IDEAS home Printed from https://ideas.repec.org/p/nse/doctra/g2006-12.html
   My bibliography  Save this paper

Balance of opinion What about missing the weights?

Author

Listed:
  • O. BIAU

    (Insee)

  • N. FERRARI

    (Insee)

Abstract

Due to their early release, Business Tendency Surveys (BTS) are widely used in short term forecasting. Their questions are mainly qualitative; answers are most often used to calculate balances of opinions, which are defined as the difference between the proportions of positive answers with respect to the negative ones. These indicators are then used by forecasters as explanatory variables in econometric models. The balances of opinions are generally weighted with the firm size. However, there is no theoretical evidence of the efficiency of this kind of weighting. We propose here a model which aims at determining optimum weights; these weights should allow us to optimize the forecast of the macroeconomic variable. According to our analysis, the weights have to grow less than proportionally with the firm size. This conclusion is empirically tested through several examples derived from the French Industry BTS.

Suggested Citation

  • O. Biau & N. Ferrari, 2006. "Balance of opinion What about missing the weights?," Documents de Travail de l'Insee - INSEE Working Papers g2006-12, Institut National de la Statistique et des Etudes Economiques.
  • Handle: RePEc:nse:doctra:g2006-12
    as

    Download full text from publisher

    File URL: https://www.bnsp.insee.fr/ark:/12148/bc6p06zqx10/f1.pdf
    File Function: Document de travail de la DESE numéro G2006-12
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Business Tendency Surveys; quantification; balance of opinion; short-term forecasting;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications

    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:nse:doctra:g2006-12. 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: INSEE (email available below). General contact details of provider: https://edirc.repec.org/data/inseefr.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.