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Oxana Malakhovskaya

Personal Details

First Name:Oxana
Middle Name:
Last Name:Malakhovskaya
Suffix:
RePEc Short-ID:pma2041
[This author has chosen not to make the email address public]

Affiliation

(50%) Laboratory for Macroeconomic Analysis
National Research University Higher School of Economics (HSE)

Moscow, Russia
http://macro.hse.ru/
RePEc:edi:mahseru (more details at EDIRC)

(50%) Faculty of Economics
National Research University Higher School of Economics (HSE)

Moscow, Russia
http://economics.hse.ru/
RePEc:edi:fehseru (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Boris B. Demeshev & Oxana A. Malakhovskaya, 2015. "Forecasting Russian Macroeconomic Indicators with BVAR," HSE Working papers WP BRP 105/EC/2015, National Research University Higher School of Economics.
  2. Oxana A. Malakhovskaya & Alexey R. Minabutdinov, 2013. "Are commodity price shocks important? A Bayesian estimation of a DSGE model for Russia," HSE Working papers WP BRP 48/EC/2013, National Research University Higher School of Economics.

Articles

  1. Demeshev, Boris & Malakhovskaya, Oxana, 2016. "BVAR mapping," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 43, pages 118-141.
  2. Oxana Malakhovskaya & Alexey Minabutdinov, 2014. "Are commodity price shocks important? A Bayesian estimation of a DSGE model for Russia," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 4(1/2), pages 148-180.

    RePEc:nos:voprec:2016-12-7 is not listed on IDEAS

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.

Working papers

  1. Boris B. Demeshev & Oxana A. Malakhovskaya, 2015. "Forecasting Russian Macroeconomic Indicators with BVAR," HSE Working papers WP BRP 105/EC/2015, National Research University Higher School of Economics.

    Cited by:

    1. Fokin, Nikita & Polbin, Andrey, 2019. "A Bivariate Forecasting Model For Russian GDP Under Structural Changes In Monetary Policy and Long-Term Growth," MPRA Paper 95306, University Library of Munich, Germany, revised Apr 2019.
    2. Shulgin, A., 2017. "Two-Dimensional Monetary Policy Shocks in DSGE-Model Estimated for Russia," Journal of the New Economic Association, New Economic Association, vol. 33(1), pages 75-115.
    3. Pestova, Anna (Пестова, Анна) & Mamonov, Mikhail (Мамонов, Михаил), 2016. "Estimating the Influence of Different Shocks on Macroeconomic Indicators and Developing Conditional Forecasts on the Basis of BVAR Model for the Russian Economy [Оценка Влияния Различных Шоков На Д," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 4, pages 56-92, August.
    4. Демешев Борис Борисович & Малаховская Оксана Анатольевна, 2016. "Макроэкономическое Прогнозирование С Помощью Bvar Литтермана," 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. 20(4), pages 691-710.
    5. Aizhan Bolatbayeva & Alisher Tolepbergen & Nurdaulet Abilov, 2020. "A macroeconometric model for Russia," Russian Journal of Economics, ARPHA Platform, vol. 6(2), pages 114-143, June.

  2. Oxana A. Malakhovskaya & Alexey R. Minabutdinov, 2013. "Are commodity price shocks important? A Bayesian estimation of a DSGE model for Russia," HSE Working papers WP BRP 48/EC/2013, National Research University Higher School of Economics.

    Cited by:

    1. Kirchner, Markus & Rieth, Malte, 2020. "Sovereign default risk, macroeconomic fluctuations and monetary-fiscal stabilisation," IWH Discussion Papers 22/2020, Halle Institute for Economic Research (IWH).
    2. Sergey Ivashchenko, 2022. "Dynamic Stochastic General Equilibrium Model with Multiple Trends and Structural Breaks," Russian Journal of Money and Finance, Bank of Russia, vol. 81(1), pages 46-72, March.
    3. Drobyshevskiy, Sergei (Дробышевский, Сергей) & Polbin, Andrei (Полбин, Андрей), 2015. "Decomposition of the Structural Shocks Contribution to the Russian Macroeconomic Indicators Dynamics on the Basis of the DSGE Model [Декомпозиция Динамики Макроэкономических Показателей Рф На Основ," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 2, pages 20-42.
    4. Zubarev, Andrey V. (Зубарев, Андрей) & Polbin, Andrey V. (Ролбин, Андрей), 2016. "Estimation of Macroeconomic Effects from the Decline in Oil Export Duty [Оценка Макроэкономических Эффектов От Снижения Экспортной Пошлины На Нефть]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 6, pages 8-35, December.
    5. Jorge Fornero & Markus Kirchner & Andrés Yany, 2015. "Terms of Trade Shocks and Investment in Commodity-Exporting Economies," Central Banking, Analysis, and Economic Policies Book Series, in: Rodrigo Caputo & Roberto Chang (ed.),Commodity Prices and Macroeconomic Policy, edition 1, volume 22, chapter 5, pages 135-193, Central Bank of Chile.
    6. Diagne, Youssoupha Sakrya & Thiam, Dame, 2020. "La résilience de l'économie sénégalaise : Quelles politiques publiques en réponses aux chocs exogènes? [Resillience of the senegalese economy; What policy responses to exogenous shocks?]," MPRA Paper 114018, University Library of Munich, Germany.
    7. Georgios Georgiadis & Martina Jancokova, 2017. "Financial Globalisation, Monetary Policy Spillovers and Macro-modelling: Tales from 1001 Shocks," Globalization Institute Working Papers 314, Federal Reserve Bank of Dallas.
    8. Gleb Kurovskiy, 2017. "Modelling terms of trade volatility impact on output dynamics in Russia," EcoMod2017 10361, EcoMod.
    9. Ortiz, Marco & Herrera, Gerardo & Perez, Fernando, 2022. "The shine beneath: foreign exchange intervention in resource-rich economies," MPRA Paper 116208, University Library of Munich, Germany.
    10. Shulgin, A., 2017. "Two-Dimensional Monetary Policy Shocks in DSGE-Model Estimated for Russia," Journal of the New Economic Association, New Economic Association, vol. 33(1), pages 75-115.
    11. Ekaterina Pyltsyna, 2018. "The Change Of Fiscal Multiplier When Switching From Managed Exchange Rate Regime To Thefloating One," HSE Working papers WP BRP 206/EC/2018, National Research University Higher School of Economics.
    12. Drygalla, Andrej, 2017. "Monetary policy in an oil-dependent economy in the presence of multiple shocks," IWH Discussion Papers 14/2017, Halle Institute for Economic Research (IWH).
    13. Romain Houssa & Jolan Mohimont & Christopher Otrok, 2022. "Commodity Exports, Financial Frictions and International Spillovers," Globalization Institute Working Papers 419, Federal Reserve Bank of Dallas.
    14. Paul J. J. Welfens, 2022. "Russia's Attack on Ukraine: Economic Challenges, Embargo Issues & a New World Order," EIIW Discussion paper disbei312, Universitätsbibliothek Wuppertal, University Library.
    15. Daniil Lomonosov, 2023. "Shocks of Business Activity and Specific Shocks to Oil Market in DSGE Model of Russian Economy and Their Influence Under Different Monetary Policy Regimes," Russian Journal of Money and Finance, Bank of Russia, vol. 82(4), pages 44-79, December.
    16. Mikhail Andreev & M. Udara Peiris & Aleksandr Shirobokov & Dimitrios P. Tsomocos, 2019. "Macroprudential Policy and Financial (In)Stability Analysis in the Russian Federation," Russian Journal of Money and Finance, Bank of Russia, vol. 78(3), pages 3-37, September.
    17. Fantazzini, Dean, 2014. "Editorial for the Special Issue on 'Computational Methods for Russian Economic and Financial Modelling'," MPRA Paper 55430, University Library of Munich, Germany.
    18. Huntington, Hillard & Barrios, James & Arora, Vipin, 2017. "Review of Key International Demand Elasticities for Major Industrializing Economies," MPRA Paper 95890, University Library of Munich, Germany, revised Aug 2019.
    19. Fantazzini, Dean & Shangina, Tamara, 2019. "The importance of being informed: forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 5-31.
    20. Lukas Vogel & Stefan Hohberger & Bernhard Herz, 2015. "Should Commodity Exporters Peg to the Export Price?," Review of Development Economics, Wiley Blackwell, vol. 19(3), pages 486-501, August.
    21. Andrej Drygalla, 2023. "Monetary policy in an oil-dependent economy in the presence of multiple shocks," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 159(1), pages 185-214, February.
    22. Рубинштейн Александр Яковлевич, "undated". "Рациональность & Иррациональность: Эволюция Смыслов [Rationality & Irrationality: Evolution of the Senses]," Working papers a:pru175:ye:2017:1, Institute of Economics.
    23. Иващенко Сергей Михайлович, 2016. "Многосекторная Модель Динамического Стохастического Общего Экономического Равновесия Российской Экономики," Vestnik of the St. Petersburg University. Series 5. Economics Вестник Санкт-Петербургского университета. Серия 5. Экономика, CyberLeninka;Федеральное государственное бюджетное образовательное учреждение высшего образования «Санкт-Петербургский государственный университет», issue 3, pages 176-202.
    24. Zubarev, Andrey (Зубарев, Андрей) & Polbin, Andrey (Полбин, Андрей), 2017. "Scenario Analysis of the Impact of Reducing the Export Duty on Oil on the Russian Economy within the Framework of the General Equilibrium Model [Сценарный Анализ Влияния На Российскую Экономику Сни," Working Papers 051734, Russian Presidential Academy of National Economy and Public Administration.

Articles

  1. Demeshev, Boris & Malakhovskaya, Oxana, 2016. "BVAR mapping," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 43, pages 118-141.

    Cited by:

    1. Константин Орлов // Konstantin Orlov, 2021. "Построение большой байесовской авторегрессионной модели для Казахстана // Building a Large Bayesian Vector Autoregression Model for Kazakhstan," Working Papers #2021-1, National Bank of Kazakhstan.
    2. M. Tiunova G. & М. Тиунова Г., 2018. "Влияние Внешних Шоков На Российскую Экономику // The Impact Of External Shocks On The Russian Economy," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 22(4), pages 146-170.
    3. Shevelev A.A., 2017. "Bayesian approach to evaluate the impact of external shocks on Russian macroeconomics indicators," World of economics and management / Vestnik NSU. Series: Social and Economics Sciences, Socionet, vol. 17(1), pages 26-40.
    4. M. Tiunova G. & М. Тиунова Г., 2018. "Моделирование Эффекта Переноса Валютного Курса На Цены В России // Modeling The Transfer Effect Of Exchange Rate On Prices In Russia," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 22(3), pages 136-154.
    5. Anton I. Votinov & Ivan P. Stankevich, 2017. "VAR Approach to Efficiency Evaluation of Fiscal Economy Encouragement Measures," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 6, pages 64-74, December.
    6. И Управления Мир Экономики, 2017. "Байесовский подход к анализу влияния монетарной политики на макроэкономические показатели России. Bayesian approach to the analysis of monetary policy impact on Russian macroeconomics indicators," Мир экономики и управления // Вестник НГУ. Cерия: Cоциально-экономические науки, Socionet;Новосибирский государственный университет, vol. 17(4), pages 53-70.

  2. Oxana Malakhovskaya & Alexey Minabutdinov, 2014. "Are commodity price shocks important? A Bayesian estimation of a DSGE model for Russia," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 4(1/2), pages 148-180.
    See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CIS: Confederation of Independent States (1) 2015-11-15
  2. NEP-FOR: Forecasting (1) 2015-11-15
  3. NEP-MAC: Macroeconomics (1) 2015-11-15
  4. NEP-ORE: Operations Research (1) 2015-11-15
  5. NEP-TRA: Transition Economics (1) 2015-11-15

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