Please use this identifier to cite or link to this item: http://elar.rsvpu.ru/handle/123456789/15200
Title: Econometric models for forecasting of macroeconomic indices
Authors: Sukhanova, E. I.
Shirnaeva, S. Y.
Mokronosov, A. G.
Issue Date: 2016
Publisher: IJESE
Abstract: The urgency of the research topic was stipulated by the necessity to carry out an effective controlled process by the economic system which can hardly be imagined without indices forecasting characteristic of this system. An econometric model is a safe tool of forecasting which makes it possible to take into consideration the trend of indices development in the past and their cause and effect interrelations. The aim of the article is to build econometric models for macroeconomic indices forecasting, reflecting Russia’s economy stabilization processes. In the process of research econometric modeling methods were used which allow to build, estimate and control the quality of various econometric models. In the given research the following models were built and analyzed: autoregressive integrated moving average model, vector auto-regression model, simultaneous equations system; the comparison of forecast possibilities and forecast accuracy of models built; forecast values of considered macroeconomic indices for the next periods were received. As to the results of study some preference can be given to forecasting on the basis of autoregressive models. The materials of the article can be quite useful for researchers, dealing with problems of modeling and economic processes forecasting, both in their scientific and practical activity. © 2016 Sukhanova, Shirnaeva and Mokronosov.
Keywords: AUTOREGRESSIVE INTEGRATED MOVING AVERAGE MODEL
FORECASTING
MACROECONOMIC INDICES
SIMULTANEOUS EQUATIONS SYSTEM
VECTOR AUTO-REGRESSION MODEL
ISSN: 1306-3065
SCOPUS: 2-s2.0-84994189366
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS

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