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Heterogeneous beliefs and the Phillips curve

Author

Listed:
  • Roland Meeks

    (International Monetary Fund)

  • Francesca Monti

    (Bank of England)

Abstract

We establish a set of novel empirical facts concerning cross-section distributions of inflation expectations reported in surveys. Almost all the variation in expectations about their mean may be summarized via three factors we call disagreement, skew, and shape. We adopt a functional principal component regression approach to estimating forward-looking models of inflation that exploits the heterogeneity present in individual-level data. By using survey information more effectively, our approach reveals an enhanced role for expectations in inflation dynamics that is robust to lagged inflation, trend inflation, and supply factors. Our findings hold in similar form across two major economies.

Suggested Citation

  • Roland Meeks & Francesca Monti, 2019. "Heterogeneous beliefs and the Phillips curve," Bank of England Staff Working Paper series 807, Bank of England.
  • Handle: RePEc:boe:boeewp:0807
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    References listed on IDEAS

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    1. Olivier Coibion & Yuriy Gorodnichenko & Saten Kumar, 2018. "How Do Firms Form Their Expectations? New Survey Evidence," American Economic Review, American Economic Association, vol. 108(9), pages 2671-2713, September.
    2. Pfajfar, Damjan & Santoro, Emiliano, 2010. "Heterogeneity, learning and information stickiness in inflation expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 426-444, September.
    3. López-Pintado, Sara & Romo, Juan, 2009. "On the Concept of Depth for Functional Data," Journal of the American Statistical Association, American Statistical Association, vol. 104(486), pages 718-734.
    4. Sophocles Mavroeidis & Mikkel Plagborg-M?ller & James H. Stock, 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 124-188, March.
    5. Cobham,David & Eitrheim,Øyvind & Gerlach,Stefan & Qvigstad,Jan F. (ed.), 2010. "Twenty Years of Inflation Targeting," Cambridge Books, Cambridge University Press, number 9780521768184.
    6. Bowsher, Clive G. & Meeks, Roland, 2008. "The Dynamics of Economic Functions: Modeling and Forecasting the Yield Curve," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1419-1437.
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    Cited by:

    1. Ehrmann, Michael & Hubert, Paul, 2026. "Information acquisition ahead of monetary policy announcements," European Economic Review, Elsevier, vol. 184(C).
    2. Christian Bayer & Luis Calderon & Moritz Kuhn, 2025. "Distributional Dynamics," ECONtribute Discussion Papers Series 351, University of Bonn and University of Cologne, Germany.
    3. Tsiaplias, Sarantis, 2020. "Time-Varying Consumer Disagreement and Future Inflation," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    4. Arndt, Sarah, 2024. "Different Newspapers – Different Inflation Perceptions," Working Papers 0748, University of Heidelberg, Department of Economics.
    5. Czudaj, Robert L., 2023. "Anchoring of Inflation Expectations and the Role of Monetary Policy and Cost-Push Factors," MPRA Paper 119029, University Library of Munich, Germany.
    6. Minsu Chang & Xiaohong Chen & Frank Schorfheide, 2024. "Heterogeneity and Aggregate Fluctuations," Journal of Political Economy, University of Chicago Press, vol. 132(12), pages 4021-4067.
    7. Ellison, Martin & Macaulay, Alistair, 2021. "A rational inattention unemployment trap," Journal of Economic Dynamics and Control, Elsevier, vol. 131(C).
    8. Andros Kourtellos & Christos Antonios Statheas & Marios Zachariadis, 2025. "What can we learn from the distributions of inflation expectations across European households?," University of Cyprus Working Papers in Economics 02-2025, University of Cyprus Department of Economics.
    9. Koop, Gary & McIntyre, Stuart & Mitchell, James & Wu, Ping, 2026. "Incorporating Micro Data into Macro Models using Pseudo VARs," Discussion Papers escoe-dp-2026-04, Economic Statistics Centre of Excellence.
    10. Jessica Piccolo & Alessia Russo & Eleonora Granziera & Efrem Castelnuovo, 2025. "Households’ Macroeconomic Beliefs: The Role of Education," "Marco Fanno" Working Papers 0316, Dipartimento di Scienze Economiche "Marco Fanno".
    11. Grimaud, Alex & Salle, Isabelle & Vermandel, Gauthier, 2025. "A Dynare toolbox for social learning expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    12. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Working Papers 22-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    13. Naoya Nagasaka, 2026. "Identifying Macro Shocks from Micro Evidence: A Mixed Autoregressive Approach," Discussion Paper Series DP2026-18, Research Institute for Economics & Business Administration, Kobe University.
    14. Hilde C. Bjørnland & Yoosoon Chang & Jamie L. Cross, 2026. "Oil and the stock market revisited: A mixed functional VAR approach," Quantitative Economics, Econometric Society, vol. 17(2), pages 541-589, May.
    15. Andreasen, Martin M. & Caggiano, Giovanni & Castelnuovo, Efrem & Pellegrino, Giovanni, 2024. "Does risk matter more in recessions than in expansions? Implications for monetary policy," Journal of Monetary Economics, Elsevier, vol. 143(C).
    16. Yoosoon Chang & Ana María Herrera & Elena Pesavento, 2023. "Oil prices uncertainty, endogenous regime switching, and inflation anchoring," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 820-839, September.
    17. Philip Bunn & Lena Anayi & Emily Barnes & Nicholas Bloom & Aaron Jalca & Paul Mizen & Gregory Thwaites & Ivan Yotzov, 2024. "How Curvy is the Phillips Curve?," NBER Working Papers 33234, National Bureau of Economic Research, Inc.
    18. Yoosoon Chang & Soyoung Kim & Joon Y. Park, 2025. "How Do Macroaggregates and Income Distribution Interact Dynamically? A Novel Structural Mixed Autoregression with Aggregate and Functional Variables," Working Papers No 01/2025, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    19. Rychalovska, Yuliya & Slobodyan, Sergey & Wouters, Raf, 2025. "Survey expectations, learning and inflation dynamics," European Economic Review, Elsevier, vol. 180(C).
    20. Bullard, James & Grimaud, Alex & Salle, Isabelle & Vermandel, Gauthier, 2026. "Soft landing and inflation scares," Journal of Monetary Economics, Elsevier, vol. 157(C).
    21. Philippe Goulet Coulombe & Karin Klieber & Christophe Barrette & Maximilian Goebel, 2024. "Maximally Forward-Looking Core Inflation," Papers 2404.05209, arXiv.org.
    22. Meeks, Roland & Monti, Francesca, 2023. "Heterogeneous beliefs and the Phillips curve," Journal of Monetary Economics, Elsevier, vol. 139(C), pages 41-54.

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    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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