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Scanner Data Price Indexes: Addressing Some Unresolved Issues

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  • Daniel Melser

Abstract

Scanner data are increasingly being used in the calculation of price indexes such as the CPI. The preeminent approach is the RYGEKS method (Ivancic, Diewert and Fox 2011). This uses multilateral methods to construct price parities across a rolling year then links these to construct a nonrevisable index. While this approach performs well there remain some unresolved issues, in particular; the optimal window length and the linking method. In this note, these questions are addressed. A novel linking method is proposed along with the use of weighted GEKS as opposed to a fixed window. These approaches are illustrated empirically on a large scanner dataset and perform well.

Suggested Citation

  • Daniel Melser, 2018. "Scanner Data Price Indexes: Addressing Some Unresolved Issues," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(3), pages 516-522, July.
  • Handle: RePEc:taf:jnlbes:v:36:y:2018:i:3:p:516-522
    DOI: 10.1080/07350015.2016.1218339
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    Citations

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    Cited by:

    1. Robert J. Hill & Alicia N. Rambaldi & Michael Scholz, 2021. "Higher frequency hedonic property price indices: a state-space approach," Empirical Economics, Springer, vol. 61(1), pages 417-441, July.
    2. Jan de Haan & Rens Hendriks & Michael Scholz, 2016. "A Comparison of Weighted Time-Product Dummy and Time Dummy Hedonic Indexes," Graz Economics Papers 2016-13, University of Graz, Department of Economics.
    3. Daniel Melser, 2019. "Valuing the quantity and quality of product variety to consumers," Empirical Economics, Springer, vol. 57(6), pages 2107-2128, December.
    4. Daniel Melser & Michael Webster, 2021. "Multilateral Methods, Substitution Bias, and Chain Drift: Some Empirical Comparisons," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(3), pages 759-785, September.
    5. Jacek Białek, 2023. "Improving quality of the scanner CPI: proposition of new multilateral methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2893-2921, June.
    6. Ludwig von Auer, 2024. "Inflation Measurement in the Presence of Stockpiling and Smoothing of Consumption," Research Papers in Economics 2024-02, University of Trier, Department of Economics.
    7. 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.

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