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Inflation Expectations with Finite Horizon Planning

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Abstract

Under finite horizon planning, households and firms evaluate a full set of state-contingent paths along which the economy might evolve out to a finite horizon but have limited ability to process events beyond that horizon. We show--analytically and empirically--that such a model accounts for an initial underreaction and subsequent overreaction of inflation forecasts. A planning horizon of four quarters can account for the evidence on the predictability of inflation forecast errors and macroeconomic data. Our identification and estimation strategies combine full-information methods based on aggregate data with regression-based estimates that directly use inflation expectations data.

Suggested Citation

  • Christopher J. Gust & Edward P. Herbst & J. David López-Salido, 2024. "Inflation Expectations with Finite Horizon Planning," Finance and Economics Discussion Series 2024-063, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgfe:2024-63
    DOI: 10.17016/FEDS.2024.063
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    Cited by:

    1. Gust, Christopher & Herbst, Edward & López-Salido, David, 2025. "Optimal monetary policy with uncertain private sector foresight," Journal of Monetary Economics, Elsevier, vol. 155(C).
    2. Haochun Ma & Jordan Roulleau-Pasdeloup, 2025. "Clearing Up the Effective Lower Bound Morass," Papers 2511.04782, arXiv.org.

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    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E70 - Macroeconomics and Monetary Economics - - Macro-Based Behavioral Economics - - - General

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