IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0127.html
   My bibliography  Save this article

An Econometric Macroeconomic Model for Analysis and Forecasting of Key Indicators of the Belarusian Economy

Author

Listed:
  • Kravtsov, Mikhail
  • Burdyka, Mikalai
  • Haspadarets, Burdyka
  • Shynkevich, Natallia
  • Kartun, Andrei

Abstract

Results of econometric modeling of the Belarusian economy are presented in the article. The methodology of building macromodel for analysis and forecasting of main indicators is described. Estimations of the effects of a rise in oil and gas prices on the key economic indicators are given. The consequences of different scenarios of development of Belarusian economy in 2008 are obtained by simulation

Suggested Citation

  • Kravtsov, Mikhail & Burdyka, Mikalai & Haspadarets, Burdyka & Shynkevich, Natallia & Kartun, Andrei, 2008. "An Econometric Macroeconomic Model for Analysis and Forecasting of Key Indicators of the Belarusian Economy," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 10(2), pages 21-43.
  • Handle: RePEc:ris:apltrx:0127
    as

    Download full text from publisher

    File URL: http://pe.cemi.rssi.ru/pe_2008_2_21-43.pdf
    File Function: Full text
    Download Restriction: no

    References listed on IDEAS

    as
    1. Neil R. Ericsson, 1998. "Empirical modeling of money demand," Empirical Economics, Springer, vol. 23(3), pages 295-315.
    2. Charemza, Wojciech & Makarova , Svetlana & Kharin, Yuriy & Malugin, Vladimir & Huryn , Aliaksandr & Raskina, Julia, 2006. "On Building Economic Development Patterns for Russia and Belorussia on the Basis of LAM-3 Econometric Model," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 2(2), pages 124-139.
    3. Aivazian, Sergei & Brodsky, Boris, 2006. "Macroeconometric modeling: modern trends, problems, an example of the econometric model of the Russian economy," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 2(2), pages 85-111.
    4. Brodsky, Boris, 2006. "The Influence of the Ruble Real Exchange Rate on the Russian Economy," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 4(4), pages 90-104.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    econometric modeling; macromodel; oil and gas prices;

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    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:ris:apltrx:0127. 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: (Anatoly Peresetsky). General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.