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A guide to the use of chain aggregated NIPA data

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  • Karl Whelan

Abstract

In 1996, the U.S. Department of Commerce began using a new method to construct all aggregate ``real'' series in the National Income and Product Accounts (NIPA). This method employs the so-called ``ideal chain index'' pioneered by Irving Fisher. The new methodology has some extremely important implications that are unfamiliar to many practicing empirical economists; as a result, mistaken calculations with NIPA data have become very common. This paper explains the motivation for the switch to chain aggregation and then illustrates the usage of chain-aggregated data with three topical examples, each relating to a different aspect of how information technologies are changing the economy.

Suggested Citation

  • 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.).
  • Handle: RePEc:fip:fedgfe:2000-35
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    References listed on IDEAS

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    1. Tevlin, Stacey & Whelan, Karl, 2003. "Explaining the Investment Boom of the 1990s," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(1), pages 1-22, February.
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    4. Dale W. Jorgenson & Kevin J. Stiroh, 2000. "Raising the Speed Limit: U.S. Economic Growth in the Information Age," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 31(1), pages 125-236.
    5. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
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    7. W. Erwin Diewert, 1998. "Index Number Issues in the Consumer Price Index," Journal of Economic Perspectives, American Economic Association, vol. 12(1), pages 47-58, Winter.
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    More about this item

    Keywords

    Gross domestic product; Computers;

    JEL classification:

    • E0 - Macroeconomics and Monetary Economics - - General
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

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