IDEAS home Printed from https://ideas.repec.org/p/kof/wpskof/12-306.html
   My bibliography  Save this paper

Assessing Forecasting Performance of Business Tendency Surveys during the Great Recession

Author

Listed:
  • Boriss Siliverstovs
  • Sergey Smirnov
  • Sergey Tsukhlo

Abstract

This study investigates usefulness of business tendency surveys in industrial sector for out-of- sample prediction of growth of industrial production in Russia. A special attention is paid to performance of survey-augmented models during the recent Great Recession 2008/2009. Using the real-time data vintages of the index of industrial production in Russia we conclude that the use of surveys positively contributes to boosting forecast accuracy of industrial production compared with forecasts based on a benchmark univariate autoregressive model.

Suggested Citation

  • Boriss Siliverstovs & Sergey Smirnov & Sergey Tsukhlo, 2012. "Assessing Forecasting Performance of Business Tendency Surveys during the Great Recession," KOF Working papers 12-306, KOF Swiss Economic Institute, ETH Zurich.
    • Handle: RePEc:kof:wpskof:12-306
    DOI: 10.3929/ethz-a-007328340
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.3929/ethz-a-007328340
    Download Restriction: no
    File URL: https://libkey.io/10.3929/ethz-a-007328340?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:kof:wpskof:12-306. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/koethch.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.