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Monetary policy communication shocks and the macroeconomy

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  • Robert Goodhead
  • Benedikt Kolb

Abstract

Using high‐frequency identification, we provide evidence that Fed communication surprises have larger macroeconomic effects than surprise actions. Three ingredients are central to show this: structurally distinguishing between Fed actions and communication, controlling for the Fed information effect, and including the surprise measures directly in a vector autoregression (VAR) system instead of using them as instruments. We also compare the macroeconomic effects of Fed communication surprises relating to varying horizons into the future. Fed communication with a two‐year horizon appears most powerful during the effective lower‐bound period, consistent with theoretical predictions regarding Fed forward guidance.

Suggested Citation

  • Robert Goodhead & Benedikt Kolb, 2025. "Monetary policy communication shocks and the macroeconomy," Economica, London School of Economics and Political Science, vol. 92(365), pages 173-198, January.
  • Handle: RePEc:bla:econom:v:92:y:2025:i:365:p:173-198
    DOI: 10.1111/ecca.12550
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    2. Ricardo J. Caballero & Alp Simsek, 2022. "Monetary Policy with Opinionated Markets," American Economic Review, American Economic Association, vol. 112(7), pages 2353-2392, July.

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    More about this item

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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