IDEAS home Printed from https://ideas.repec.org/p/zbw/bubdps/172023.html
   My bibliography  Save this paper

The pass-through from inflation perceptions to inflation expectations

Author

Listed:
  • Huber, Stefanie J.
  • Minina, Daria
  • Schmidt, Tobias

Abstract

This paper documents a strong relationship between households' perceptions about inflation over the past 12 months and households' short- and long-term expectations about future inflation. This relationship is strong during periods of high-inflation but even stronger during low-inflation periods. We establish a causal relationship by implementing a randomized information provision experiment in a large and representative survey to generate an exogenous variation in inflation perceptions. Our results show that household perceptions about past inflation drive their expectations about future inflation rates. The strength of the pass-through from perceptions to expectations varies across socioeconomic groups. We identify two critical moderating factors for this heterogeneity; differences in individual uncertainty about future inflation and information acquisition. Further, we show that the large majority of households rely on their shopping experience when forming their perceptions about past inflation and pay particular attention to food and fuel prices. The shopping experience affects inflation expectations indirectly - through perceptions.

Suggested Citation

  • Huber, Stefanie J. & Minina, Daria & Schmidt, Tobias, 2023. "The pass-through from inflation perceptions to inflation expectations," Discussion Papers 17/2023, Deutsche Bundesbank.
  • Handle: RePEc:zbw:bubdps:172023
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/273729/1/2023-06-30-dkp-17-data.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Olivier Coibion & Yuriy Gorodnichenko & Michael Weber, 2021. "Fiscal Policy and Households’ Inflation Expectations: Evidence from a Randomized Control Trial," NBER Working Papers 28485, National Bureau of Economic Research, Inc.
    2. Alberto Cavallo & Guillermo Cruces & Ricardo Perez-Truglia, 2017. "Inflation Expectations, Learning, and Supermarket Prices: Evidence from Survey Experiments," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(3), pages 1-35, July.
    3. Michael Weber & Yuriy Gorodnichenko & Olivier Coibion, 2023. "The Expected, Perceived, and Realized Inflation of US Households Before and During the COVID19 Pandemic," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(1), pages 326-368, March.
    4. Kaplan, Greg & Schulhofer-Wohl, Sam, 2017. "Inflation at the household level," Journal of Monetary Economics, Elsevier, vol. 91(C), pages 19-38.
    5. Binder, Carola C., 2017. "Measuring uncertainty based on rounding: New method and application to inflation expectations," Journal of Monetary Economics, Elsevier, vol. 90(C), pages 1-12.
    6. Ulrike Malmendier, 2021. "Exposure, Experience, and Expertise: Why Personal Histories Matter in Economics," NBER Working Papers 29336, National Bureau of Economic Research, Inc.
    7. Heemeijer, Peter & Hommes, Cars & Sonnemans, Joep & Tuinstra, Jan, 2009. "Price stability and volatility in markets with positive and negative expectations feedback: An experimental investigation," Journal of Economic Dynamics and Control, Elsevier, vol. 33(5), pages 1052-1072, May.
    8. Duca-Radu, Ioana & Kenny, Geoff & Reuter, Andreas, 2021. "Inflation expectations, consumption and the lower bound: Micro evidence from a large multi-country survey," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 120-134.
    9. Olivier Armantier & Scott Nelson & Giorgio Topa & Wilbert van der Klaauw & Basit Zafar, 2016. "The Price Is Right: Updating Inflation Expectations in a Randomized Price Information Experiment," The Review of Economics and Statistics, MIT Press, vol. 98(3), pages 503-523, July.
    10. Rodolfo Arioli & Colm Bates & Heinz Dieden & Ioana Duca & Roberta Friz & Christian Gayer & Geoff Kenny & Aidan Meyler & Iskra Pavlova, 2016. "EU Consumers’ Quantitative Inflation Perceptions and Expectations: An Evaluation," European Economy - Discussion Papers 038, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    11. Olivier Coibion & Yuriy Gorodnichenko, 2012. "What Can Survey Forecasts Tell Us about Information Rigidities?," Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 116-159.
    12. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
    13. Jonung, Lars, 1981. "Perceived and Expected Rates of Inflation in Sweden," American Economic Review, American Economic Association, vol. 71(5), pages 961-968, December.
    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. Andrade, Philippe & Gautier, Erwan & Mengus, Eric, 2023. "What matters in households’ inflation expectations?," Journal of Monetary Economics, Elsevier, vol. 138(C), pages 50-68.
    2. Michael Weber & Francesco D'Acunto & Yuriy Gorodnichenko & Olivier Coibion, 2022. "The Subjective Inflation Expectations of Households and Firms: Measurement, Determinants, and Implications," Journal of Economic Perspectives, American Economic Association, vol. 36(3), pages 157-184, Summer.
    3. Goldfayn-Frank, Olga & Wohlfart, Johannes, 2018. "How do consumers adapt to a new environment in their economic forecasting? Evidence from the German reunification," IMFS Working Paper Series 129, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    4. Larsen, Vegard H. & Thorsrud, Leif Anders & Zhulanova, Julia, 2021. "News-driven inflation expectations and information rigidities," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 507-520.
    5. Coibion, Olivier & Gorodnichenko, Yuriy & Kumar, Saten & Pedemonte, Mathieu, 2020. "Inflation expectations as a policy tool?," Journal of International Economics, Elsevier, vol. 124(C).
    6. Sandor Axelrod & David E. Lebow & Ekaterina V. Peneva, 2018. "Perceptions and Expectations of Inflation by U.S. Households," Finance and Economics Discussion Series 2018-073, Board of Governors of the Federal Reserve System (U.S.).
    7. Dietrich, Alexander M., 2023. "Consumption categories, household attention, and inflation expectations: Implications for optimal monetary policy," University of Tübingen Working Papers in Business and Economics 157, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
    8. Jarko Fidrmuc & Christa Hainz & Werner Hölzl, 2018. "Individual Credit Market Experience and Perception of Aggregate Bank Lending. Evidence from a Firm Survey," WIFO Working Papers 574, WIFO.
    9. Goldfayn-Frank, Olga & Wohlfart, Johannes, 2020. "Expectation formation in a new environment: Evidence from the German reunification," Journal of Monetary Economics, Elsevier, vol. 115(C), pages 301-320.
    10. Goldfayn-Frank, Olga & Wohlfart, Johannes, 2019. "How Do Consumers Adapt to a New Environment in their economic forecasting? Evidence from the German Reunification," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203668, Verein für Socialpolitik / German Economic Association.
    11. Francesco D'Acunto & Ulrike M. Malmendier & Juan Ospina & Michael Weber & Michael Weber, 2019. "Exposure to Daily Price Changes and Inflation Expectations," CESifo Working Paper Series 7798, CESifo.
    12. Bartosz Maćkowiak & Filip Matějka & Mirko Wiederholt, 2023. "Rational Inattention: A Review," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 226-273, March.
    13. Michael Weber & Yuriy Gorodnichenko & Olivier Coibion, 2023. "The Expected, Perceived, and Realized Inflation of US Households Before and During the COVID19 Pandemic," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(1), pages 326-368, March.
    14. Cornand, Camille & Hubert, Paul, 2022. "Information frictions across various types of inflation expectations," European Economic Review, Elsevier, vol. 146(C).
    15. Gaurav Kumar Singh & Tathagata Bandyopadhyay, 2024. "Determinants of disagreement: Learning from inflation expectations survey of households," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 326-343, March.
    16. Alberto Cavallo & Guillermo Cruces & Ricardo Perez-Truglia, 2017. "Inflation Expectations, Learning, and Supermarket Prices: Evidence from Survey Experiments," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(3), pages 1-35, July.
    17. Viral V. Acharya & Matteo Crosignani & Tim Eisert & Christian Eufinger, 2023. "How Do Supply Shocks to Inflation Generalize? Evidence from the Pandemic Era in Europe," NBER Working Papers 31790, National Bureau of Economic Research, Inc.
    18. Lukas Buchheim & Sebastian Link, 2017. "The Effect of Disaggregate Information on the Expectation Formation of Firms," CESifo Working Paper Series 6768, CESifo.
    19. Francesco D’Acunto & Daniel Hoang & Maritta Paloviita & Michael Weber, 2023. "IQ, Expectations, and Choice," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2292-2325.
    20. Duca, Ioana A. & Kenny, Geoff & Reuter, Andreas, 2018. "Inflation expectations, consumption and the lower bound: micro evidence from a large euro area survey," Working Paper Series 2196, European Central Bank.

    More about this item

    Keywords

    inflation dynamics; expectations; perceptions; uncertainty; household finance; monetary policy; randomized control trial;
    All these keywords.

    JEL classification:

    • D10 - Microeconomics - - Household Behavior - - - General
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • G40 - Financial Economics - - Behavioral Finance - - - General
    • G50 - Financial Economics - - Household Finance - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:bubdps:172023. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/dbbgvde.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.