IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/20751.html
   My bibliography  Save this paper

Results of a special questionnaire for participants in the ECB Survey of Professional Forecasters (SPF)

Author

Listed:
  • Meyler, Aidan
  • Rubene, Ieva

Abstract

This document provides a summary of the aggregate results of a special questionnaire which was sent to the participants in the ECB Survey of Professional Forecasters (SPF) in autumn 2008, in the context of the ten-year anniversary of the SPF’s launch in January 1999. In summary, the results show that the SPF responses are quite timely and that the forecasts are based on heterogeneous assumptions that are predominantly generated in house. In addition, although both structural and time series models are widely used, judgement also plays a key role, in particular for the reported probability distributions. It is thus very important to consider the heterogeneity of the SPF forecasts when analysing and interpreting the results of the SPF.

Suggested Citation

  • Meyler, Aidan & Rubene, Ieva, 2009. "Results of a special questionnaire for participants in the ECB Survey of Professional Forecasters (SPF)," MPRA Paper 20751, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:20751
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/20751/1/MPRA_paper_20751.pdf
    File Function: original version
    Download Restriction: no

    Citations

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


    Cited by:

    1. repec:jfr:ijfr11:v:9:y:2018:i:1:p:171-188 is not listed on IDEAS
    2. Magdalena Grothe & Aidan Meyler, 2018. "Inflation Forecasts: Are Market-Based and Survey-Based Measures Informative?," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 9(1), pages 171-188, January.
    3. Maxime Phillot & Rina Rosenblatt-Wisch, 2018. "Inflation Expectations: The Effect of Question Ordering on Forecast Inconsistencies," Working Papers 2018-11, Swiss National Bank.

    More about this item

    Keywords

    SPF; Survey; Forecasts; Expectations; Formation;

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

    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:pra:mprapa:20751. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.