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Price Imputation and Other Techniques for Dealing with Missing Observations, Seasonality and Quality Change in Price Indices

Author

Listed:
  • Mr. Paul A Armknecht Jr.
  • Fenella Maitland-Smith

Abstract

Price index compilers frequently face situations where price observations are missing due to seasonal unavailability, supply shortages, or the discontinuation of products. Incorrect treatment of such situations can result in biased price indices. This paper presents statistical imputation techniques that index compilers can use to prevent bias and suggests the extension of these same techniques to assist with adjustments for quality differences. The use of additional procedures for dealing with some of the problems caused by seasonal commodities is also discussed.

Suggested Citation

  • Mr. Paul A Armknecht Jr. & Fenella Maitland-Smith, 1999. "Price Imputation and Other Techniques for Dealing with Missing Observations, Seasonality and Quality Change in Price Indices," IMF Working Papers 1999/078, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:1999/078
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    Citations

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    Cited by:

    1. Robert C. Feenstra & Erwin W. Diewert, "undated". "Imputation and Price Indexes: Theory and Evidence from the International Price Program," Department of Economics 00-12, California Davis - Department of Economics.
    2. Kevin J. Fox & Daniel Melser, 2014. "Non-Linear Pricing and Price Indexes: Evidence and Implications from Scanner Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(2), pages 261-278, June.
    3. W. Erwin Diewert, 2002. "Harmonized Indexes of Consumer Prices: Their Conceptual Foundations," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 138(IV), pages 547-637, December.
    4. Libor Dusek & Lubomir Lizal (ed.), 2011. "CERGE-EI Tackles Transition," CERGE-EI Books, The Center for Economic Research and Graduate Education - Economics Institute, Prague, edition 1, number b05, May.
    5. Hanousek, Jan & Filer, Randall K, 2004. "Consumers' Opinion of Inflation Bias Due to Quality Improvements," Economic Development and Cultural Change, University of Chicago Press, vol. 53(1), pages 235-254, October.
    6. W. Erwin Diewert, 2002. "Harmonized Indexes of Consumer Prices: Their Conceptual Foundations," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 138(IV), pages 547-637, December.
    7. W. Erwin Diewert, 2003. "Hedonic Regressions. A Consumer Theory Approach," NBER Chapters, in: Scanner Data and Price Indexes, pages 317-348, National Bureau of Economic Research, Inc.
    8. Silver, Mick & Heravi, Saeed, 2005. "A Failure in the Measurement of Inflation: Results From a Hedonic and Matched Experiment Using Scanner Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 269-281, July.
    9. Mick Silver & Saeed Heravi, 2003. "The Measurement of Quality-Adjusted Price Changes," NBER Chapters, in: Scanner Data and Price Indexes, pages 277-316, National Bureau of Economic Research, Inc.
    10. Leibtag, Ephraim S., 2006. "The Impact of Changing Retail Services on the Grocery Store Producer Price Index," 2006 Annual meeting, July 23-26, Long Beach, CA 21227, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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