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The Taming of the Skew : Asymmetric Inflation Risk and Monetary Policy

Author

Listed:
  • De Polis, Andrea

    (University of Strathclyde & ESCOE)

  • Melosi, Leonardo

    (University of Warwick, European University Institute, DNB & CEPR)

  • Petrella, Ivan

    (Collegio Carlo Alberto, University of Turin & CEPR)

Abstract

We document that inflation risk in the U.S. varies significantly over time and is often asymmetric. To analyze the first-order macroeconomic effects of these asymmetric risks within a tractable framework, we construct the beliefs representation of a general equilibrium model with skewed distribution of markup shocks. Optimal policy requires shifting agents’ expectations counter to the direction of inflation risks. We perform counterfactual analyses using a quantitative general equilibrium model to evaluate the implications of incorporating real-time estimates of the balance of inflation risks into monetary policy communications and decisions.

Suggested Citation

  • De Polis, Andrea & Melosi, Leonardo & Petrella, Ivan, 2024. "The Taming of the Skew : Asymmetric Inflation Risk and Monetary Policy," The Warwick Economics Research Paper Series (TWERPS) 1530, University of Warwick, Department of Economics.
    • Handle: RePEc:wrk:warwec:1530
    as

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    File URL: https://warwick.ac.uk/fac/soc/economics/research/workingpapers/2024/twerp_1530-_melosi.pdf
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    References listed on IDEAS

    as
    1. Delle Monache, Davide & Petrella, Ivan, 2017. "Adaptive models and heavy tails with an application to inflation forecasting," International Journal of Forecasting, Elsevier, vol. 33(2), pages 482-501.
    2. Mark Gertler & Nobuhiro Kiyotaki & Andrea Prestipino, 2020. "A Macroeconomic Model with Financial Panics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(1), pages 240-288.
    3. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    4. Chan, Joshua C.C., 2013. "Moving average stochastic volatility models with application to inflation forecast," Journal of Econometrics, Elsevier, vol. 176(2), pages 162-172.
    5. Antolín-Díaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2024. "Advances in nowcasting economic activity: The role of heterogeneous dynamics and fat tails," Journal of Econometrics, Elsevier, vol. 238(2).
    6. Manzan, Sebastiano & Zerom, Dawit, 2013. "Are macroeconomic variables useful for forecasting the distribution of U.S. inflation?," International Journal of Forecasting, Elsevier, vol. 29(3), pages 469-478.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Asymmetric risks ; optimal monetary policy ; balance of inflation risks ; risk-adjusted inflation targeting ; flexible average inflation targeting JEL Codes: E52 ; E31 ; C53;
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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