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Over-reaction in Macroeconomic Expectations

Author

Listed:
  • Pedro Bordalo
  • Nicola Gennaioli
  • Yueran Ma
  • Andrei Shleifer
Abstract
We study the rationality of individual and consensus professional forecasts of macroeconomic and financial variables using the methodology of Coibion and Gorodnichenko (2015), which examines predictability of forecast errors from forecast revisions. We report two key findings: forecasters typically over-react to their individual news, while consensus forecasts under-react to average forecaster news. To reconcile these findings, we combine the diagnostic expectations model of belief formation from Bordalo, Gennaioli, and Shleifer (2018) with Woodford’s (2003) noisy information model of belief dispersion. The forward looking nature of diagnostic expectations yields additional implications, which we also test and confirm. A structural estimation exercise indicates that our model captures important variation in the data, yielding a value for the belief distortion parameter similar to estimates obtained in other settings

Suggested Citation

  • Pedro Bordalo & Nicola Gennaioli & Yueran Ma & Andrei Shleifer, 2018. "Over-reaction in Macroeconomic Expectations," NBER Working Papers 24932, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:24932
    Note: AP EFG
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    JEL classification:

    • E03 - Macroeconomics and Monetary Economics - - General - - - Behavioral Macroeconomics
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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