induced Innovation," Staff Papers 14152, University of Minnesota, Department of Applied Economics.
    11. 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.
    12. Daron Acemoglu, 2001. "Directed Technical Change," NBER Working Papers 8287, National Bureau of Economic Research, Inc.
    13. Barnett, William A. & Serletis, Apostolos, 2008. "Measuring Consumer Preferences and Estimating Demand Systems," MPRA Paper 12318, University Library of Munich, Germany.
    14. Daron Acemoglu, 2007. "Equilibrium Bias of Technology," Econometrica, Econometric Society, vol. 75(5), pages 1371-1409, 09.
    15. Dale W. Jorgenson, 1998. "Growth, Volume 2: Energy, the Environment, and Economic Growth," MIT Press Books, The MIT Press, edition 1, volume 2, number 0262100746, December.
    16. Kim, Chang-Jin & Nelson, Charles R., 2006. "Estimation of a forward-looking monetary policy rule: A time-varying parameter model using ex post data," Journal of Monetary Economics, Elsevier, vol. 53(8), pages 1949-1966, November.
    17. 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.
    18. 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.
    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.
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    Citations

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    Cited by:
    1. Jorgenson, Dale W. & Jin, Hui & Slesnick, Daniel T. & Wilcoxen, Peter J., 2013. "An Econometric Approach to General Equilibrium Modeling," Handbook of Computable General Equilibrium Modeling, Elsevier.
    2. Jorgenson, Dale W. & Goettle, Richard J. & Ho, Mun S. & Wilcoxen, Peter J., 2013. "Energy, the Environment and US Economic Growth," Handbook of Computable General Equilibrium Modeling, Elsevier.
    3. Zhang, Wei & Alston, Julian M., 2013. "Factor Substitution and Technical Change in the U.S. Dairy Manufacturing Industry," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150707, Agricultural and Applied Economics Association.
    4. Nitin Gupta, 2012. "Impact of Elasticities of Substitution, Technical Change, and Labour Regulations on Labour Welfare in Indian Industries," ASARC Working Papers 2012-10, The Australian National University, Australia South Asia Research Centre.
    5. Kurt Kratena & Michael Wüger, 2012. "Technological Change and Energy Demand in Europe," WIFO Working Papers 427, WIFO.
    6. Kutlu, Levent & Sickles, Robin C., 2012. "Estimation of market power in the presence of firm level inefficiencies," Journal of Econometrics, Elsevier, vol. 168(1), pages 141-155.
    7. Peretto, Pietro F. & Valente, Simone, 2011. "Resources, innovation and growth in the global economy," Journal of Monetary Economics, Elsevier, vol. 58(4), pages 387-399.

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