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Inflation and Growth Risk: Balancing the Scales with Surveys

Author

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  • Jean-Paul Renne
  • Sarah Mouabbi
  • Adrien Tschopp

Abstract

Post-pandemic inflation highlighted tensions between price stability and growth objectives. We evaluate this risk using probabilistic responses from professional forecasters’ surveys. Our dynamic factor model with time-varying uncertainty and asymmetry captures the joint dynamics of inflation and growth and decomposes them into demand and supply components. We find that tail risk is prominent in US data in the 1980s and during the Great Recession for inflation, and during the 1980s and in the period following COVID-19 for GDP growth. The post-pandemic inflation is driven by temporary adverse supply and persistent positive demand. The model-implied correlation between inflation and growth is time-varying, negatively related to nominal term premiums and on average positive, suggesting that professional forecasters do not have stagflationary beliefs. In 2022, stagflation risks increased after three decades of near-zero probabilities.

Suggested Citation

  • Jean-Paul Renne & Sarah Mouabbi & Adrien Tschopp, 2026. "Inflation and Growth Risk: Balancing the Scales with Surveys," Working papers 1036, Banque de France.
  • Handle: RePEc:bfr:banfra:1036
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    References listed on IDEAS

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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
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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