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Splicing Index Numbers

Author

Listed:
  • Hill, Robert J
  • Fox, Kevin J
Abstract
This article demonstrates the compelling case for using the geometric mean formula for splicing overlapping index number series. The justification for using the geometric mean rests on the fact that it is the only symmetric mean formula that generates a spliced series that is invariant to rescaling of the original series.

Suggested Citation

  • Hill, Robert J & Fox, Kevin J, 1997. "Splicing Index Numbers," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 387-389, July.
    • Handle: RePEc:bes:jnlbes:v:15:y:1997:i:3:p:387-89
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    Cited by:

    1. Daan Freeman & Robert Inklaar & W. Erwin Diewert, 2021. "Natural Resources and Missing Inputs in International Productivity Comparisons," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(1), pages 1-17, March.
    2. Yang, Sansi & Shumway, C. Richard, 2014. "Dynamic Adjustment in U.S. Agriculture under Climate Uncertainty," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170609, Agricultural and Applied Economics Association.
    3. Richard G. Anderson & Jason J. Buol, 2005. "Revisions to user costs for the Federal Reserve Bank of St. Louis monetary services indices," Review, Federal Reserve Bank of St. Louis, vol. 87(Nov), pages 735-750.
    4. Francis, Joseph A., 2014. "Resolving the Halperín Paradox: The Terms of Trade and Argentina’s Expansion in the Long Nineteenth Century," MPRA Paper 57915, University Library of Munich, Germany.
    5. Sansi Yang & C. Richard Shumway, 2020. "Knowledge accumulation in US agriculture: research and learning by doing," Journal of Productivity Analysis, Springer, vol. 54(2), pages 87-105, December.

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