Skip to main content
Log in

The use of regression models to forecast passenger air travel indices

  • Industries and Interindustry Complexes
  • Published:
Studies on Russian Economic Development Aims and scope

Abstract

The matters of developing passenger carriers for air transport are touched on in the article, and indices for the last 15 years have been analyzed. Regression models have been used to forecast the indices of the passenger air travels. The obtained results prove a fairly high approximation in the dependence between the GDP per capita and indices of the carrying operation of the passenger air transport.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. M. Sokolov, “We focus on the moderately optimistic outlook,” Inf. Agentstvo Ross. TASS, Feb. 25 (2015).

    Google Scholar 

  2. Russian Statistical Yearbook (Rosstat, Moscow, 2014) [in Russian].

  3. Grazhdanskaya Aviats, No. 1 (2015).

  4. Federal Air Transport Agency. http://www.favt.ru.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yu. A. Shcherbanin.

Additional information

Original Russian Text © Yu.A. Shcherbanin, 2016.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shcherbanin, Y.A. The use of regression models to forecast passenger air travel indices. Stud. Russ. Econ. Dev. 27, 269–275 (2016). https://doi.org/10.1134/S107570071603014X

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S107570071603014X

Keywords

Navigation