Analysis of the dynamics and trends of the Voronezh region GRP changes on the basis of the first order autoregressive model

The article considers the possibilities of using the first-order autoregressive model for analyzing the dynamics and forecasting of the main indicator of the level of development of the regional economy - gross regional product (GRP). The influence of the investment factor is described, the existing...

Full description

Bibliographic Details
Main Author: N. V. Slinkova
Format: Article
Language:Russian
Published: Voronezh state university of engineering technologies 2018-12-01
Series:Vestnik Voronežskogo Gosudarstvennogo Universiteta Inženernyh Tehnologij
Subjects:
Online Access:https://www.vestnik-vsuet.ru/vguit/article/view/1895
id doaj-13a2fb793fdf4573879317681e3fd98f
record_format Article
spelling doaj-13a2fb793fdf4573879317681e3fd98f2021-07-29T08:05:12ZrusVoronezh state university of engineering technologies Vestnik Voronežskogo Gosudarstvennogo Universiteta Inženernyh Tehnologij2226-910X2310-12022018-12-0180338238510.20914/2310-1202-2018-3-382-3851479Analysis of the dynamics and trends of the Voronezh region GRP changes on the basis of the first order autoregressive modelN. V. Slinkova0Voronezh branch Of the Russian University of Economics named after G.V. PlekhanovThe article considers the possibilities of using the first-order autoregressive model for analyzing the dynamics and forecasting of the main indicator of the level of development of the regional economy - gross regional product (GRP). The influence of the investment factor is described, the existing approaches to this problem are considered on the example of several publications of recent years. The specifics of the mutual influence of the gross regional product and investment volumes are analyzed, the importance of the long-term impact of investments on the dynamics of the region's economic indicators is noted. The properties of autoregressive models are described, the possibilities of using the first-order autoregressive model for analyzing the dynamics and forecasting of the gross regional product of the Voronezh region are considered, taking into account the factor of investment in fixed assets. Based on the statistical data for 2000-2016. autoregression models are constructed using the instrumental variables method to overcome the multicollinearity inherent in such models. Various approaches to constructing an autoregressive model are analyzed, and conclusions are drawn about the quality of the models obtained. The proposed model of autoregression is characterized by high quality and adequacy indicators, with its help a point and interval GRP is compiled. On the basis of the obtained model, the values of short-term and long-term investment multipliers are determined. The received values of multipliers once again confirm the importance of investment policy for the regional economy and allow quantifying the effect of invested funds. The use of this model can be useful both within the descriptive and normative approach in modeling the regional economy.https://www.vestnik-vsuet.ru/vguit/article/view/1895gross regional product, investment activity, investments, regression models, correlative and regression analysis, autoregression, first order autoregressive model, dynamics analysis, forecasting
collection DOAJ
language Russian
format Article
sources DOAJ
author N. V. Slinkova
spellingShingle N. V. Slinkova
Analysis of the dynamics and trends of the Voronezh region GRP changes on the basis of the first order autoregressive model
Vestnik Voronežskogo Gosudarstvennogo Universiteta Inženernyh Tehnologij
gross regional product, investment activity, investments, regression models, correlative and regression analysis, autoregression, first order autoregressive model, dynamics analysis, forecasting
author_facet N. V. Slinkova
author_sort N. V. Slinkova
title Analysis of the dynamics and trends of the Voronezh region GRP changes on the basis of the first order autoregressive model
title_short Analysis of the dynamics and trends of the Voronezh region GRP changes on the basis of the first order autoregressive model
title_full Analysis of the dynamics and trends of the Voronezh region GRP changes on the basis of the first order autoregressive model
title_fullStr Analysis of the dynamics and trends of the Voronezh region GRP changes on the basis of the first order autoregressive model
title_full_unstemmed Analysis of the dynamics and trends of the Voronezh region GRP changes on the basis of the first order autoregressive model
title_sort analysis of the dynamics and trends of the voronezh region grp changes on the basis of the first order autoregressive model
publisher Voronezh state university of engineering technologies
series Vestnik Voronežskogo Gosudarstvennogo Universiteta Inženernyh Tehnologij
issn 2226-910X
2310-1202
publishDate 2018-12-01
description The article considers the possibilities of using the first-order autoregressive model for analyzing the dynamics and forecasting of the main indicator of the level of development of the regional economy - gross regional product (GRP). The influence of the investment factor is described, the existing approaches to this problem are considered on the example of several publications of recent years. The specifics of the mutual influence of the gross regional product and investment volumes are analyzed, the importance of the long-term impact of investments on the dynamics of the region's economic indicators is noted. The properties of autoregressive models are described, the possibilities of using the first-order autoregressive model for analyzing the dynamics and forecasting of the gross regional product of the Voronezh region are considered, taking into account the factor of investment in fixed assets. Based on the statistical data for 2000-2016. autoregression models are constructed using the instrumental variables method to overcome the multicollinearity inherent in such models. Various approaches to constructing an autoregressive model are analyzed, and conclusions are drawn about the quality of the models obtained. The proposed model of autoregression is characterized by high quality and adequacy indicators, with its help a point and interval GRP is compiled. On the basis of the obtained model, the values of short-term and long-term investment multipliers are determined. The received values of multipliers once again confirm the importance of investment policy for the regional economy and allow quantifying the effect of invested funds. The use of this model can be useful both within the descriptive and normative approach in modeling the regional economy.
topic gross regional product, investment activity, investments, regression models, correlative and regression analysis, autoregression, first order autoregressive model, dynamics analysis, forecasting
url https://www.vestnik-vsuet.ru/vguit/article/view/1895
work_keys_str_mv AT nvslinkova analysisofthedynamicsandtrendsofthevoronezhregiongrpchangesonthebasisofthefirstorderautoregressivemodel
_version_ 1721258176530087936