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Embodying Embodiment in a Structural, Macroeconomic Input-Output Model

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Author Info
Daniel Wilson

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Abstract

In this paper, I develop a regression-based system of labour productivity equations that account for capital-embodied technological change and I incorporate this system into IDLIFT, a structural, macroeconomic input-output model of the US economy. Builders of regression-based forecasting models have long had difficulty finding labour productivity equations that exhibit the "Solowian' property that movements in investment should cause accompanying movements in labour productivity. The production theory developed by Solow and others dictates that this causation is driven by the effect of traditional capital deepening as well as technological change embodied in capital. Lack of measurement of the latter has hampered the ability of researchers to estimate properly the productivity-investment relationship. Recent research by Wilson (2001) has alleviated this difficulty by estimating industry-level embodied technological change. In this paper, I utilize those estimates to construct capital stocks adjusted for technological change and then use these adjusted stocks to estimate Solow-type labour productivity equations. It is shown that replacing IDLIFT's former productivity equations, based on changes in output and time trends, with the new equations, results in a convergence between the dynamic behaviour of the model and that predicted by traditional (Solowian) production theory.

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Publisher Info
Article provided by Taylor and Francis Journals in its journal Economic Systems Research.

Volume (Year): 15 (2003)
Issue (Month): 3 (September)
Pages: 371-398
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Handle: RePEc:taf:ecsysr:v:15:y:2003:i:3:p:371-398

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Related research
Keywords: Equipment-embodied Technological Change; Productivity; Forecasting;

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Plutarchos Sakellaris & Dan Wilson, 2000. "The Production-Side Approach to Estimating Embodied Technological Change," Electronic Working Papers 00-002, University of Maryland, Department of Economics. [Downloadable!]
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  2. Andreas Hornstein & Per Krusell, 1996. "Can Technology Improvements Cause Productivity Slowdowns?," NBER Chapters, in: NBER Macroeconomics Annual 1996, Volume 11, pages 209-276 National Bureau of Economic Research, Inc. [Downloadable!]
  3. Wilson, Daniel J., 2000. "Estimating Returns to Scale: Lo, Still No Balance," Journal of Macroeconomics, Elsevier, vol. 22(2), pages 285-314, April. [Downloadable!] (restricted)
  4. Kevin D. Hoover & Stephen J. Perez, 1999. "Data mining reconsidered: encompassing and the general-to-specific approach to specification search," Econometrics Journal, Royal Economic Society, vol. 2(2), pages 167-191.
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  5. Daniel J. Wilson, 2002. "Is Embodied Technology the Result of Upstream R&D? Industry-Level Evidence," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 5(2), pages 285-317, April. [Downloadable!] (restricted)
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  6. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 1997. "Long-Run Implications of Investment-Specific Technological Change," American Economic Review, American Economic Association, vol. 87(3), pages 342-62, June. [Downloadable!] (restricted)
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  7. Hendry, David F, 1980. "Econometrics-Alchemy or Science?," Economica, London School of Economics and Political Science, vol. 47(188), pages 387-406, November. [Downloadable!] (restricted)
  8. Neil R. Ericsson & Jaime Marquez, 1998. "A framework for economic forecasting," Econometrics Journal, Royal Economic Society, vol. 1(Conferenc), pages C228-C266.
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  9. Gort, Michael & Wall, Richard A., 1998. "Obsolescence, input augmentation, and growth accounting," European Economic Review, Elsevier, vol. 42(9), pages 1653-1665, November. [Downloadable!] (restricted)
  10. Hendry, David F, 1997. "The Econometrics of Macroeconomic Forecasting," Economic Journal, Royal Economic Society, vol. 107(444), pages 1330-57, September. [Downloadable!] (restricted)
  11. John Faust & Charles H. Whiteman, 1997. "General-to-specific procedures for fitting a data-admissible, theory- inspired, congruent, parsimonious, encompassing, weakly-exogenous, identified, structural model to the DGP: a translation and crit," International Finance Discussion Papers 576, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
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  12. Susanto Basu & John Fernald & Miles Kimball, 1998. "Are technology improvements contractionary?," International Finance Discussion Papers 625, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
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  13. Basu, Susanto, 1996. "Procyclical Productivity: Increasing Returns or Cyclical Utilization?," The Quarterly Journal of Economics, MIT Press, vol. 111(3), pages 719-51, August. [Downloadable!] (restricted)
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  14. Plutarchos Sakellaris & Daniel J. Wilson, 2004. "Quantifying Embodied Technological Change," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 7(1), pages 1-26, January. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Randy Becker & John Haltiwanger & Ron Jarmin & Shawn Klimek & Dan Wilson, 2005. "Micro and Macro Data Integration: The Case of Capital," Working Papers 05-02, Center for Economic Studies, U.S. Census Bureau. [Downloadable!]
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