Econometric Evaluation of Spatial Effects in Major Macroeconomic Indicators in Russia
Student: Afanas`eva Anna
Supervisor: Olga Demidova
Faculty: School of Statistics, Data Analysis and Demography
Educational Programme: Bachelor
Year of Graduation: 2014
In this paper we attempt to show that traditional statistical and econometric methods are insolvent when the objects of analysis are the regions. It occurs because regions influence each other, they are interdependent. For example, regions with high rate of unemployment are likely situated nearby with those in which the level of unemployment is also quite high.
Therefore, methods of spatial econometrics give better results since they take into account the extent to which different regions influence each other. To prove this fact the current paper analyzes data on 77 Russian regions for the period from 2000 to 2012. The level of unemployment in the Russian regions was investigated by means of different spatial econometric models for cross-sectional and panel data.
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.