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Measuring Manufacturing: How the Computer and Semiconductor Industries Affect the Numbers and Perceptions

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Abstract

Growth in U.S. manufacturing’s real value-added has exceeded that of aggregate GDP, except during recessions, leading many to conclude that the sector is healthy and that the 30 percent decline in manufacturing employment since 2000 is largely the consequence of automation. The robust growth in real manufacturing GDP, however, is driven by one industry segment: computers and electronic products. In most of manufacturing, real GDP growth has been weak or negative and productivity growth modest. The extraordinary real GDP growth in computer-related industries reflects prices for computers and semiconductors that, when adjusted for product quality improvements, are falling rapidly. Productivity growth in these industries, in turn, largely reflects product and process improvements from research and development, not automation. Although computer-related industries have driven growth in the manufacturing sector, production has shifted to Asia, and the U.S. trade deficit in these products has soared since the 1990s. The outsized effect computer-related industries have on manufacturing statistics also may distort economic relationships in the data and result in perverse research findings. Statistical agencies should take steps to assure that the influence that computer-related industries have on manufacturing-sector statistics is transparent to data users.

Suggested Citation

  • Susan N. Houseman & Timothy J. Bartik & Timothy J. Sturgeon, 2014. "Measuring Manufacturing: How the Computer and Semiconductor Industries Affect the Numbers and Perceptions," Upjohn Working Papers 14-209, W.E. Upjohn Institute for Employment Research.
  • Handle: RePEc:upj:weupjo:14-209
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    1. Timothy J. Bartik, 1991. "Who Benefits from State and Local Economic Development Policies?," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number wbsle, August.
    2. Robert C. Feenstra & Christopher R. Knittel, 2009. "Reassessing the US Quality Adjustment to Computer Prices: The Role of Durability and Changing Software," NBER Chapters, in: Price Index Concepts and Measurement, pages 129-160, National Bureau of Economic Research, Inc.
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    4. Glenn Ellison & Drew Fudenberg, 2000. "The Neo-Luddite's Lament: Excessive Upgrades in the Software Industry," RAND Journal of Economics, The RAND Corporation, vol. 31(2), pages 253-272, Summer.
    5. Brown, Clair & Linden, Greg, 2011. "Chips and Change: How Crisis Reshapes the Semiconductor Industry," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262516829, December.
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    Cited by:

    1. Dorn, David & Levell, Peter, 2021. "Trade and Inequality in Europe and the US," CEPR Discussion Papers 16780, C.E.P.R. Discussion Papers.
    2. Daron Acemoglu & David Autor & David Dorn & Gordon H. Hanson & Brendan Price, 2016. "Import Competition and the Great US Employment Sag of the 2000s," Journal of Labor Economics, University of Chicago Press, vol. 34(S1), pages 141-198.
    3. MacFeely Steve, 2016. "The Continuing Evolution of Official Statistics: Some Challenges and Opportunities," Journal of Official Statistics, Sciendo, vol. 32(4), pages 789-810, December.

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    More about this item

    Keywords

    Manufacturing; computers; semiconductors; productivity; globalization; global value chains;
    All these keywords.

    JEL classification:

    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • F60 - International Economics - - Economic Impacts of Globalization - - - General

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