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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

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

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

(30%) Gaidar Institute for Economic Policy

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

Research output

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Jump to: Articles

Articles

  1. 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.
  2. Zubarev Andrey & Rybak Konstantin, 2021. "Наукастинг Ввп: Динамическая Факторная Модель И Официальные Прогнозы," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 12, pages 34-40, December.

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 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. 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.
    2. Stankevich, Ivan, 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.

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