IDEAS home Printed from https://ideas.repec.org/a/gai/rpaper/rpaper-2003-64p-1572.html

Analysis of the predictive capabilities of structural models and models incorporating survey data from businesses

Author

Listed:
  • V. Nosko

    (Gaidar Institute for Economic Policy)

  • A. Buzaev

    (Gaidar Institute for Economic Policy)

  • Pavel Kadochnikov

    (Gaidar Institute for Economic Policy)

  • S. Ponomarehko

    (Gaidar Institute for Economic Policy)

Abstract

This paper continues the IEP’s research on the analysis of the properties of macroeconomic

Suggested Citation

  • V. Nosko & A. Buzaev & Pavel Kadochnikov & S. Ponomarehko, 2003. "Analysis of the predictive capabilities of structural models and models incorporating survey data from businesses," Research Paper Series, Gaidar Institute for Economic Policy, issue 64P, pages 200-200.
    • Handle: RePEc:gai:rpaper:rpaper-2003-64p-1572
    as

    Download full text from publisher

    File URL: https://www.iep.ru/files/RePEc/gai/rpaper/rpaper-2003-64P-1572.pdf
    File Function: Revised Version, 2026
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

    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:gai:rpaper:rpaper-2003-64p-1572. 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: Aleksei Astakhov (email available below). General contact details of provider: https://edirc.repec.org/data/gaidaru.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.