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We construct a Törnqvist daily price index using Japanese point of sale (POS) scannerdata spanning from 1988 to 2013. We find the following. First, the POS based inflation rate tends to be about 0.5 percentage points lower than the CPI inflation rate, although the difference between the two varies over time. Second, the difference between the two measures is greatest from 1992 to 1994, when, following the burst of bubble economy in 1991, the POS inflation rate drops rapidly and turns negative in June 1992, while the CPI inflation rate remains positive until summer 1994. Third, the standard deviation of daily POS inflation is 1.1 percent compared to a standard deviation for the monthly change in the CPI of 0.2 percent, indicating that daily POS inflation is much more volatile, mainly due to frequent switching between regular and sale prices. We show that the volatility in daily inflation can be reduced by more than 2daily inflation rate 0 percent by trimming the tails of product-level price change distributions. Finally, if we measure price changes from one day to the next and construct a chained Törnqvist index, a strong chain drift arises so that the chained price index falls to 10-10 of the base value over the 25-year sample period, which is equivalent to an annual deflation rate of 60 percent. We provide evidence suggesting that one source of the chain drift is fluctuations in sales quantity before, during, and after a sale period

Listed author(s):
  • Kota Watanabe

    (Chuo University and The University of Tokyo)

  • Tsutomu Watanabe

    (The University of Tokyo)

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    Paper provided by Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo in its series CARF F-Series with number CARF-F-342.

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    Length: 41 pages
    Date of creation: Feb 2014
    Handle: RePEc:cfi:fseres:cf342
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    1. Ivancic, Lorraine & Erwin Diewert, W. & Fox, Kevin J., 2011. "Scanner data, time aggregation and the construction of price indexes," Journal of Econometrics, Elsevier, vol. 161(1), pages 24-35, March.
    2. Jessie Handbury & Tsutomu Watanabe & David E. Weinstein, 2013. "How Much Do Official Price Indexes Tell Us about Inflation?," NBER Working Papers 19504, National Bureau of Economic Research, Inc.
    3. Reinsdorf, Marshall B, 1999. "Using Scanner Data to Construct CPI Basic Component Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(2), pages 152-160, April.
    4. Nao Sudo & Kozo Ueda & Kota Watanabe, 2014. "Micro Price Dynamics during Japan's Lost Decades," Asian Economic Policy Review, Japan Center for Economic Research, vol. 9(1), pages 44-64, 01.
    5. Correia, Isabel H. & Neves, Joao L. & Rebelo, Sergio, 1992. "Business cycles from 1850 to 1950 : New facts about old data," European Economic Review, Elsevier, vol. 36(2-3), pages 459-467, April.
    6. Robert C. Feenstra & Matthew D. Shapiro, 2003. "Introduction to "Scanner Data and Price Indexes"," NBER Chapters,in: Scanner Data and Price Indexes, pages 1-14 National Bureau of Economic Research, Inc.
    7. Laurence Ball & N. Gregory Mankiw, 1995. "Relative-Price Changes as Aggregate Supply Shocks," The Quarterly Journal of Economics, Oxford University Press, vol. 110(1), pages 161-193.
    8. Kenn Ariga & Kenji Matsui & Makoto Watanabe, 2001. "Hot and Spicy: Ups and Downs on the Price Floor and Ceiling at Japanese Supermarkets," Asia Pacific Economic Papers 316, Australia-Japan Research Centre, Crawford School of Public Policy, The Australian National University.
    9. Robert C. Feenstra & Matthew D. Shapiro, 2003. "Scanner Data and Price Indexes," NBER Books, National Bureau of Economic Research, Inc, number feen03-1, Enero-Jun.
    10. Morten O. Ravn & Harald Uhlig, 2002. "On adjusting the Hodrick-Prescott filter for the frequency of observations," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 371-375.
    11. de Haan, Jan & van der Grient, Heymerik A., 2011. "Eliminating chain drift in price indexes based on scanner data," Journal of Econometrics, Elsevier, vol. 161(1), pages 36-46, March.
    12. Abe, Naohito & Tonogi, Akiyuki, 2010. "Micro and macro price dynamics in daily data," Journal of Monetary Economics, Elsevier, vol. 57(6), pages 716-728, September.
    13. Emi Nakamura & Jón Steinsson, 2008. "Five Facts about Prices: A Reevaluation of Menu Cost Models," The Quarterly Journal of Economics, Oxford University Press, vol. 123(4), pages 1415-1464.
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