IDEAS home Printed from https://ideas.repec.org/p/red/sed019/894.html
   My bibliography  Save this paper

Biased Inflation Forecasts

Author

Listed:
  • Hassan Afrouzi

    (Columbia University)

  • Laura Veldkamp

    (Columbia University)

Abstract

Recent work finds that people's beliefs about inflation are systematically upward biased. Since inflation expectations are central to the efficacy of monetary policy, understanding these expectations, and their biases, is important for policy. While one can always find preference-based explanations for bias, the fact that more informed agents have less upward bias, suggests some connection to information, as opposed to preferences. This paper proposes a rational Bayesian explanation for the bias: Agents with parameter uncertainty over positively-skewed distributions have a positive bias in their forecast. We use inflation and survey data to show that this mechanism can quantitatively explain the magnitude of the bias. The model implies that communicating about inflation skewness may be an important dimension of forward guidance.

Suggested Citation

  • Hassan Afrouzi & Laura Veldkamp, 2019. "Biased Inflation Forecasts," 2019 Meeting Papers 894, Society for Economic Dynamics.
  • Handle: RePEc:red:sed019:894
    as

    Download full text from publisher

    File URL: https://red-files-public.s3.amazonaws.com/meetpapers/2019/paper_894.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lars Peter Hansen & Thomas J Sargent, 2014. "Beliefs, Doubts and Learning: Valuing Macroeconomic Risk," World Scientific Book Chapters, in: UNCERTAINTY WITHIN ECONOMIC MODELS, chapter 10, pages 331-377, World Scientific Publishing Co. Pte. Ltd..
    2. Saten Kumar & Hassan Afrouzi & Olivier Coibion & Yuriy Gorodnichenko, 2015. "Inflation Targeting Does Not Anchor Inflation Expectations: Evidence from Firms in New Zealand," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 46(2 (Fall)), pages 151-225.
    3. Bartosz Mackowiak & Mirko Wiederholt, 2009. "Optimal Sticky Prices under Rational Inattention," American Economic Review, American Economic Association, vol. 99(3), pages 769-803, June.
    4. Anmol Bhandari & Jaroslav Borovicka & Paul Ho, 2019. "Survey Data and Subjective Beliefs in Business Cycle Models," Working Paper 19-14, Federal Reserve Bank of Richmond.
    5. Lars Peter Hansen, 2007. "Beliefs, Doubts and Learning: Valuing Economic Risk," NBER Working Papers 12948, National Bureau of Economic Research, Inc.
    6. Michael F. Bryan & Brent Meyer & Nicholas B. Parker, 2014. "The inflation expectations of firms: what do they look like, are they accurate, and do they matter?," FRB Atlanta Working Paper 2014-27, Federal Reserve Bank of Atlanta.
    7. Timothy Cogley & Thomas J. Sargent, 2005. "The conquest of US inflation: Learning and robustness to model uncertainty," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 528-563, April.
    8. Hui Chen & Winston Wei Dou & Leonid Kogan, 2019. "Measuring “Dark Matter” in Asset Pricing Models," NBER Working Papers 26418, National Bureau of Economic Research, Inc.
    9. Christopher D. Carroll, 2003. "Macroeconomic Expectations of Households and Professional Forecasters," The Quarterly Journal of Economics, Oxford University Press, vol. 118(1), pages 269-298.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gorodnichenko, Yuriy & Sergeyev, Dmitriy, 2021. "Zero Lower Bound on Inflation Expectations," IZA Discussion Papers 14853, Institute of Labor Economics (IZA).
    2. Kenneth Eva & Fabian Winkler, 2023. "A Comprehensive Empirical Evaluation of Biases in Expectation Formation," Finance and Economics Discussion Series 2023-042, Board of Governors of the Federal Reserve System (U.S.).

    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. Laura Veldkamp & Anna Orlik, 2016. "Understanding Uncertainty Shocks and the Role of the Black Swan," Working Papers 16-04, New York University, Leonard N. Stern School of Business, Department of Economics.
    2. Stefano Eusepi & Richard Crump & Emanuel Moench & Philippe Andrade, 2014. "Noisy Information and Fundamental Disagreement," 2014 Meeting Papers 797, Society for Economic Dynamics.
    3. Andrade, Philippe & Crump, Richard K. & Eusepi, Stefano & Moench, Emanuel, 2016. "Fundamental disagreement," Journal of Monetary Economics, Elsevier, vol. 83(C), pages 106-128.
    4. Laura Veldkamp, 2022. "Understanding Uncertainty Shocks and the Role of Black Swans," Finance and Economics Discussion Series 2022-083, Board of Governors of the Federal Reserve System (U.S.).
    5. Serafín Frache & Rodrigo Lluberas, 2017. "New information and inflation expectations among firms," Documentos de trabajo 2017013, Banco Central del Uruguay.
    6. Julian Kozlowski & Laura Veldkamp & Venky Venkateswaran, 2019. "The Tail That Keeps the Riskless Rate Low," NBER Macroeconomics Annual, University of Chicago Press, vol. 33(1), pages 253-283.
    7. Anna Orlik & Laura Veldkamp, 2014. "Understanding Uncertainty Shocks and the Role of Black Swans," NBER Working Papers 20445, National Bureau of Economic Research, Inc.
    8. Julian Kozlowski & Laura Veldkamp & Venky Venkateswaran, 2020. "The Tail That Wags the Economy: Beliefs and Persistent Stagnation," Journal of Political Economy, University of Chicago Press, vol. 128(8), pages 2839-2879.
    9. Kose, M. Ayhan & Matsuoka, Hideaki & Panizza, Ugo & Vorisek, Dana, 2019. "Inflation Expectations: Review and Evidence," CEPR Discussion Papers 13601, C.E.P.R. Discussion Papers.
    10. Rosen Valchev & Cosmin Ilut, 2017. "Economic Agents as Imperfect Problem Solvers," 2017 Meeting Papers 1285, Society for Economic Dynamics.
    11. Laura Veldkamp & Anna Orlik, 2013. "Understanding Uncertainty Shocks," 2013 Meeting Papers 391, Society for Economic Dynamics.
    12. Julian Kozlowski & Laura Veldkamp & Venky Venkateswaran, 2015. "The Tail that Wags the Economy: Belief-Driven Business Cycles and Persistent Stagnation," Working Papers 15-10, New York University, Leonard N. Stern School of Business, Department of Economics.
    13. Lars P. Hansen & Thomas J. Sargent, 2016. "Sets of Models and Prices of Uncertainty," NBER Working Papers 22000, National Bureau of Economic Research, Inc.
    14. Hansen, Lars Peter & Sargent, Thomas J., 2021. "Macroeconomic uncertainty prices when beliefs are tenuous," Journal of Econometrics, Elsevier, vol. 223(1), pages 222-250.
    15. Cosmin L. Ilut & Martin Schneider, 2022. "Modeling Uncertainty as Ambiguity: a Review," NBER Working Papers 29915, National Bureau of Economic Research, Inc.
    16. Alistair Macaulay, 2022. "Heterogeneous Information, Subjective Model Beliefs, and the Time-Varying Transmission of Shocks," CESifo Working Paper Series 9733, CESifo.
    17. Szőke, Bálint, 2022. "Estimating robustness," Journal of Economic Theory, Elsevier, vol. 199(C).
    18. Cosmin Ilut & Rosen Valchev & Nicolas Vincent, 2020. "Paralyzed by Fear: Rigid and Discrete Pricing Under Demand Uncertainty," Econometrica, Econometric Society, vol. 88(5), pages 1899-1938, September.
    19. Laura Veldkamp & Anna Orlik, 2014. "Uncertainty Shocks and the Role of the Black Swan," 2014 Meeting Papers 275, Society for Economic Dynamics.
    20. Julian Kozlowski & Laura Veldkamp & Venky Venkateswaran, 2020. "Scarring Body and Mind: The Long-Term Belief-Scarring Effects of COVID-19," NBER Working Papers 27439, National Bureau of Economic Research, Inc.

    More about this item

    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:red:sed019:894. 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: Christian Zimmermann (email available below). General contact details of provider: https://edirc.repec.org/data/sedddea.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.