IDEAS home Printed from
   My bibliography  Save this article

Econometric analysis of the demand for the incoming tourism in Russia


  • Bednova, Maria

    () (company TNS)

  • Ratnikova, Tatiana

    () (State Research University – High School of Economics, Russia)


In this work the demand for the incoming tourism in the Russian Federation is modeling. The panel data for 16 countries — the basic sources of tourist streams — and the period with 2000 for 2009 are used. Modeling is spent separately for each of 10 tourist zones of Russia. In quality a determinant of demand there are considered a total national product in a country of origin, the exchange rate, transport charges, cost of residing, lag of the demand variable and the dummy variables reflecting influence of shocks in quality a determinants of demand. The received estimations of dynamic models of demand correspond to expectations, are statistically significant and can be useful in practice of planning of development of entrance tourism in various municipal formations and regions of Russia.

Suggested Citation

  • Bednova, Maria & Ratnikova, Tatiana, 2011. "Econometric analysis of the demand for the incoming tourism in Russia," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 21(1), pages 97-113.
  • Handle: RePEc:ris:apltrx:0013

    Download full text from publisher

    File URL:
    File Function: Full text
    Download Restriction: no

    More about this item


    demand for incoming tourism; tourist zones; tourist streams; dynamic model; panel data;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources


    Access and download statistics


    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:0013. 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: .

    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.