Scanner data, time aggregation and the construction of price indexes
AbstractWe examine the impact of time aggregation on price change estimates for 19 supermarket item categories using scanner data. Time aggregation choices lead to a difference in price change estimates for chained indexes which ranged from 0.28% to 29.73% for a superlative index and an incredible 14.88%-46,463.71% for a non-superlative index. Traditional index number theory appears to break down with weekly data, even for superlative indexes. Monthly and (in some cases) quarterly time aggregation were insufficient to eliminate downward drift in superlative indexes. To eliminate drift, a novel adaptation of a multilateral index number method is proposed.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Econometrics.
Volume (Year): 161 (2011)
Issue (Month): 1 (March)
Contact details of provider:
Web page: http://www.elsevier.com/locate/jeconom
Price indexes Scanner data Chain drift Multilateral index number methods Rolling window GEKS;
Other versions of this item:
- Diewert, Erwin & Fox, Kevin J. & Ivancic, Lorraine, 2009. "Scanner Data, Time Aggregation and the Construction of Price Indexes," Economics working papers erwin_diewert-2009-48, Vancouver School of Economics, revised 22 Sep 2009.
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
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