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Chain-weighting: the new approach to measuring GDP

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Author Info
Charles Steindel

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Abstract

Recent dramatic changes in the U.S. economy's structure have compelled BEA to revise the way in which it measures real GDP levels and growth. By switching to a chain-weighted method of computing aggregate growth--which relies heavily on current price information--BEA will be able to measure GDP growth more accurately by eliminating upward biases in the incoming data.

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Publisher Info
Article provided by Federal Reserve Bank of New York in its journal Current Issues in Economics and Finance.

Volume (Year): (1995)
Issue (Month): Dec ()
Pages:
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Handle: RePEc:fip:fednci:y:1995:i:dec:n:v.1no.9

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Related research
Keywords: Gross domestic product;

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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. Ethan S. Harris & Charles Steindel, 1990. "The decline in U.S. saving and its implications for economic growth," Quarterly Review, Federal Reserve Bank of New York, issue Win, pages 1-19.
  2. Stephen D. Oliner & Daniel E. Sichel, 1994. "Computers and Output Growth Revisited: How Big Is the Puzzle?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 25(1994-2), pages 273-334. [Downloadable!]
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Cited by:
(explanations, 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. Jonathan McCarthy, 2004. "What investment patterns across equipment and industries tell us about the recent investment boom and bust," Current Issues in Economics and Finance, Federal Reserve Bank of New York, issue May. [Downloadable!]
  2. Charles Steindel, 1997. "Measuring economic activity and economic welfare: what are we missing?," Research Paper 9732, Federal Reserve Bank of New York. [Downloadable!]
Statistics
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This page was last updated on 2009-12-31.

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