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Неравновесные Структурные Модели Реального Сектора Российской Экономики

Author

Listed:
  • Айвазян С.А.
  • Березняцкий А.Н.*
  • Бродский Б.Е.**

Abstract

ЦЭМИ РАН, Москва * E-mail: artandtech@yandex.ru ** E-mail: bbrodsky@yandex.ru Исследование выполнено при финансовой поддержке Российского научного фонда (проект 17-18-01080). Аннотация. Цель данной статьи - описать перспективы развития российской экономики в среднесрочном сценарии, когда возможны изменения движущих сил экономического роста. Как и за счет каких факторов экономика России будет выходить из мирового экономического кризиса 2018-2019 гг., какими могут быть ориентиры экономической политики в этих условиях В работе построена макроэкономическая модель, основанная на идеях структурного моделирования и позволяющая описывать неравновесные режимы функционирования российской экономики при различных сценариях развития. По сути модель дезагрегирует сферу материального производства в России на сектора: экспорт-ориентированный сектор (ЭОС), внутренне-ориентированный сектор (ВОС), сектор естественных монополий (СЕМ). Взаимосвязи между этими секторами отражены в финальной форме модели: система из двух разностных уравнений моделирует динамику выпуска в ЭОС и ВОС. С учетом макроэкономических факторов, выделенных на стадии теоретического анализа, строится макроэконометрическая модель, позволяющая получить оценки ценовых показателей и индексов производства в важнейших отраслях реального сектора. Новизна предложенного подхода к прикладному макроэкономическому моделированию российской экономики состоит в: 1) учете структурных особенностей российской экономики; 2) методологии моделирования, позволяющей учесть нестационарные переходные процессы в экономике России. Теперь можно будет перейти к эконометрическому моделированию нестационарной динамики ключевых макропеременных российской экономики. При эконометрическом моделировании использована процедура коинтеграционного анализа Энгла-Грейнжера.

Suggested Citation

  • Айвазян С.А. & Березняцкий А.Н.* & Бродский Б.Е.**, 2019. "Неравновесные Структурные Модели Реального Сектора Российской Экономики," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 55(2), pages 65-80, апрель.
    • Handle: RePEc:scn:cememm:v:55:y:2019:i:2:p:65-80
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    References listed on IDEAS

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    1. N. G. Mankiw, 2009. "The Macroeconomist as Scientist and Engineer," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 5.
    2. John J. Heim, 2017. "An Econometric Model of the US Economy," Springer Books, Springer, number 978-3-319-50681-4, June.
    3. Aivazian, Sergei & Bereznyatsky, Aleksandr & Brodsky, Boris, 2017. "Macroeconomic modeling of the Russian economy," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 47, pages 5-27.
    4. Jesús Fernández-Villaverde, 2010. "The econometrics of DSGE models," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 1(1), pages 3-49, March.
    5. Fair, Ray C., 2007. "Evaluating Inflation Targeting Using a Macroeconometric Model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 1, pages 1-52.
    6. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    7. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119, Decembrie.
    8. Ray Fair, 2006. "Evaluating Inflation Targeting Using a Macroeconometric Model," Yale School of Management Working Papers amz2483, Yale School of Management, revised 01 Aug 2007.
    9. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    Full references (including those not matched with items on IDEAS)

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