Konstantin Rybak

Personal Details

First Name:	Konstantin
Middle Name:
Last Name:	Rybak
Suffix:
RePEc Short-ID:	pry72
	[This author has chosen not to make the email address public]

Affiliation

(30%) Gaidar Institute for Economic Policy

Moscow, Russia
http://www.iep.ru/
RePEc:edi:gaidaru (more details at EDIRC)

(70%) Russian Presidential Academy of National Economy and Public Administration (RANEPA)

Moscow, Russia
http://www.ranepa.ru/
RePEc:edi:aneeeru (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

1. Zubarev, A. & Rybak, K., 2022. "The impact of global shocks on the Russian economy: FAVAR approach," Journal of the New Economic Association, New Economic Association, vol. 56(4), pages 48-68.

   Cited by:

   1. Konstantin S. Rybak, 2023. "Анализ Важности Глобальных Факторов Для Наукастинга Ввп," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 12, pages 18-23, December.
   2. Ilya Zverev & Nadezhda Kislyak, 2025. "Estimating the Output Gap of the Russian Economy: A Multivariate Approach Based on BVAR and the Beveridge–Nelson Filter," Russian Journal of Money and Finance, Bank of Russia, vol. 84(4), pages 22-46, December.
   3. Konstantin S. Rybak, 2023. "Evaluating the Role of Global Factors in GDP Nowcasting [Анализ Важности Глобальных Факторов Для Наукастинга Ввп]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 12, pages 18-23, December.

2. Andrey Zubarev & Daniil Lomonosov & Konstantin Rybak, 2022. "Estimation of the Impact of Global Shocks on the Russian Economy and GDP Nowcasting Using a Factor Model," Russian Journal of Money and Finance, Bank of Russia, vol. 81(2), pages 49-78, June.

   Cited by:

   1. Alexandra Bozhechkova & Urmat Dzhunkeev, 2024. "CLARA and CARLSON: Combination of Ensemble and Neural Network Machine Learning Methods for GDP Forecasting," Russian Journal of Money and Finance, Bank of Russia, vol. 83(3), pages 45-69, September.
   2. Alexander Eliseev, 2025. "Nowcasting Russian GDP in a Mixed-Frequency DSGE Model with a Panel of Non-Modelled Variables," Russian Journal of Money and Finance, Bank of Russia, vol. 84(3), pages 63-93, September.
      • Alexander Eliseev, 2025. "Nowcasting Russian GDP in a mixed-frequency DSGE model with a panel of non-modelled variables," Bank of Russia Working Paper Series wps145, Bank of Russia.

3. Zubarev Andrey & Rybak Konstantin, 2021. "GDP Nowcasting: Dynamic Factor Model vs. Official Forecasts [Наукастинг Ввп: Динамическая Факторная Модель И Официальные Прогнозы]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 12, pages 34-40, December.

   Cited by:

   1. Anastasia Pankratova, 2025. "Application of MF-PVAR Model for Nowcasting Gross Regional Products in Russia," Russian Journal of Money and Finance, Bank of Russia, vol. 84(4), pages 47-62, December.
   2. I. A. Kirichenko & A. V. Smirnov, 2024. "Composite Supply Index of Investment Products as a Proxy Indicator of Fixed Capital Investment," Studies on Russian Economic Development, Springer, vol. 35(2), pages 215-225, April.
   3. Natalia Makeeva, 2025. "The impact of the official statistics revision on the accuracy of the Russian macroeconomic indicators nowcasting models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 79, pages 27-49.
   4. Margarita Lyakhnova & Yuri Kolenko, 2024. "Nowcasting the Output Gap in Russia Using Enterprise Monitoring Data," Russian Journal of Money and Finance, Bank of Russia, vol. 83(2), pages 26-53, June.
   5. Konstantin S. Rybak, 2023. "Анализ Важности Глобальных Факторов Для Наукастинга Ввп," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 12, pages 18-23, December.
   6. Ivan Stankevich, 2023. "Application of Markov-Switching MIDAS models to nowcasting of GDP and its components," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 70, pages 122-143.
   7. Alexander Eliseev, 2025. "Nowcasting Russian GDP in a Mixed-Frequency DSGE Model with a Panel of Non-Modelled Variables," Russian Journal of Money and Finance, Bank of Russia, vol. 84(3), pages 63-93, September.
      • Alexander Eliseev, 2025. "Nowcasting Russian GDP in a mixed-frequency DSGE model with a panel of non-modelled variables," Bank of Russia Working Paper Series wps145, Bank of Russia.
   8. Konstantin S. Rybak, 2023. "Evaluating the Role of Global Factors in GDP Nowcasting [Анализ Важности Глобальных Факторов Для Наукастинга Ввп]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 12, pages 18-23, December.

4. Polbin Andrey & Rybak Konstantin & Zubarev Andrey, 2020. "Capital mobility in commodity-exporting economies," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(5), pages 1-10, December.

   Cited by:

   1. Golub, A. & Potashnikov, V., 2022. "Theoretical analysis of development traps: On the example of Russia," Journal of the New Economic Association, New Economic Association, vol. 54(2), pages 56-74.

5. Andrey Zubarev & Konstantin Rybak, 2020. "The Impact of Risk Premium on Russian Macroeconomic Indicators," HSE Economic Journal, National Research University Higher School of Economics, vol. 24(3), pages 391-414.

   Cited by:

   1. Deni Sugaipov, 2022. "Estimating the impact of terms of trade news shocks on the Russian economy," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 66, pages 39-67.

More information

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Corrections

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