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Analysis Of Interconnection Of The Indicator Of Economic Attitude And Growth
[Анализ Взаимосвязи Показателя Экономического Отношения И Роста]

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  • Luysmila Kitrar, Tamara Lipkind

    (The Russian Presidential Academy of National Economy and Public Administration)

Abstract

The article analyzes the relationship between GDP growth in Russia and the indicator of aggregate economic sentiment, which is based on the results of regular large-scale surveys of businesses and households for the period 1998–2020. The purpose of the study is to substantiate the empirical value of data on the opinions of business entities, to assess the value of this information for the statistical description and analysis of macroeconomic realities, including business cycles and sudden crises.

Suggested Citation

  • Luysmila Kitrar, Tamara Lipkind, 2020. "Analysis Of Interconnection Of The Indicator Of Economic Attitude And Growth [Анализ Взаимосвязи Показателя Экономического Отношения И Роста]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 6, pages 8-41, December.
    • Handle: RePEc:rnp:ecopol:s2050
    as

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    References listed on IDEAS

    as
    1. Dubovskiy, D (Дубовский, Д.) & Kofanov, D (Кофанов, Д.) & Sosunov, K (Сосунов, К.), 2015. "The Dating of the Russian Business Cycle [Датировка Российского Бизнес-Цикла]," Published Papers mn9, Russian Presidential Academy of National Economy and Public Administration.
    2. Paulo Picchetti, 2019. "The Connectedness of Business Cycles Between the BRICS," Societies and Political Orders in Transition, in: Sergey Smirnov & Ataman Ozyildirim & Paulo Picchetti (ed.), Business Cycles in BRICS, pages 55-65, Springer.
    3. A. Pestova., 2013. "Predicting Turning Points of the Business Cycle: Do Financial Sector Variables Help?," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 7.
    4. Polbin, Andrey V. (Полбин, Андрей В.), 2020. "Estimating Time-Varying Long-Run Growth Rate of Russian GDP in the ARX Model with Oil Prices [Оценка Траектории Темпов Трендового Роста Ввп России В Arx-Модели С Ценами На Нефть]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 40-63, February.
    5. Sergey Smirnov & Ataman Ozyildirim & Paulo Picchetti (ed.), 2019. "Business Cycles in BRICS," Societies and Political Orders in Transition, Springer, number 978-3-319-90017-9, July.
    6. Смирнов Сергей Владиславович & Кондрашов Николай Владимирович & Петроневич Анна Васильевна, 2015. "Поворотные Точки Российского Экономического Цикла, 1981–2015 Гг," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 19(4), pages 534-553.
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