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Information rigidities in survey data: Evidence from dispersions in forecasts and forecast revisions

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  • Hur, Joonyoung
  • Kim, Insu

Abstract

Predictable forecast errors in survey data documented in the existing literature suggest a deviation from the rational expectations hypothesis and are in favor of imperfect information models such as sticky and noisy information models. This article assesses the validity of the imperfect information models by establishing a linkage between dispersions in survey forecasts and survey forecast revisions. We find that the dynamics of dispersion in survey forecasts are consistent with the prediction of sticky information models, but at odds with that of conventional noisy information models as well as full information rational expectations models, both of which assume agents’ continuous updating of their information sets.

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  • Hur, Joonyoung & Kim, Insu, 2016. "Information rigidities in survey data: Evidence from dispersions in forecasts and forecast revisions," Economics Letters, Elsevier, vol. 142(C), pages 10-14.
    • Handle: RePEc:eee:ecolet:v:142:y:2016:i:c:p:10-14
    DOI: 10.1016/j.econlet.2016.02.021
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    References listed on IDEAS

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    1. Collard, Fabrice & Dellas, Harris & Smets, Frank, 2009. "Imperfect information and the business cycle," Journal of Monetary Economics, Elsevier, vol. 56(S), pages 38-56.
    2. N. Gregory Mankiw & Ricardo Reis & Justin Wolfers, 2004. "Disagreement about Inflation Expectations," NBER Chapters, in: NBER Macroeconomics Annual 2003, Volume 18, pages 209-270, National Bureau of Economic Research, Inc.
    3. Andrade, Philippe & Le Bihan, Hervé, 2013. "Inattentive professional forecasters," Journal of Monetary Economics, Elsevier, vol. 60(8), pages 967-982.
    4. Olivier Coibion & Yuriy Gorodnichenko, 2012. "What Can Survey Forecasts Tell Us about Information Rigidities?," Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 116-159.
    5. N. Gregory Mankiw & Ricardo Reis, 2002. "Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1295-1328.
    6. Lucas, Robert Jr., 1972. "Expectations and the neutrality of money," Journal of Economic Theory, Elsevier, vol. 4(2), pages 103-124, April.
    7. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
    8. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    9. Guido Lorenzoni, 2009. "A Theory of Demand Shocks," American Economic Review, American Economic Association, vol. 99(5), pages 2050-2084, December.
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    Citations

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    Cited by:

    1. Glas, Alexander & Heinisch, Katja, 2021. "Conditional macroeconomic forecasts: Disagreement, revisions and forecast errors," IWH Discussion Papers 7/2021, Halle Institute for Economic Research (IWH).
    2. Glas, Alexander & Heinisch, Katja, 2023. "Conditional macroeconomic survey forecasts: Revisions and errors," Journal of International Money and Finance, Elsevier, vol. 138(C).
    3. Conrad, Christian & Lahiri, Kajal, 2023. "Heterogeneous expectations among professional forecasters," ZEW Discussion Papers 23-062, ZEW - Leibniz Centre for European Economic Research.
    4. Hur, Joonyoung, 2018. "Time-varying information rigidities and fluctuations in professional forecasters' disagreement," Economic Modelling, Elsevier, vol. 75(C), pages 117-131.
    5. Shintani, Mototsugu & Ueda, Kozo, 2023. "Identifying the source of information rigidities in the expectations formation process," Journal of Economic Dynamics and Control, Elsevier, vol. 150(C).
    6. Hur, Joonyoung & Kim, Insu, 2017. "Inattentive agents and disagreement about economic activity," Economic Modelling, Elsevier, vol. 63(C), pages 175-190.
    7. Deschamps, Bruno & Ioannidis, Christos & Ka, Kook, 2020. "High-frequency credit spread information and macroeconomic forecast revision," International Journal of Forecasting, Elsevier, vol. 36(2), pages 358-372.

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    More about this item

    Keywords

    Sticky information; Noisy information; Dispersion in forecasts; Forecast revision;
    All these keywords.

    JEL classification:

    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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