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Modeling structural dynamics in macroeconomic analysis

Modeling structural dynamics in macroeconomic analysis

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Аннотация

This article explores the computing capability of competitive models of structural dynamics in macroeconomics. These models are formalized by systems of ordinary differential equations or their differential analogues with a discretization step of the calculated range of 1 year. Both models represent a dynamic input-output balance. Theoretically, these models are always considered equal when used in the numerical analysis of transients. Two research objectives have been achieved. Firstly, the advantage has been proved for differential equations regarding to the accuracy of the forecast obtained. Secondly, the fundamental limitations of differential analogues are shown in solving many problems concerning sustainability, economic dynamics, economic growth and their management based on the calculating indicators of the own, that is, internal, dynamic properties of the economy as a system. Such properties are calculated for dynamic input-output balances mathematically real-closed by consumption. The discussed models can be applied in macroeconomic analysis either independently or as part of larger computing systems represented by equilibrium or other agent-based models.

Ключевые слова

Modeling, structural dynamics, input-output balance, differential equations, calculation errors, economic growth

Финансирование

The article was prepared with the financial support of the Russian Foundation for Basic Research. Grant № 20-010-00084А "Mathematical modeling of stability and macroeconomic dynamics".

Рекомендуемая ссылка

No items found. Modeling structural dynamics in macroeconomic analysis // Современные технологии управления. ISSN 2226-9339. — #2 (92). Номер статьи: 9221. Дата публикации: 02.08.2020. Режим доступа: https://sovman.ru/en/article/9221/

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Suggested citation

No items found. // Modern Management Technology. ISSN 2226-9339. — #2 (92). Art. #  9221. Date issued: 02.08.2020. Available at: https://sovman.ru/en/article/9221/


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Библиографический список

  1. Transformation of the structure of the economy: mechanisms and management: monograph [Transformatsiya struktury ekonomiki: mekhanizmy i upravleniye: monografiya]/ Under scientific. ed. A.A. Shirov. Moscow: MAKS Press, 2018.
  2. Structural and investment policy in order to ensure economic growth in Russia: monograph [Strukturno-investitsionnaya politika v tselyakh obespecheniya ekonomicheskogo rosta v Rossii: monografiya]/ Under scientific. ed. acad. V.V. Ivanter. – M .: Scientific consultant. – 2017.
  3. Leont’yev V.V. Economic essays. Theory, Research, Facts and Politics [Ekonomicheskiye esse. Teorii, issledovaniya, fakty i politika]. Moscow: Political Literature, 1990.
  4. Suvorov N.V., Treshchina S.V., Balashova Ye.V., Davidkova O.B., Zenkova G.V. The role of the technological factor in the development of the Russian economy: the results of predictive and analytical research [Rol’ tekhnologicheskogo faktora v razvitii rossiyskoy ekonomiki: rezul’taty prognozno-analiticheskikh issledovaniy /]// Scientific works: Institute of National Economic Forecasting RAS. Moscow: MAKS Press, 2015. P. 8–76.
  5. Serebryakov G.R. Experience of building a dynamic intersectoral equilibrium model of the Russian economy [Opyt postroyeniya dinamicheskoy mezhotraslevoy ravnovesnoy modeli rossiyskoy ekonomiki]// Problems of forecasting. 2000, No. 2. P. 3–19.
  6. Savchishina K.Ye. Forecasting the indicators of the fiscal sphere within the framework of the quarterly macroeconomic model QUMMIR. [Prognozirovaniye pokazateley nalogovo-byudzhetnoy sfery v ramkakh kvartal’noy makroekonomicheskoy modeli QUMMIR]// Scientific works: Institute of National Economic Forecasting, RAS. 2008, no. 6. P. 225-241
  7. Makarov V.L., Bakhtizin A.R., Sulakshin S.S. Application of computable models in public administration [Primeneniye vychislimykh modeley v gosudarstvennom upravlenii]. Moscow: Scientific expert, 2007.
  8. Shirov A.A. The role of instrumental methods of analysis and forecasting in substantiating economic policy [Rol’ instrumental’nykh metodov analiza i prognozirovaniya pri obosnovanii ekonomicheskoy politiki]// Problems of forecasting. 2017, No. 2 (161). S. 3-9.
  9. Suslov V.I., Domozhirov D.A., Ibragimov N.M., Kostin V.S., Mel’nikova L.V., Tsyplakov A.A. Agent-based multiregional input-output model of the Russian economy [Agent-oriyentirovannaya mnogoregional’naya model’ «zatraty-vypusk» rossiyskoy ekonomiki]// Economics and Mathematical Methods. 2016.Vol. 52, No. 1. P. 112–131.
  10. Suslov V.I., Novikova T.S., Tsyplakov A.A. Modeling the role of the state in a spatial agent-based model [Modelirovaniye roli gosudarstva v prostranstvennoy agent-oriyentirovannoy modeli]// Economy of the region. 2016.Vol. 12, No. 3, pp. 951–965.
  11. Makarov V.L., Bakhtizin A.R. Social modeling is a new computer breakthrough (agent-based models) [Sotsial’noye modelirovaniye – novyy komp’yuternyy proryv (agent-oriyentirovannyye modeli)]. M .: Economics. 2013.
  12. Izotov D.A. Empirical models of general economic equilibrium [Empiricheskiye modeli obshchego ekonomicheskogo ravnovesiya]// Spatial Economics. 2014. No. 3. P. 138–167.
  13. Makarov V.L., Bakhtizin A.R., Sulakshin S.S. Application of computable models in public administration [Primeneniye vychislimykh modeley v gosudarstvennom upravlenii]. M .: Scientific expert, 2007.
  14. Grassini M.Problems of using computable general equilibrium models for forecasting economic dynamics [Problemy primeneniya vychislimykh modeley obshchego ravnovesiya dlya prognozirovaniya ekonomicheskoy dinamiki]// Problems of forecasting. 2009. No. 2. P. 30–47.
  15. Yel’shin L.A. Methodological approaches to forecasting industrial development based on the construction of expectations of economic agents [Metodicheskiye podkhody k prognozirovaniyu promyshlennogo razvitiya na osnove postroyeniya ozhidaniy ekonomicheskikh agentov]// Economic analysis: theory and practice. 2017. Vol. 16, issue 11, pp. 2028–2042.
  16. Wang K., Wang C., Chen J. Analysis of the Economic Impact of Different Chi¬nese Climate Policy Options Based on a CGE Model Incorporating Endogenous Tech¬nological Change // Energy Policy. 2009. Vol. 37. No. 8. Pp. 2930-2940. DOI: 10.1016 / j. enpol. 2009.03.023.
  17. Lyubushin N.P., Babicheva N.E., Usachev D.G., Shustova M.N. Genesis of the concept of “sustainable development of economic systems of various hierarchical levels” [Genezis ponyatiya «ustoychivoye razvitiye ekonomicheskikh sistem razlichnykh iyerarkhicheskikh urovney»]// Regional economy: theory and practice. 2015. No. 48, pp. 2–14.
  18. Toroptsev Ye.L., Marakhovskiy A.S., Duzhinski R.R. The problem of digitizing the dynamic model of the input-output balance [Problema otsifrovki dinamicheskoy modeli mezhotraslevogo balansa]// Economic analysis: theory and practice. – 2020. – T. 19, No. 5. – P. 946 – 972. https://doi.org/10.24891ea.19.5.946

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