IDEAS home Printed from https://ideas.repec.org/p/cfi/fseres/cf342.html
   My bibliography  Save this paper

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

Author

Listed:
  • Kota Watanabe

    (Chuo University and The University of Tokyo)

  • Tsutomu Watanabe

    (The University of Tokyo)

Abstract

No abstract is available for this item.

Suggested Citation

  • Kota Watanabe & Tsutomu Watanabe, 2014. "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 ," CARF F-Series CARF-F-342, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
  • Handle: RePEc:cfi:fseres:cf342
    as

    Download full text from publisher

    File URL: https://www.carf.e.u-tokyo.ac.jp/old/pdf/workingpaper/fseries/F342.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    4. Mio, Hitoshi & Higo, Masahiro, 1999. "Underlying Inflation and the Distribution of Price Change: Evidence from the Japanese Trimmed-Mean CPI," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 17(1), pages 103-132, May.
    5. IMAI Satoshi & SHIMIZU Chihiro & WATANABE Tsutomu, 2012. "How Fast Are Prices in Japan Falling?," Discussion papers 12075, Research Institute of Economy, Trade and Industry (RIETI).
    6. Robert C. Feenstra & Matthew D. Shapiro, 2003. "Introduction to "Scanner Data and Price Indexes"," NBER Chapters, in: Scanner Data and Price Indexes, pages 1-13, 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, President and Fellows of Harvard College, vol. 110(1), pages 161-193.
    8. 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, January.
    9. 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.
    10. 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.
    11. 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.
    12. Emi Nakamura & Jón Steinsson, 2008. "Five Facts about Prices: A Reevaluation of Menu Cost Models," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(4), pages 1415-1464.
    13. Satoshi Imai & Chihiro Shimizu & Tsutomu Watanabe, 2012. "How Fast Are Prices in Japan Falling?," UTokyo Price Project Working Paper Series 001, University of Tokyo, Graduate School of Economics, revised Oct 2012.
    14. Satoshi Imai & Chihiro Shimizu & Tsutomu Watanabe, 2012. "How Fast Are Prices in Japan Falling?," CARF F-Series CARF-F-298, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    15. 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.
    16. 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.
    17. Robert C. Feenstra & Matthew D. Shapiro, 2003. "Scanner Data and Price Indexes," NBER Books, National Bureau of Economic Research, Inc, number feen03-1, March.
    18. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kota Watanabe & Tsutomu Watanabe, 2014. "Estimating Daily Inflation Using Scanner Data: A Progress Report," UTokyo Price Project Working Paper Series 020, University of Tokyo, Graduate School of Economics.
    2. Kozo Ueda & Kota Watanabe & Tsutomu Watanabe, 2021. "Household Inventory, Temporary Sales, and Price Indices," CARF F-Series CARF-F-520, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    3. Kozo Ueda & Kota Watanabe & Tsutomu Watanabe, 2016. "Product Turnover and Deflation: Evidence from Japan," UTokyo Price Project Working Paper Series 073, University of Tokyo, Graduate School of Economics.
    4. Kozo Ueda & Kota Watanabe & Tsutomu Watanabe, 2020. "Consumer Inventory and the Cost of Living Index: Theory and Some Evidence from Japan," Working Papers on Central Bank Communication 025, University of Tokyo, Graduate School of Economics.
    5. Kozo Ueda & Kota Watanabe & Tsutomu Watanabe, 2018. "Product Turnover and the Cost of Living Index: Quality vs. Fashion Effects," Globalization Institute Working Papers 337, Federal Reserve Bank of Dallas.
    6. Tsutomu Watanabe & Tomoyoshi Yabu, 2018. "The Demand for Money at the Zero Interest Rate Bound," CARF F-Series CARF-F-444, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    7. Kevin J, Fox. & Iqbal A. Syed, 2016. "Price Discounts and the Measurement of Inflation: Further Results," Discussion Papers 2016-05, School of Economics, The University of New South Wales.
    8. Glandon, PJ, 2018. "Sales and the (Mis)measurement of price level fluctuations," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 60-77.
    9. Abe, Naohito & Moriguchi, Chiaki & Inakura, Noriko, 2014. "The Impact of the Great East Japan Earthquake on Commodity Prices: New Evidence from High-Frequency Scanner Data," Research Center for Price Dynamics Working Paper Series 12, Research Center for Price Dynamics, Institute of Economic Research, Hitotsubashi University.
    10. Diewert, W. Erwin & Fox, Kevin J., 2017. "Substitution Bias in Multilateral Methods for CPI Construction using Scanner Data," Microeconomics.ca working papers erwin_diewert-2017-3, Vancouver School of Economics, revised 23 Mar 2017.
    11. 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.
    12. Delajara Marcelo & Murillo Garza José Antonio, 2012. "Weekday with Low Prices: Evidence on Daily Seasonality of Foods, Beverages and Tobacco Prices," Working Papers 2012-09, Banco de México.
    13. Qingxiao Li & Metin Çakır, 2024. "Estimating SNAP purchasing power and its effect on participation," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(2), pages 779-804, March.
    14. James Albrecht & Fabien Postel‐Vinay & Susan Vroman, 2013. "An Equilibrium Search Model Of Synchronized Sales," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(2), pages 473-493, May.
    15. Hajime Tomura, 2016. "Investment Horizon and Repo in the Over‐the‐Counter Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(1), pages 145-164, February.
    16. Satoshi Imai & Tsutomu Watanabe, 2015. "Replicating Japan's CPI Using Scanner Data," CARF F-Series CARF-F-364, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    17. repec:hal:spmain:info:hdl:2441/11qd47gdim8v799d6edke9i68q is not listed on IDEAS
    18. Fox, Kevin J. & Syed, Iqbal A., 2016. "Price discounts and the measurement of inflation," Journal of Econometrics, Elsevier, vol. 191(2), pages 398-406.
    19. Li, Qingxiao & Cakir, Metin, 2020. "Thrifty Food Plan Panel Price Index and the Real Value of SNAP Benefits," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304201, Agricultural and Applied Economics Association.
    20. Satoshi Imai & Tsutomu Watanabe, 2015. "Replicating Japan’s CPI Using Scanner Data," UTokyo Price Project Working Paper Series 054, University of Tokyo, Graduate School of Economics.
    21. Ko Munakata & Takeshi Shinohara & Shigenori Shiratsuka & Nao Sudo & Tsutomu Watanabe, 2023. "On the Source of Seasonality in Price Changes: The Role of Seasonality in Menu Costs," IMES Discussion Paper Series 23-E-07, Institute for Monetary and Economic Studies, Bank of Japan.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cfi:fseres:cf342. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/catokjp.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.