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Scanner Data and the Measurement of Inflation

Author

Listed:
  • Silver, Mick
  • Heravi, Saeed

Abstract

This paper outlines the potential use of bar-code scanner data from retailers for the measurement of inflation. The source benefits from its extensive coverage in providing data on prices, quantities and values of transactions of each model of a good sold. Relative weights can thus be ascribed to price changes in both base and current months at a highly detailed level which allows us to estimate substitution bias. Methods of adjusting for quality changes can be considered. The dummy variable hedonic approach is compared with a superlative, exact hedonic approach and a matching technique akin to that used by statistical offices.

Suggested Citation

  • Silver, Mick & Heravi, Saeed, 2001. "Scanner Data and the Measurement of Inflation," Economic Journal, Royal Economic Society, vol. 111(472), pages 383-404, June.
    • Handle: RePEc:ecj:econjl:v:111:y:2001:i:472:p:f383-404
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    Citations

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    Cited by:

    1. Jerry Hausman, 2003. "Sources of Bias and Solutions to Bias in the Consumer Price Index," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 23-44, Winter.
    2. Galbraith, John W. & Tkacz, Greg, 2018. "Nowcasting with payments system data," International Journal of Forecasting, Elsevier, vol. 34(2), pages 366-376.
    3. Jerry Hausman, 2002. "Sources of Bias and Solutions to Bias in the CPI," NBER Working Papers 9298, National Bureau of Economic Research, Inc.
    4. John Galbraith & Greg Tkacz, 2007. "Electronic Transactions as High-Frequency Indicators of Economic Activity," Staff Working Papers 07-58, Bank of Canada.
    5. Silver, Mick & Heravi, Saeed, 2007. "The Difference Between Hedonic Imputation Indexes and Time Dummy Hedonic Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 239-246, April.
    6. Daniel Melser & Iqbal A. Syed, 2016. "Life Cycle Price Trends and Product Replacement: Implications for the Measurement of Inflation," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(3), pages 509-533, September.
    7. Fitzpatrick, Anne, 2023. "Which price is right? A comparison of three standard approaches to measuring prices," Journal of Development Economics, Elsevier, vol. 163(C).
    8. Roberto Camagni & Roberta Capello & Giovanni Perucca, 2022. "Beyond productivity slowdown: Quality, pricing and resource reallocation in regional competitiveness," Papers in Regional Science, Wiley Blackwell, vol. 101(6), pages 1307-1330, December.
    9. Philip ME Garboden, 2019. "Sources and Types of Big Data for Macroeconomic Forecasting," Working Papers 2019-3, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    10. Enzo D’Innocenzo & Alessandra Luati & Mario Mazzocchi, 2023. "A robust score-driven filter for multivariate time series," Econometric Reviews, Taylor & Francis Journals, vol. 42(5), pages 441-470, May.
    11. Castellari, Elena & Moro, Daniele & Platoni, Silvia & Sckokai, Paolo, 2018. "Retailers’ strategies and food price dynamics: Evidence from dairy scanner data," Food Policy, Elsevier, vol. 74(C), pages 212-224.
    12. Piermassimo Pavese, 2007. "Hedonic Housing Price Indices: The Turinese Experience," Rivista di Politica Economica, SIPI Spa, vol. 97(6), pages 113-148, November-.
    13. John W. Galbraith & Greg Tkacz, 2009. "A Note on Monitoring Daily Economic Activity Via Electronic Transaction Data," CIRANO Working Papers 2009s-23, CIRANO.
    14. Castellari, Elena & Moro, D. & Platoni, S. & Sckokai, P., 2013. "Measuring the impact of retailers’ strategies on food price inflation using scanner data," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150258, Agricultural and Applied Economics Association.
    15. Ludwig Von Auer & John Brennan, 2007. "Bias and inefficiency in quality-adjusted hedonic regression analysis," Applied Economics, Taylor & Francis Journals, vol. 39(1), pages 95-107.
    16. Robert J. Hill & Daniel Melser, 2007. "Comparing House Prices Across Regions and Time: An Hedonic Approach," Discussion Papers 2007-33, School of Economics, The University of New South Wales.

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