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Using Investment Data to Assess the Importance of Price Mismeasurement

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Author Info
Diego Comin (New York University)

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Abstract

This paper presents a new approach to assess the role of price mismeasurement in the productivity slowdown. I invert the firm's investment decision to identify the embodied and disembodied components of productivity growth. With a Cobb-Douglas production function, output price mismeasurement only should affect the latter. Contrary to the mismeasurement hypothesis, I find that in the Post-War period, disembodied productivity grew faster in the hard-to-measure than in the non-manufacturing easy-to-measure sectors, and that disembodied productivity slowed down less in the hard-to-measure than in the easy- to-measure sectors since the 70's. These results hold a fortiori when capital and labor are complements.

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Publisher Info
Paper provided by EconWPA in its series Macroeconomics with number 0306006.

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Length: 38 pages
Date of creation: 09 Jun 2003
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Handle: RePEc:wpa:wuwpma:0306006

Note: Type of Document - acrobat pdf; prepared on IBM PC ; to print on HP; pages: 38; figures: included
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Related research
Keywords: price mismeasurement productivity slowdown embodied and disembodied productivity

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Find related papers by JEL classification:
C6 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming
D9 - Microeconomics - - Intertemporal Choice and Growth
E2 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment

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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. Martin Neil Baily & Robert J. Gordon, 1989. "The Productivity Slowdown, Measurement Issues, and the Explosion of Computer Power," NBER Reprints 1199, National Bureau of Economic Research, Inc.
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  2. Brent R. Moulton, 2001. "The Expanding Role of Hedonic Methods in the Official Statistics of the United States," BEA Papers 0014, Bureau of Economic Analysis. [Downloadable!]
  3. Griliches, Zvi, 1994. "Productivity, R&D, and the Data Constraint," American Economic Review, American Economic Association, vol. 84(1), pages 1-23, March.
  4. Bresnahan, Timothy F, 1986. "Measuring the Spillovers from Technical Advance: Mainframe Computers inFinancial Services," American Economic Review, American Economic Association, vol. 76(4), pages 742-55, September. [Downloadable!] (restricted)
  5. Bruce W. Hamilton, 2001. "Using Engel's Law to Estimate CPI Bias," American Economic Review, American Economic Association, vol. 91(3), pages 619-630, June. [Downloadable!] (restricted)
  6. James Bessen, 2002. "Technology Adoption Costs and Productivity Growth: The Transition to Information Technology," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 5(2), pages 443-469, April. [Downloadable!] (restricted)
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Cited by:
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  1. Comin, D. & Gertler, M., 2003. "Medium Term Business Cycles," Working Papers 03-05, C.V. Starr Center for Applied Economics, New York University. [Downloadable!]
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