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Tempting FAIT: Flexible Average Inflation Targeting and the Post-COVID U.S. Inflation Surge

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Abstract

In August 2020, the Federal Reserve replaced Flexible Inflation Targeting (FIT) with Flexible Average Inflation Targeting (FAIT), introducing make-up strategies that allow inflation to temporarily exceed the 2% target. Using a synthetic control approach, we estimate that FAIT raised CPI inflation by about 1 percentage point and core CPI inflation by 0.5 percentage points, suggesting a moderate impact net of food and energy and a largely temporary effect. Short- to medium-term inflation expectations increased by approximately 0.8 percentage points, while long-term expectations remained anchored. The effects of FAIT on economic activity were, if anything, minimal. Our results are robust across multiple specifications, including alternative price indices, synthetic control estimators, control groups and adjustments for global supply chain pressures, economic activity, fiscal policy, commodity prices, interest rates and monetary aggregates. The differing macroeconomic outcomes under FAIT versus a counterfactual FIT characterized by moderate inflationary effects, negligible real effects and anchored long-term expectations, are consistent with the hypothesis of a steeper-than-expected post-pandemic Phillips curve in the New Keynesian model.

Suggested Citation

  • Roberto Duncan & Enrique Martínez García & Luke Miller, 2025. "Tempting FAIT: Flexible Average Inflation Targeting and the Post-COVID U.S. Inflation Surge," Working Papers 2511, Federal Reserve Bank of Dallas.
    • Handle: RePEc:fip:feddwp:99826
    DOI: 10.24149/wp2511
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    1. Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2021. "An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1849-1864, October.
    2. Jarod Coulter & Roberto Duncan & Enrique Martínez-García, 2022. "Flexible Average Inflation Targeting: How Much Is U.S. MonetaryPolicy Changing?," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 45(89), pages 102-149.
    3. Jia, Chengcheng & Wu, Jing Cynthia, 2023. "Average inflation targeting: Time inconsistency and ambiguous communication," Journal of Monetary Economics, Elsevier, vol. 138(C), pages 69-86.
    4. Ben S. Bernanke & Frederic S. Mishkin, 1997. "Inflation Targeting: A New Framework for Monetary Policy?," Journal of Economic Perspectives, American Economic Association, vol. 11(2), pages 97-116, Spring.
    5. Bonomo, Marco & Carvalho, Carlos & Eusepi, Stefano & Perrupato, Marina & Abib, Daniel & Ayres, João & Matos, Silvia, 2024. "Abrupt monetary policy change and unanchoring of inflation expectations," Journal of Monetary Economics, Elsevier, vol. 145(S).
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    Keywords

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    JEL classification:

    • 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
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • 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
    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
    • E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes

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