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Heterogeneous Beliefs and the Phillips Curve

Author

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  • Roland Meeks
  • Francesca Monti

Abstract

Heterogeneous beliefs modify the New Keynesian Phillips curve by introducing a term in the cross-section distribution of expectations. We develop a novel functional data approach to estimation and inference in survey-based Phillips curves that accounts for variation in distributions of expectations, generalizing standard approaches. Our findings demonstrate the statistical and economic importance of heterogeneous beliefs for inflation dynamics, especially during periods of macroeconomic disruption.Our findings hold in similar form across two major economies.

Suggested Citation

  • Roland Meeks & Francesca Monti, 2022. "Heterogeneous Beliefs and the Phillips Curve," CAMA Working Papers 2022-51, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    • Handle: RePEc:een:camaaa:2022-51
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    Cited by:

    1. Tsiaplias, Sarantis, 2020. "Time-Varying Consumer Disagreement and Future Inflation," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    2. Grimaud, Alex & Salle, Isabelle & Vermandel, Gauthier, 2025. "A Dynare toolbox for social learning expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    3. Michael Ehrmann & Paul Hubert, 2022. "Information Acquisition ahead of Monetary Policy Announcements," Working papers 897, Banque de France.
    4. Meeks, Roland & Monti, Francesca, 2023. "Heterogeneous beliefs and the Phillips curve," Journal of Monetary Economics, Elsevier, vol. 139(C), pages 41-54.
    5. Arndt, Sarah, 2024. "Different Newspapers – Different Inflation Perceptions," Working Papers 0748, University of Heidelberg, Department of Economics.
    6. 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.
    7. 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.
    8. Rychalovska, Yuliya & Slobodyan, Sergey & Wouters, Raf, 2025. "Survey expectations, learning and inflation dynamics," European Economic Review, Elsevier, vol. 180(C).
    9. Ellison, Martin & Macaulay, Alistair, 2021. "A rational inattention unemployment trap," Journal of Economic Dynamics and Control, Elsevier, vol. 131(C).
    10. 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.
    11. Hilde C. Bjørnland & Yoosoon Chang & Jamie L. Cross, 2023. "Oil and the Stock Market Revisited: A Mixed Functional VAR Approach," CAMA Working Papers 2023-18, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    12. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Papers 2202.04146, arXiv.org, revised Oct 2024.
    13. Philippe Goulet Coulombe & Karin Klieber & Christophe Barrette & Maximilian Goebel, 2024. "Maximally Forward-Looking Core Inflation," Papers 2404.05209, arXiv.org.
    14. 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).
    15. Philip Bunn & Lena Anayi & Emily Barnes & Nicholas Bloom & Paul Mizen & Gregory Thwaites & Ivan Yotzov, 2024. "How Curvy is the Phillips Curve?," NBER Working Papers 33234, National Bureau of Economic Research, Inc.
    16. 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.
    17. 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.
    18. Christian Bayer & Luis Calderon & Moritz Kuhn, 2025. "Distributional Dynamics," ECONtribute Discussion Papers Series 351, University of Bonn and University of Cologne, Germany.

    More about this item

    Keywords

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    JEL classification:

    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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