An Econometric Model for the Oil Dependence of the Russian Economy

Authors

  • Theodosios Perifanis University of Piraeus
  • Athanasios Dagoumas University of Piraeus

Abstract

There is lot of discussion on the level of the oil dependence of the Russian economy, as well as on whether the Russian Federation presents signs of the Dutch disease or even if already suffers by it. In this paper, we develop econometric models for examining the oil dependence of the Russian economy. We construct two VARs and then we proceed with VECMs models. The models consider macroeconomic factors, such as industrial production index, unemployment, GDP and government expenditure, as well as oil factors, such crude oil price and Russian oil production. We employ impulse response functions to catch the interactions among variables. We find strong evidence on the oil dependence of the Russian economy; however, we do not find firm established proof of the Dutch disease.Keywords: Russia, oil, cointegrationJEL Classifications: Q43, C01, P48

Downloads

Download data is not yet available.

Author Biography

Athanasios Dagoumas, University of Piraeus

Assistant Professor in Energy & Resourse Economics

Downloads

Published

2017-09-30

How to Cite

Perifanis, T., & Dagoumas, A. (2017). An Econometric Model for the Oil Dependence of the Russian Economy. International Journal of Energy Economics and Policy, 7(4), 7–13. Retrieved from https://econjournals.net.tr/index.php/ijeep/article/view/5060

Issue

Vol. 7 No. 4 (2017)

Section

Articles

License

Submission of an article implies that the work described has not been published previously , that it is not under consideration for publication elsewhere, that its publication is approved by all authors and tacitly or explicitly by the responsible authorities where the work was carried out, and that, if accepted, will not be published elsewhere in the same form, without the written consent of the Publisher. The Editors reserve the right to edit or otherwise alter all contributions, but authors will receive proofs for approval before publication.