• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

A Spatial Econometric Approach to Modelling Russian Regional Economic Growth

Student: Oiner Anna konstantsiia

Supervisor: Olga Demidova

Faculty: Faculty of Economic Sciences

Educational Programme: Economics (Bachelor)

Year of Graduation: 2018

This paper investigates the determinants of economic growth of the Russian regions over the period of 2004-2015. The empirical modelling we chose aims to account for spatial correlation under model uncertainty. Thus models in our study include a spatial lag while explanatory variables are selected using Bayesian model averaging. The application of this methodology is new for the Russian regional data on economic growth during the period of 2004-2015. Therefore, our study fills an important gap in the existing literature on regional economics. This kind of thorough study of economic growth is crucial when shaping the regional policy that ensures stable and geographically balanced growth. The results indicate that economic growth in the Russian regions is mainly influenced by investment, trade, the structure of economy and risk level.

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses