Modeling macrodynamics of a Russian economic region
https://doi.org/10.21202/1993-047X.13.2019.3.1273-1286
EDN: QKLLUT
Abstract
Objective: to build a model of economic dynamics of the Russian regions.Methods: economic and mathematical modeling, methods of applied statistics and econometrics, general scientific methods of analysis and synthesis.Results: the main approaches to the construction of applied macroeconomic models are studied, their shortcomings are determined. A macroeconomic model of the Russian economy is developed on the basis of three sectors: export-oriented, internally-oriented, and natural monopolies. Based on the constructed non-equilibrium structural model of the Russian economy, the key macroeconomic factors determining the economic dynamics of a region were selected. The developed model was projected to the regional level, taking into account the economic type of the regions and their clustering. Based on the information obtained from the analytical model, co-integration vectors for subsidized and agricultural regions, industrialized regions with a focus on production and processing, as well as the regions with a predominantly developed service sector, were estimated.Scientific novelty: the possibility of adaptation of the disaggregated macroeconomic model of Russia to the macroeconomic analysis of regions is investigated; the vectors of co-integration for the corresponding indicators are estimated. A technique of the Russian regions classification by the area of economic activity and the clusters’ dynamic stability analysis is proposed. Practical significance: the approach is of interest as a tool for quantitative analysis of the economic dynamics of the Russian regions, for developing scenarios and assessing the quality of growth.
About the Authors
A. N. Bereznyatskiy
Federal State Research Establishment “Central Institute for Economics and Mathematics of the Russian Academy of Sciences”
Russian Federation
Russian Federation
B. E. Brodskiy
Federal State Research Establishment “Central Institute for Economics and Mathematics of the Russian Academy of Sciences”
Russian Federation
Russian Federation
References
1. Айвазян С. А., Березняцкий А. Н., Бродский Б. Е. Макроэкономическое моделирование российской экономики // Прикладная эконометрика. 2017. Т. 47. С. 5-27.
2. Айвазян С. А., Березняцкий А. Н., Бродский Б. Е. Моделирование социально-экономической динамики российского федерального округа // Электронный научный журнал «Вестник ЦЭМИ РАН». 2018. Т. 4. С. 1-14. DOI: 10.33276/S0000186-7-1
3. Айвазян С. А., Березняцкий А. Н., Бродский Б. Е. Неравновесные структурные модели реального сектора российской экономики // Экономика и математические методы. 2019. Т. 55 (2). С. 88-103.
4. Smets F., Wouters R. An Estimated Dynamic General Equilibrium Model of the Euro Area // Journal of the European Economic Association. 2003. Vol. 1 (5). Рp. 1123-1175.
5. Sims C. Money, Income, and Causality // The American Economic Review. 1972. Vol. 62 (4). Рp. 540-552.
6. Sims C. Macroeconomics and Reality // Econometrica. 1980. Vol. 48 (1). Рp. 1-48.
7. Fair R. C. Estimating How the Macroeconomy Works. Cambridge: Harvard University Press, 2004.
8. Heim J. An Econometric Model of the US Economy. London: Palgrave-MacMillan, 2017.
9. Cooley T. Calibrated Models // Oxford Review of Economic Policy. 1997. Vol. 13 (3). Pp. 55-69.
10. Fernandez-Villaverde J. The Econometrics of DSGE Models. Journal of the Spanish Economic Association. 2010. Vol. 1. Рp. 3-49.
11. Solow R. M. Testimony Presented to U.S. House of Representatives. Science and Technology Committee Hearing Entitled “Building a Science of Economics for the Real World”. 2010. Serial № 111-106, July 20
12. Beyond DGSE Models. Toward an Empirically Based Macroeconomics / D. Colander, P. Howitt, A. Kirman, A. Leijonhufved, P. Mehrling // American Economic Review. Papers and Proceedings. 2008. Vol. 98, Pp. 236-240.
13. Edge R., Gurkaynak R. How Useful are Estimated DSGE Model Forecasts for Central Banks? Brookings Papers on Economic Activity, Fall 2010 (2011).
14. Mankiw N. G. The Macroeconomist as Scientist and Engineer // Journal of Economic Perspectives. 2006. Vol. 20 (4). Pp. 29-46.
15. Fair R. C. Evaluating Inflation Targeting Using a Macroeconomic Model, Economics // The Open Access Journal. 2007-2008. Vol. 1, Pp. 48-52.
16. Айвазян С. А., Афанасьев М. Ю., Кудров А. В. Метод кластеризации регионов РФ с учетом отраслевой структуры ВРП // Прикладная эконометрика. Т. 41. 2016. С. 24-46.
Review
For citations:
Bereznyatskiy A.N., Brodskiy B.E. Modeling macrodynamics of a Russian economic region. Actual Problems of Economics and Law. 2019;13(3):1273-1286. (In Russ.) https://doi.org/10.21202/1993-047X.13.2019.3.1273-1286. EDN: QKLLUT
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