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An econometric analysis of some sectoral indicators of the USSR and Russia's economies in line with historical retrospect

Vol. 13, Iss. 1, JANUARY 2017

PDF  Article PDF Version

Received: 26 July 2016

Received in revised form: 18 August 2016

Accepted: 15 September 2016

Available online: 27 January 2017

Subject Heading: SUSTAINABLE DEVELOPMENT OF ECONOMY

JEL Classification: C10, С12, C65

Pages: 34-47

https://doi.org/10.24891/ni.13.1.34

Davtyan T.B. Dubna International University, Dubna, Moscow Oblast, Russian Federation
tiko.kimry@mail.ru

Pakhomov A.V. Dubna International University, Dubna, Moscow Oblast, Russian Federation
dubna@list.ru

Pakhomova E.A. Dubna International University, Dubna, Moscow Oblast, Russian Federation
uni-dubna@mail.ru

Rozhkova O.V. Dubna International University, Dubna, Moscow Oblast, Russian Federation
olga_r2006@mail.ru

Importance The article examines some sectoral indicators of the economies of the USSR and Russia to evaluate internal and cross-sectoral relations for the period from 1970 through 2012, when the national economy suffered drastic transformation. We also perform a comparative analysis and determine opportunities for the national development in the current circumstances and in line with historical retrospect.
Objectives The research represents a comparative analysis of the way some sectoral indicators developed in the economies of the USSR and Russia, using an econometric framework.
Methods The research draws upon econometric methods, such as correlation and regression analysis, time series framework. To compare the economy of the Soviet and Russian period, we approached to data deflation techniques.
Results The quality of instrumental results requires the gradual process of their attainment. We managed not only to provide an unambiguous correlation of the findings with the proceedings of V.N. Livshits, but also get an insight into the specifics of tools.
Conclusions and Relevance The instrumental analysis of a part of the national economy unfolds the specifics of its development in different historical periods and represents a consistent contemplation on cold historical statistics. The research proves it is necessary to continue the research as it is extensive and comprehensive, and internal and cross-sectoral indicators should be analyzed.

Keywords: sectoral indicators, correlation, regression, analysis, adequate distribution, time series, econometric model

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