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Some New Economy Lessons for Macroeconomists

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  • Karl WHELAN

    (Divison of Research and Statistics, Federal Reserve Board)

Abstract

The evidence on U.S. investment in high-tech equipment and labor productivity in the 1990s is briefly reviewed and some implications discussed. First, capturing the role of information technologies has raised a number of important measurement issues, which have led to a change in the construction of aggregate real series in the U.S. national accounts, such as real GDP. Second, the recent period provided an important confirmation for traditional neoclassical theories of business investment and productivity. Third, there is a discussion of what type of theoretical and empirical models of economic growth are likely to prove helpful in the future.

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Bibliographic Info

Paper provided by Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES) in its series Discussion Papers (REL - Recherches Economiques de Louvain) with number 2002012.

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Length: 16
Date of creation: 01 Mar 2002
Date of revision:
Handle: RePEc:ctl:louvre:2002012

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Keywords: New Economy; Information Technologies;

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References

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  1. David, Paul A, 1990. "The Dynamo and the Computer: An Historical Perspective on the Modern Productivity Paradox," American Economic Review, American Economic Association, vol. 80(2), pages 355-61, May.
  2. Robert S. Chirinko, 1992. "Business Fixed Investment Spending: A Critical survey of Modeling Strategies, Empirical Results, and Policy Implications," Working Papers 9213, Harris School of Public Policy Studies, University of Chicago.
  3. Stephen D. Oliner & Daniel E. Sichel, 2000. "The resurgence of growth in the late 1990s: is information technology the story?," Finance and Economics Discussion Series 2000-20, Board of Governors of the Federal Reserve System (U.S.).
  4. Stacey Tevlin & Karl Whelan, 2000. "Explaining the investment boom of the 1990s," Finance and Economics Discussion Series 2000-11, Board of Governors of the Federal Reserve System (U.S.).
  5. Charles I. Jones & John C. Williams, 1997. "Measuring the social return to R&D," Finance and Economics Discussion Series 1997-12, Board of Governors of the Federal Reserve System (U.S.).
  6. Whelan, Karl, 2003. "A two-sector approach to modeling U.S. NIPA data," Open Access publications from University College Dublin urn:hdl:10197/203, University College Dublin.
  7. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages S71-102, October.
  8. Jason G. Cummins & Kevin A. Hassett & R. Glenn Hubbard, 1994. "A Reconsideration of Investment Behavior Using Tax Reforms as Natural Experiments," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 25(2), pages 1-74.
  9. Robert G. King & Charles I. Plosser & James H. Stock & Mark W. Watson, 1991. "Stochastic trends and economic fluctuations," Working Paper Series, Macroeconomic Issues 91-4, Federal Reserve Bank of Chicago.
  10. Whelan, Karl, 2002. "Computers, obsolescence, and productivity," Open Access publications from University College Dublin urn:hdl:10197/204, University College Dublin.
  11. 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.).
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