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Consumer price measurement under the first wave of the COVID-19 spread in Japan: Scanner data evidence for retailers in Tokyo

Author

Listed:
  • Higo, Masahiro
  • Shiratsuka, Shigenori
Abstract
In this paper, we examine the CPI (consumer price index) measurement errors under the first wave of the COVID-19 spread in Japan. To address this question, we construct high-frequency quality-adjusted price indices by employing daily scanner data from retail stores in Tokyo. We demonstrate the importance of using price data with the wide-ranging coverage of products and outlets by making explicit adjustments for temporary sales effects and retail service quality in examining the retail price dynamics under the COVID-19 pandemic as the voluntary lockdown constrained household purchasing behavior. Note that the sources of the CPI measurement errors under the COVID-19 pandemic differ significantly from those in the US, observed as wide-ranging and long-lasting stockouts. We show that downward bias, not upward bias generally advocated, was observed during the first wave of the COVID-19 spread in Japan. The magnitude of the downward bias is estimated at from −0.6 to −0.3 points on the CPI for food less perishables and eating out on the basis of cumulative changes from January 2020 to June. The contribution of the estimates to the overall CPI is −0.3% to −0.15% points on an annualized basis, considering that the estimation covers half-year and the weights are about a quarter of the overall CPI. The magnitude of measurement errors is deemed limited, and the overall trend of the CPI remains unchanged even after incorporating the estimated downward bias. It should be noted that this downward bias arises mainly from the “one-specification-for-one-item” policy by weakening the price representativeness in the Japanese CPI.

Suggested Citation

  • Higo, Masahiro & Shiratsuka, Shigenori, 2023. "Consumer price measurement under the first wave of the COVID-19 spread in Japan: Scanner data evidence for retailers in Tokyo," Japan and the World Economy, Elsevier, vol. 65(C).
    • Handle: RePEc:eee:japwor:v:65:y:2023:i:c:s0922142523000026
    DOI: 10.1016/j.japwor.2023.101176
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    References listed on IDEAS

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    1. Shibamoto, Masahiko & Hayaki, Shoka & Ogisu, Yoshitaka, 2022. "COVID-19 infection spread and human mobility," Journal of the Japanese and International Economies, Elsevier, vol. 64(C).
    2. Tsutomu Watanabe & Tomoyoshi Yabu, 2021. "Japan’s voluntary lockdown: further evidence based on age-specific mobile location data," The Japanese Economic Review, Springer, vol. 72(3), pages 333-370, July.
    3. Daisuke Fujii & Taisuke Nakata, 2021. "COVID-19 and output in Japan," The Japanese Economic Review, Springer, vol. 72(4), pages 609-650, October.
    4. Abe, Naohito & 阿部, 修人 & Inoue, Toshikatsu & Sato, Hideyasu, 2020. "Price Index Numbers Under Large-Scale Demand Shocks: The Japanese Experience of the COVID-19 Pandemic," RCESR Discussion Paper Series DP20-2, Research Center for Economic and Social Risks, Institute of Economic Research, Hitotsubashi University.
    5. Kehoe, Patrick & Midrigan, Virgiliu, 2015. "Prices are sticky after all," Journal of Monetary Economics, Elsevier, vol. 75(C), pages 35-53.
    6. Kozo Ueda & Kota Watanabe & Tsutomu Watanabe, 2019. "Product Turnover and the Cost-of-Living Index: Quality versus Fashion Effects," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(2), pages 310-347, April.
    7. Nao Sudo & Kozo Ueda & Kota Watanabe & Tsutomu Watanabe, 2018. "Working Less and Bargain Hunting More: Macroimplications of Sales during Japan's Lost Decades," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(2-3), pages 449-478, March.
    8. W. Erwin Diewert & Kevin J. Fox, 2020. "Measuring Real Consumption and CPI Bias under Lockdown Conditions," NBER Working Papers 27144, National Bureau of Economic Research, Inc.
    9. Cavallo, Alberto & Kryvtsov, Oleksiy, 2023. "What can stockouts tell us about inflation? Evidence from online micro data," Journal of International Economics, Elsevier, vol. 146(C).
    10. Jan de Haan & Rens Hendriks & Michael Scholz, 2021. "Price Measurement Using Scanner Data: Time‐Product Dummy Versus Time Dummy Hedonic Indexes," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(2), pages 394-417, June.
    11. Jan de Haan & Frances Krsinich, 2014. "Scanner Data and the Treatment of Quality Change in Nonrevisable Price Indexes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(3), pages 341-358, July.
    12. Satoshi Imai & Tsutomu Watanabe, 2014. "Product Downsizing and Hidden Price Increases: Evidence from Japan's Deflationary Period," Asian Economic Policy Review, Japan Center for Economic Research, vol. 9(1), pages 69-89, January.
    13. Hosono, Kaoru, 2021. "Epidemic and Economic Consequences of Voluntary and Request-based Lockdowns in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 61(C).
    14. Shigenori Shiratsuka, 1995. "Automobile Prices and Quality Changes : A Hedonic Price Analysis of Japanese Automobile Market," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 13(2), pages 1-44, December.
    15. 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.
    16. Tsutomu Watanabe & Yuki Omori, 2020. "How Much Did People Refrain from Service Consumption due to the Outbreak of COVID-19?," Working Papers on Central Bank Communication 021, University of Tokyo, Graduate School of Economics.
    17. Yoko Konishi & Takashi Saito & Toshiki Ishikawa & Hajime Kanai & Naoya Igei, 2021. "How Did Japan Cope with COVID-19? Big Data and Purchasing Behavior," Asian Economic Papers, MIT Press, vol. 20(1), pages 146-167, Winter/Sp.
    18. Shiratsuka, Shigenori, 1999. "Measurement Errors in the Japanese Consumer Price Index," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 17(3), pages 69-102, December.
    19. Alberto Cavallo, 2024. "Inflation with Covid Consumption Baskets," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 72(2), pages 902-917, June.
    20. Shiratsuka, Shigenori, 2021. "Lower-Level Substitution Bias in the Japanese Consumer Price Index: Evidence from Government Micro Data," Discussion Paper Series 722, Institute of Economic Research, Hitotsubashi University.
    21. Martin Eichenbaum & Nir Jaimovich & Sergio Rebelo, 2011. "Reference Prices, Costs, and Nominal Rigidities," American Economic Review, American Economic Association, vol. 101(1), pages 234-262, February.
    22. 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.
    23. Tsutomu Watanabe & Tomoyoshi Yabu, 2021. "Japan’s Voluntary Lockdown: Further Evidence Based on Age-Specific Mobile Location Data," CARF F-Series CARF-F-508, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
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    More about this item

    Keywords

    Consumer price index; Scanner data; Quality adjustment; Retail service quality; Temporary sales; COVID-19;
    All these keywords.

    JEL classification:

    • 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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