IDEAS home Printed from https://ideas.repec.org/p/rdg/icmadp/icma-dp2020-02.html

Individual Forecaster Perceptions of the Persistence of Shocks to GDP

Author

Listed:
  • Michael P. Clements

    (ICMA Centre, Henley Business School, University of Reading)

Abstract

We analyze individual professional forecasters' beliefs concerning the persistence of GDP shocks. Despite substantial apparent heterogeneity in perceptions, with around one half of the sample of professional forecasters believing shocks do not have permanent effects, we show that these apparent differences may be largely due to short-samples and survey respondents being active at different times. When we control for these effects, using a bootstrap, we formally do not reject the null that individuals' long-horizon expectations are interchangeable at a given point in time. When we apply the same bootstrap approach to their medium-term expectations, we do reject the null. We explore this difference between long and medium-horizon forecasts by decomposing revisions in forecasts into permanent and transitory components.

Suggested Citation

  • Michael P. Clements, 2020. "Individual Forecaster Perceptions of the Persistence of Shocks to GDP," ICMA Centre Discussion Papers in Finance icma-dp2020-02, Henley Business School, University of Reading.
  • Handle: RePEc:rdg:icmadp:icma-dp2020-02
    as

    Download full text from publisher

    File URL: https://assets.henley.ac.uk/defaultUploads/ICM-2020-02-Clements.pdf?mtime=20200207144739&_ga=2.169353250.2084745961.1581073595-1539690275.1507819089
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jonas Dovern & Alexander Glas & Geoff Kenny, 2024. "Testing for differences in survey‐based density expectations: A compositional data approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(6), pages 1104-1122, September.
    2. Clements, Michael P., 2024. "Do professional forecasters believe in the Phillips curve?," International Journal of Forecasting, Elsevier, vol. 40(3), pages 1238-1254.
    3. Clements, Michael P., 2024. "Survey expectations and adjustments for multiple testing," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 338-354.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rdg:icmadp:icma-dp2020-02. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marie Pearson (email available below). General contact details of provider: https://edirc.repec.org/data/bsrdguk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.