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Professional Forecasters' View of Permanent and Transitory Shocks to GDP

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  • Spencer D. Krane

Abstract

This paper examines how the professional forecasters comprising the Blue Chip Economic Consensus view shocks to GDP. I use an unobserved components model of the forecast revisions to identify forecasters' perceptions of permanent and transitory shocks to GDP. The model indicates forecasters: attribute about two-thirds of the variance in current-period revisions to permanent shocks; view the relative importance of permanent shocks similar to the estimates of some simple univariate econometric models; see high-frequency indicators of economic activity as being informative about both permanent and transitory shocks; and react to incoming data differently during periods of economic weakness. (JEL C51, C53, E23, E27, E32, E37)

Suggested Citation

  • Spencer D. Krane, 2011. "Professional Forecasters' View of Permanent and Transitory Shocks to GDP," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(1), pages 184-211, January.
    • Handle: RePEc:aea:aejmac:v:3:y:2011:i:1:p:184-211
    Note: DOI: 10.1257/mac.3.1.184
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Michael P. Clements, 2022. "Individual forecaster perceptions of the persistence of shocks to GDP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 640-656, April.
    2. Cássio R. A. Alves & Márcio P. Laurini, 2022. "Measuring inflation persistence under time-varying inflation target and stochastic volatility with jumps," Economics Bulletin, AccessEcon, vol. 42(2), pages 342-349.
    3. Monica Jain, 2019. "Perceived Inflation Persistence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(1), pages 110-120, January.
    4. James M. Nason & Gregor W. Smith, 2013. "Reverse Kalman filtering U.S. inflation with sticky professional forecasts," Working Papers 13-34, Federal Reserve Bank of Philadelphia.
    5. Clements, Michael P., 2024. "Do professional forecasters believe in the Phillips curve?," International Journal of Forecasting, Elsevier, vol. 40(3), pages 1238-1254.
    6. James M. Nason & Gregor W. Smith, 2021. "Measuring the slowly evolving trend in US inflation with professional forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(1), pages 1-17, January.
    7. Clements, Michael P., 2024. "Survey expectations and adjustments for multiple testing," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 338-354.
    8. Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 141-194, Elsevier.
    9. Mr. John C Bluedorn & Mr. Daniel Leigh, 2018. "Is the Cycle the Trend? Evidence From the Views of International Forecasters," IMF Working Papers 2018/163, International Monetary Fund.
    10. Mr. John C Bluedorn & Mr. Daniel Leigh, 2019. "Hysteresis in Labor Markets? Evidence from Professional Long-Term Forecasts," IMF Working Papers 2019/114, International Monetary Fund.

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    More about this item

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - 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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