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Разрыв Выпуска В Российской Экономике: Оценка На Основе Многомерного Фильтра Мвф

Author

Listed:
  • Artur R. Sharafutdinov

    (Russian Presidential Academy of National Economy and Public Administration; Monetary Policy Department, Bank of Russia)

Abstract

В работе оценивается квартальная динамика разрыва выпуска в российской экономике с помощью простого многомерного фильтра МВФ на основе данных по ВВП, инфляции и безработице с учетом кривой Филлипса, описывающей влияние разрыва выпуска на инфляционный процесс, и закона Оукена, описывающего взаимосвязь разрыва безработицы и разрыва выпуска. Полученная оценка за первые три квартала 2022 г. оказалась выше на 2 п.п., чем аналогичный показатель, оцененный с помощью одномерного статистического фильтра Ходрика-Прескотта (Hodrick-Prescott, HP-фильтр), и в третьем квартале 2022 г. составила -0,4%, что частично объясняется отрицательным разрывом безработицы в этот период (-1,1%) и является особенностью нынешней перестройки в отличие от кризисов 2008–2009, 2015 и 2020 гг. Статья подготовлена в рамках стипендиальной программы аспирантов и выполнения научно-исследовательской работы государственного задания РАНХиГС при Президенте Российской Федерации.

Suggested Citation

  • Artur R. Sharafutdinov, 2023. "Разрыв Выпуска В Российской Экономике: Оценка На Основе Многомерного Фильтра Мвф," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 4, pages 15-23, April.
    • Handle: RePEc:gai:ruserr:r2327
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    References listed on IDEAS

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    1. E. A. Orlova & D. R. Belousov & D. I. Galimov, 2020. "A Model of Potential GDP and Output Gap for the Russian Economy," Studies on Russian Economic Development, Springer, vol. 31(2), pages 171-180, March.
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    Keywords

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    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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