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Technology, Capital Spending, and Capacity Utilization

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Author Info
Cynthia Bansak (Department of Economics, Center for Public Economics , San Diego State University)
Norman Morin (Federal Reserve Board)
Martha Starr (American University)

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Abstract

Capacity utilization has been a valuable indicator of inflationary pressure. Yet recent technological changes have made relationships between inputs and outputs more flexible, possibly eroding the predictive value of the utilization rate. This paper shows that, conceptually, technological change could either lower average utilization by making it cheaper to hold excess capacity, or raise utilization by making further changes in capacity less costly. Using data on 111 manufacturing industries from 1974 to 2000, we find that, for the average industry, technological change has had a modest but appreciable effect, shaving 0.2 to 2.3 percentage points off the utilization rate.

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File URL: http://www-rohan.sdsu.edu/dept/econ/WPSeries/WorkingPaper0306.pdf
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Publisher Info
Paper provided by San Diego State University, Department of Economics in its series Working Papers with number 0010.

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Length: 28 pages
Date of creation: Mar 2003
Date of revision:
Handle: RePEc:sds:wpaper:0010

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Find related papers by JEL classification:
D24 - Microeconomics - - Production and Organizations - - - Production; Capital and Total Factor Productivity; Capacity
E22 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment - - - Capital; Investment; Capacity
E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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  1. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Blackwell Publishing, vol. 58(2), pages 277-97, April. [Downloadable!] (restricted)
  2. Matthew D. Shapiro, 1989. "Assessing the Federal Reserve's Measures of Capacity and Utilization," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 20(1989-1), pages 181-242. [Downloadable!]
  3. Stephen G. Cecchetti, 1995. "Inflation Indicators and Inflation Policy," NBER Chapters, in: NBER Macroeconomics Annual 1995, Volume 10, pages 189-236 National Bureau of Economic Research, Inc. [Downloadable!]
    Other versions:
  4. Berndt, Ernst R. & Morrison, Catherine J., 1992. "High-tech capital formation and economic performance in U.S. manufacturing industries : an exploratory analysis," Working papers 3419-92., Massachusetts Institute of Technology (MIT), Sloan School of Management. [Downloadable!]
    Other versions:
  5. Flint Brayton & John M. Roberts & John C. Williams, 1999. "What's happened to the Phillips curve?," Finance and Economics Discussion Series 1999-49, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
  6. Corrado, Carol & Mattey, Joe, 1997. "Capacity Utilization," Journal of Economic Perspectives, American Economic Association, vol. 11(1), pages 151-67, Winter. [Downloadable!] (restricted)
  7. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-26, November. [Downloadable!] (restricted)
  8. Johannes Van Biesebroeck, 2000. "Measuring Productivity Dynamics with Endogenous Choice of Technology and Capacity Utilization: An Application to Automobile Assembly," Working Papers 00-16, Center for Economic Studies, U.S. Census Bureau. [Downloadable!]
  9. Russell Cooper & John Haltiwanger & Laura Power, 1999. "Machine Replacement and the Business Cycle: Lumps and Bumps," American Economic Review, American Economic Association, vol. 89(4), pages 921-946, September. [Downloadable!] (restricted)
    Other versions:
  10. Valerie A. Ramey & Matthew D. Shapiro, 2001. "Displaced Capital: A Study of Aerospace Plant Closings," Journal of Political Economy, University of Chicago Press, vol. 109(5), pages 958-992, October. [Downloadable!] (restricted)
  11. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January. [Downloadable!] (restricted)
  12. Karl Whelan, 2000. "A guide to the use of chain aggregated NIPA data," Finance and Economics Discussion Series 2000-35, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
  13. Anderson, T. W. & Hsiao, Cheng., 1980. "Estimation of Dynamic Models with Error Components," Working Papers 336, California Institute of Technology, Division of the Humanities and Social Sciences. [Downloadable!]
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