Vestnik of Astrakhan State Technical University. Series: Management, Computer Sciences and Informatics
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Vestnik of Astrakhan State Technical University. Series: Management, Computer Sciences and Informatics, 2012, Number 1, Pages 179–185 (Mi vagtu51)  

SOCIAL AND ECONOMIC SYSTEMS MANAGEMENT

Theoretical aspects of modeling and forecasting of the regional economic dynamics based on a limited array of statistical data

A. V. Koshkarov

Astrakhan State Technical University
References:
Abstract: The efficiency of management and planning in the regions depends on the application of models of socio-economic dynamics as a tool for decision making. Their application is especially approved when there is no statistical data necessary for modeling and forecasting of processes of economic dynamics in the region, or when the statistics is distorted. It is recommended to use forecasting rules worked out by N. D. Kondratiev, the principles of system dynamics by J. Forrester, a method of simulation for modeling and forecasting in the case of a limited array of statistics. The paper offers the structure of the corresponding forecasting model.
Keywords: economic dynamics, forecasting of economic dynamics, regional socio-economic dynamics, regional economics, modeling.
Received: 08.11.2011
Revised: 12.12.2011
Document Type: Article
UDC: 332.144
Language: Russian
Citation: A. V. Koshkarov, “Theoretical aspects of modeling and forecasting of the regional economic dynamics based on a limited array of statistical data”, Vestn. Astrakhan State Technical Univ. Ser. Management, Computer Sciences and Informatics, 2012, no. 1, 179–185
Citation in format AMSBIB
\Bibitem{Kos12}
\by A.~V.~Koshkarov
\paper Theoretical aspects of modeling and forecasting of the regional economic dynamics based on a limited array of statistical data
\jour Vestn. Astrakhan State Technical Univ. Ser. Management, Computer Sciences and Informatics
\yr 2012
\issue 1
\pages 179--185
\mathnet{http://mi.mathnet.ru/vagtu51}
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    Вестник Астраханского государственного технического университета. Серия: Управление, вычислительная техника и информатика
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