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Eliminating chain drift in price indexes based on scanner data

  • de Haan, Jan
  • van der Grient, Heymerik A.
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    The use of scanner data in the CPI makes it possible to compile superlative price indexes at detailed aggregation levels since prices and quantities are available. A potential drawback is the high attrition rate of items. The usual solution to handle this problem, high-frequency chaining, can create drift in the index series due to price and quantity bouncing arising from sales. Ivancic, Diewert and Fox (2009) have recently proposed an approach that provides drift free, superlative-type indexes through adapting multilateral index number theory. In this paper we apply their proposal to seven product groups and find promising results. We compare the results with those obtained by using the Dutch method to deal with supermarket scanner data.

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    Article provided by Elsevier in its journal Journal of Econometrics.

    Volume (Year): 161 (2011)
    Issue (Month): 1 (March)
    Pages: 36-46

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    Handle: RePEc:eee:econom:v:161:y:2011:i:1:p:36-46
    Contact details of provider: Web page: http://www.elsevier.com/locate/jeconom

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    1. Robert C. Feenstra & Matthew D. Shapiro, 2001. "High-Frequency Substitution and the Measurement of Price Indexes," NBER Working Papers 8176, National Bureau of Economic Research, Inc.
    2. W. Erwin Diewert, 1995. "Axiomatic and Economic Approaches to Elementary Price Indexes," NBER Working Papers 5104, National Bureau of Economic Research, Inc.
    3. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
    4. 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.
    5. Balk, B.M., 2001. "Aggregation Methods in International Comparisons," ERIM Report Series Research in Management ERS-2001-41-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    6. Hill, Robert J., 2006. "Superlative index numbers: not all of them are super," Journal of Econometrics, Elsevier, vol. 130(1), pages 25-43, January.
    7. Diewert, W. Erwin, 1999. "Index Number Approaches To Seasonal Adjustment," Macroeconomic Dynamics, Cambridge University Press, vol. 3(01), pages 48-68, March.
    8. Erwin Diewert & Saeed Heravi & Mick Silver, 2008. "Hedonic Imputation versus Time Dummy Hedonic Indexes," NBER Working Papers 14018, National Bureau of Economic Research, Inc.
    9. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "Multilateral Comparisons of Output, Input, and Productivity Using Superlative Index Numbers," Economic Journal, Royal Economic Society, vol. 92(365), pages 73-86, March.
    10. Jack E. Triplett, 2003. "Using Scanner Data in Consumer Price Indexes. Some Neglected Conceptual Considerations," NBER Chapters, in: Scanner Data and Price Indexes, pages 151-162 National Bureau of Economic Research, Inc.
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