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Soft Landing or Stagflation? A Framework for Estimating the Probabilities of Macro Scenarios

Eric Engstrom

No 2025-047, Finance and Economics Discussion Series from Board of Governors of the Federal Reserve System (U.S.)

Abstract: Amid ongoing trade policy shifts and geopolitical uncertainty, concerns about stagflation have reemerged as a key macroeconomic risk. This paper develops a probabilistic framework to estimate the likelihood of stagflation versus soft landing scenarios over a four-quarter horizon. Building on Bekaert, Engstrom, and Ermolov (2025), the model integrates survey forecasts, structural shock decomposition, and a non-Gaussian BEGE-GARCH approach to capture time-varying volatility and skewness. Results suggest that the probability of stagflation was elevated at around 30 percent in late 2022, while the chance of a soft landing was below 5 percent. As inflation moderated and growth remained strong through 2024, these probabilities reversed. However, by mid-2025, renewed tariff concerns drove stagflation risk back up and the probability of a soft landing lower. These shifts highlight the potential value of distributional forecasting for policymakers and market participants navigating uncertain macroeconomic conditions.

Keywords: GARCH; Inflation; Recession; Soft landing; Stagflation; Time-varying uncertainty (search for similar items in EconPapers)
JEL-codes: E31 E32 E37 E60 (search for similar items in EconPapers)
Pages: 33 p.
Date: 2025-07-07
New Economics Papers: this item is included in nep-ets
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Persistent link: https://EconPapers.repec.org/RePEc:fip:fedgfe:2025-47

DOI: 10.17016/FEDS.2025.047

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