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Estimating Adjustment Costs with Data on Heterogeneous Capital Goods

Listed author(s):
  • Austan Goolsbee
  • David B. Gross

This paper estimates the micro-level costs of adjusting capital using detailed data on" investment decisions in the US airline industry. The data include the capital stock retirement, market values, operating costs, and utilization rates of 16 different types of capital" goods for each airline. This data on heterogeneous capital goods allows us to estimate the" desired stock of capital for each type of plane while controlling for unobserved changes in airline" profitability. The results show clear evidence of non-convex adjustment costs inaction for capital investment and quadratic adjustment costs conditional on positive or negative" investment. The adjustment costs for utilization show similar non-convexities but with smaller" adjustment costs. Aggregating to the firm level or using accounting data obscures the non-convexities and biases the estimated adjustment costs upward."

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File URL: http://www.nber.org/papers/w6342.pdf
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 6342.

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Date of creation: Dec 1997
Handle: RePEc:nbr:nberwo:6342
Note: PE EFG
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  8. Blackorby, Charles & Schworm, William, 1983. " Aggregating Heterogeneous Capital Goods in Adjustment-Cost Technologies," Scandinavian Journal of Economics, Wiley Blackwell, vol. 85(2), pages 207-222.
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  17. John Haltiwanger & Russell Cooper & 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.
  18. Ricardo J. Caballero & Eduardo M. R. A. Engel & John C. Haltiwanger, 1995. "Plant-Level Adjustment and Aggregate Investment Dynamics," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 26(2), pages 1-54.
  19. Chirinko, Robert S., 1993. "Multiple capital inputs, Q, and investment spending," Journal of Economic Dynamics and Control, Elsevier, vol. 17(5-6), pages 907-928.
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