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Tracking Inflation on a Daily Basis

Author

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  • Alvarez, Santiago E.
  • Lein, Sarah M.

    (University of Basel)

Abstract

Using online data for prices and real-time debit card transaction data on changes in expenditures for Switzerland allows us to track inflation on a daily basis. While the daily price index fluctuates around the official price index in normal times, it drops immediately after the lockdown related to the COVID19 pandemic. Official statistics reflect this drop only with a lag, specifically because data collection takes time and is impeded by lockdown conditions. Such daily real-time information can be useful to gauge the relative importance of demand and supply shocks and thus inform policymakers who need to determine appropriate policy measures.

Suggested Citation

  • Alvarez, Santiago E. & Lein, Sarah M., 2020. "Tracking Inflation on a Daily Basis," Working papers 2020/16, Faculty of Business and Economics - University of Basel.
    • Handle: RePEc:bsl:wpaper:2020/16
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    References listed on IDEAS

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    1. Florian Eckert & Heiner Mikosch, 2020. "Mobility and sales activity during the Corona crisis: daily indicators for Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-10, December.
    2. Alberto Cavallo, 2017. "Are Online and Offline Prices Similar? Evidence from Large Multi-channel Retailers," American Economic Review, American Economic Association, vol. 107(1), pages 283-303, January.
    3. Coibion, Olivier & Gorodnichenko, Yuriy & Weber, Michael, 2020. "The Cost of the COVID-19 Crisis: Lockdowns, Macroeconomic Expectations, and Consumer Spending," Department of Economics, Working Paper Series qt4jn1x65h, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    4. Sébastien Kraenzlin & Christoph Meyer & Thomas Nellen, 2020. "COVID-19 and regional shifts in Swiss retail payments," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-20, December.
    5. Balleer, Almut & Link, Sebastian & Menkhoff, Manuel & Zorn, Peter, 2020. "Demand or Supply? Price Adjustment during the COVID-19 Pandemic," IZA Discussion Papers 13568, Institute of Labor Economics (IZA).
    6. Walter Erwin Diewert & Marco Huwiler & Ulrich Kohli, 2009. "Retrospective Price Indices and Substitution Bias," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 145(II), pages 127-135, June.
    7. Vera Eichenauer & Ronald Indergand & Isabel Z. Martínez & Christoph Sax, 2020. "Constructing Daily Economic Sentiment Indices Based on Google Trends," KOF Working papers 20-484, KOF Swiss Economic Institute, ETH Zurich.
    8. David Baqaee & Emmanuel Farhi, 2022. "Supply and Demand in Disaggregated Keynesian Economies with an Application to the COVID-19 Crisis," American Economic Review, American Economic Association, vol. 112(5), pages 1397-1436, May.
    9. Brinca, Pedro & Duarte, Joao B. & Faria-e-Castro, Miguel, 2021. "Measuring labor supply and demand shocks during COVID-19," European Economic Review, Elsevier, vol. 139(C).
    10. Raphael Auer & Ariel Burstein & Sarah M. Lein, 2021. "Exchange Rates and Prices: Evidence from the 2015 Swiss Franc Appreciation," American Economic Review, American Economic Association, vol. 111(2), pages 652-686, February.
    11. Francesco D’Acunto & Ulrike Malmendier & Juan Ospina & Michael Weber, 2019. "Exposure to Daily Price Changes and Inflation Expectations," NBER Working Papers 26237, National Bureau of Economic Research, Inc.
    12. Rahel Braun & Sarah M. Lein, 2021. "Sources of Bias in Inflation Rates and Implications for Inflation Dynamics," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(6), pages 1553-1572, September.
    13. Asger Lau Andersen & Emil Toft Hansen & Niels Johannesen & Adam Sheridan, 2022. "Consumer responses to the COVID‐19 crisis: evidence from bank account transaction data," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(4), pages 905-929, October.
    14. Alberto Cavallo, 2024. "Inflation with Covid Consumption Baskets," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 72(2), pages 902-917, June.
    15. Veronica Guerrieri & Guido Lorenzoni & Ludwig Straub & Iván Werning, 2022. "Macroeconomic Implications of COVID-19: Can Negative Supply Shocks Cause Demand Shortages?," American Economic Review, American Economic Association, vol. 112(5), pages 1437-1474, May.
    16. Carvalho, V & Garcia, Juan R. & Hansen, S. & Ortiz, A. & Rodrigo, T. & More, J. V. R., 2020. "Tracking the COVID-19 Crisis with High-Resolution Transaction Data," Cambridge Working Papers in Economics 2030, Faculty of Economics, University of Cambridge.
    17. Marc Burri & Daniel Kaufmann, 2020. "A daily fever curve for the Swiss economy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-11, December.
    18. Etienne Gagnon, 2009. "Price Setting during Low and High Inflation: Evidence from Mexico," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(3), pages 1221-1263.
    19. Scott R Baker & Robert A Farrokhnia & Steffen Meyer & Michaela Pagel & Constantine Yannelis & Jeffrey Pontiff, 0. "How Does Household Spending Respond to an Epidemic? Consumption during the 2020 COVID-19 Pandemic," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 834-862.
    20. 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.
    21. Ariel Burstein, 2018. "Exchange Rates and Prices: Evidence from the 2015 Swiss Franc Appreciation," 2018 Meeting Papers 658, Society for Economic Dynamics.
    22. Péter Karádi & Ádám Reiff, 2010. "Inflation asymmetry, menu costs and aggregation bias – A further case for state dependent pricing," MNB Working Papers 2010/3, Magyar Nemzeti Bank (Central Bank of Hungary).
    23. Alberto Cavallo & W. Erwin Diewert & Robert C. Feenstra & Robert Inklaar & Marcel P. Timmer, 2018. "Using Online Prices for Measuring Real Consumption across Countries," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 483-487, May.
    24. Alberto Cavallo & Roberto Rigobon, 2016. "The Billion Prices Project: Using Online Prices for Measurement and Research," Journal of Economic Perspectives, American Economic Association, vol. 30(2), pages 151-178, Spring.
    25. Pascal Seiler, 2020. "Weighting bias and inflation in the time of COVID-19: evidence from Swiss transaction data," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-11, December.
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    Citations

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    Cited by:

    1. Chowdhury, Aftab & Dixon, Huw David, 2023. "Measuring inflation during the Pandemic with the benefit of hindsight," Cardiff Economics Working Papers E2023/17, Cardiff University, Cardiff Business School, Economics Section.
    2. Dr. Barbara Rudolf & Pascal Seiler, 2022. "Price setting before and during the pandemic: evidence from Swiss consumer prices," Working Papers 2022-12, Swiss National Bank.
    3. Martin Brown & Matthias R. Fengler & Jonas Huwyler & Winfried Koeniger & Rafael Lalive & Robert Rohrkemper, 2023. "Monitoring consumption Switzerland: data, background, and use cases," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-16, December.
    4. Henkel, Lukas & Wieland, Elisabeth & Błażejowska, Aneta & Conflitti, Cristina & Fabo, Brian & Fadejeva, Ludmila & Jonckheere, Jana & Karadi, Peter & Macias, Paweł & Menz, Jan-Oliver & Seiler, Pascal &, 2023. "Price setting during the coronavirus (COVID-19) pandemic," Occasional Paper Series 324, European Central Bank.
    5. Pascal Seiler, 2020. "Weighting bias and inflation in the time of COVID-19: evidence from Swiss transaction data," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-11, December.
    6. Beck, Günter W. & Carstensen, Kai & Menz, Jan-Oliver & Schnorrenberger, Richard & Wieland, Elisabeth, 2023. "Nowcasting consumer price inflation using high-frequency scanner data: Evidence from Germany," Discussion Papers 34/2023, Deutsche Bundesbank.
    7. Xu, Yingying & Lien, Donald, 2024. "Together in bad times? The effect of COVID-19 on inflation spillovers in China," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 316-331.
    8. Webel, Karsten, 2022. "A review of some recent developments in the modelling and seasonal adjustment of infra-monthly time series," Discussion Papers 31/2022, Deutsche Bundesbank.
    9. Huw Dixon & Aftab Chowdhury, 2023. "Energy Expenditures and CPI Inflation in 2022: Inflation Was Even Higher Than We Thought," National Institute of Economic and Social Research (NIESR) Discussion Papers 550, National Institute of Economic and Social Research.

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    Keywords

    Daily price index; scraped online price data; debit card expenditures; real-time information.;
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