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Sergei Seleznev

Personal Details

First Name:Sergei
Middle Name:
Last Name:Seleznev
Suffix:
RePEc Short-ID:pse588
[This author has chosen not to make the email address public]

Affiliation

Central Bank of the Russian Federation

Moscow, Russia
https://cbr.ru/
RePEc:edi:cbrgvru (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Denis Koshelev & Alexey Ponomarenko & Sergei Seleznev, 2023. "Amortized neural networks for agent-based model forecasting," Papers 2308.05753, arXiv.org.
  2. Vadim Grishchenko & Alexey Ponomarenko & Sergey Seleznev, 2023. "A Feasible Approach to Projecting Household Demand For The Digital Ruble in Russia," Bank of Russia Working Paper Series wps108, Bank of Russia.
  3. Ramis Khabibullin & Sergei Seleznev, 2022. "Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference," Papers 2210.07154, arXiv.org.
  4. Dmitry Gornostaev & Alexey Ponomarenko & Sergei Seleznev & Alexandra Sterkhova, 2021. "A Real-Time Historical Database of Macroeconomic Indicators for Russia," Bank of Russia Working Paper Series wps76, Bank of Russia.
  5. Sergey Seleznev & Natalia Turdyeva & Ramis Khabibullin & Anna Tsvetkova, 2020. "Seasonal adjustment of the Bank of Russia Payment System financial flows data," Bank of Russia Working Paper Series wps65, Bank of Russia.
  6. Ramis Khbaibullin & Sergei Seleznev, 2020. "Stochastic Gradient Variational Bayes and Normalizing Flows for Estimating Macroeconomic Models," Bank of Russia Working Paper Series wps61, Bank of Russia.
  7. Sergei Seleznev, 2019. "Truncated priors for tempered hierarchical Dirichlet process vector autoregression," Bank of Russia Working Paper Series wps47, Bank of Russia.
  8. Ramis Khabibullin & Alexey Ponomarenko & Sergei Seleznev, 2018. "Forecasting the implications of foreign exchange reserve accumulation with an agent-based model," Bank of Russia Working Paper Series wps37, Bank of Russia.
  9. Alexey Ponomarenko & Anna Rozhkova & Sergei Seleznev, 2018. "Macro-financial linkages: the role of liquidity dependence," BIS Working Papers 716, Bank for International Settlements.
  10. Dmitry Kreptsev & Sergei Seleznev, 2017. "DSGE Model of the Russian Economy with the Banking Sector," Bank of Russia Working Paper Series wps27, Bank of Russia.
  11. Sergei Seleznev, 2016. "Solving DSGE models with stochastic trends," Bank of Russia Working Paper Series wps15, Bank of Russia.
  12. Dmitry Kreptsev & Alexey Porshakov & Sergey Seleznev & Andrey Sinyakov, 2016. "The equilibrium interest rate: a measurement for Russia," Bank of Russia Working Paper Series wps13, Bank of Russia.

Articles

  1. Ramis Khabibullin & Alexey Ponomarenko & Sergei Seleznev, 2022. "Forecasting the implications of foreign exchange reserve accumulation with a microsimulation model," Journal of Simulation, Taylor & Francis Journals, vol. 16(3), pages 298-311, May.
  2. Dmitry Gornostaev & Alexey Ponomarenko & Sergei Seleznev & Alexandra Sterkhova, 2022. "A Real-Time Historical Database of Macroeconomic Indicators for Russia," Russian Journal of Money and Finance, Bank of Russia, vol. 81(1), pages 88-103, March.
  3. Dmitry Kreptsev & Sergei Seleznev, 2018. "Forecasting for the Russian Economy Using Small-Scale DSGE Models," Russian Journal of Money and Finance, Bank of Russia, vol. 77(2), pages 51-67, June.

Chapters

  1. Sergei Seleznev & Ramis Khabibullin, 2022. "Applications of variational inference in the Bank of Russia," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Machine learning in central banking, volume 57, Bank for International Settlements.

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. Ramis Khabibullin & Sergei Seleznev, 2022. "Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference," Papers 2210.07154, arXiv.org.

    Cited by:

    1. Denis Koshelev & Alexey Ponomarenko & Sergei Seleznev, 2023. "Amortized neural networks for agent-based model forecasting," Papers 2308.05753, arXiv.org.

  2. Dmitry Gornostaev & Alexey Ponomarenko & Sergei Seleznev & Alexandra Sterkhova, 2021. "A Real-Time Historical Database of Macroeconomic Indicators for Russia," Bank of Russia Working Paper Series wps76, Bank of Russia.

    Cited by:

    1. Denis Shibitov & Mariam Mamedli, 2021. "Forecasting Russian Cpi With Data Vintages And Machine Learning Techniques," Bank of Russia Working Paper Series wps70, Bank of Russia.
    2. Michael Zhemkov, 2022. "Assessment of Monthly GDP Growth Using Temporal Disaggregation Methods," Russian Journal of Money and Finance, Bank of Russia, vol. 81(2), pages 79-104, June.
    3. Urmat Dzhunkeev, 2022. "Forecasting Unemployment in Russia Using Machine Learning Methods," Russian Journal of Money and Finance, Bank of Russia, vol. 81(1), pages 73-87, March.

  3. Sergey Seleznev & Natalia Turdyeva & Ramis Khabibullin & Anna Tsvetkova, 2020. "Seasonal adjustment of the Bank of Russia Payment System financial flows data," Bank of Russia Working Paper Series wps65, Bank of Russia.

    Cited by:

    1. Natalia Turdyeva & Anna Tsvetkova & Levon Movsesyan & Alexey Porshakov & Dmitriy Chernyadyev, 2021. "Data of Sectoral Financial Flows as a High-Frequency Indicator of Economic Activity," Russian Journal of Money and Finance, Bank of Russia, vol. 80(2), pages 28-49, June.

  4. Ramis Khbaibullin & Sergei Seleznev, 2020. "Stochastic Gradient Variational Bayes and Normalizing Flows for Estimating Macroeconomic Models," Bank of Russia Working Paper Series wps61, Bank of Russia.

    Cited by:

    1. Ramis Khabibullin & Alexey Ponomarenko, 2022. "An empirical behavioral model of household’s deposit dollarization," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(3), pages 827-847, July.
    2. Sergey Seleznev & Natalia Turdyeva & Ramis Khabibullin & Anna Tsvetkova, 2020. "Seasonal adjustment of the Bank of Russia Payment System financial flows data," Bank of Russia Working Paper Series wps65, Bank of Russia.
    3. Denis Shibitov & Mariam Mamedli, 2021. "Forecasting Russian Cpi With Data Vintages And Machine Learning Techniques," Bank of Russia Working Paper Series wps70, Bank of Russia.
    4. Natalia Turdyeva & Anna Tsvetkova & Levon Movsesyan & Alexey Porshakov & Dmitriy Chernyadyev, 2021. "Data of Sectoral Financial Flows as a High-Frequency Indicator of Economic Activity," Russian Journal of Money and Finance, Bank of Russia, vol. 80(2), pages 28-49, June.

  5. Ramis Khabibullin & Alexey Ponomarenko & Sergei Seleznev, 2018. "Forecasting the implications of foreign exchange reserve accumulation with an agent-based model," Bank of Russia Working Paper Series wps37, Bank of Russia.

    Cited by:

    1. Alexey Ponomarenko, 2019. "Foreign exchange reserves and money supply," Bank of Russia Working Paper Series note19, Bank of Russia.

  6. Alexey Ponomarenko & Anna Rozhkova & Sergei Seleznev, 2018. "Macro-financial linkages: the role of liquidity dependence," BIS Working Papers 716, Bank for International Settlements.

    Cited by:

    1. Alexey Ponomarenko & Svetlana Popova & Sergey Sabodash, 2018. "Industry specifics of liquidity dependence in Russia and vulnerability to financial shocks," Bank of Russia Working Paper Series note18, Bank of Russia.
    2. Mikhail Stolbov & Maria Shchepeleva, 2021. "Macrofinancial linkages in Europe: Evidence from quantile local projections," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5557-5569, October.

  7. Dmitry Kreptsev & Sergei Seleznev, 2017. "DSGE Model of the Russian Economy with the Banking Sector," Bank of Russia Working Paper Series wps27, Bank of Russia.

    Cited by:

    1. Kozlovtceva, Irina & Ponomarenko, Alexey & Sinyakov, Andrey & Tatarintsev, Stas, 2020. "A case for leaning against the wind in a commodity-exporting economy," International Economics, Elsevier, vol. 164(C), pages 86-114.
    2. Oleg Kryzhanovsky & Alexander Zykov, 2021. "DEMUR, a regional semi-structural model of the Ural Macroregion," Bank of Russia Working Paper Series wps83, Bank of Russia.
    3. Ivan Khotulev, 2020. "Shock-Dependent Exchange Rate Pass-Through in Russia," Bank of Russia Working Paper Series note20, Bank of Russia.
    4. Samvel S. Lazaryan & Maria A. Elkina, 2021. "Financial Sector’s Role in Transmission of Monetary and Fiscal Shocks in Russian Economy: Estimation Under Different Assumptions About Production Sector," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 6, pages 25-53, December.
    5. Mikhail Andreev & M. Udara Peiris & Alexander Shirobokov & Dimitrios P. Tsomocos, 2024. "Commodity cycles and financial instability in emerging economies," Annals of Finance, Springer, vol. 20(2), pages 167-197, June.
    6. Mikhail Andreyev & Mikhail Andreyev & Mikhail Andreyev, 2020. "Adding a fiscal rule into a DSGE model: How much does it change the forecasts?," Bank of Russia Working Paper Series wps64, Bank of Russia.
    7. 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.
    8. 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.

  8. Sergei Seleznev, 2016. "Solving DSGE models with stochastic trends," Bank of Russia Working Paper Series wps15, Bank of Russia.

    Cited by:

    1. Oleg Kryzhanovsky & Alexander Zykov, 2021. "DEMUR, a regional semi-structural model of the Ural Macroregion," Bank of Russia Working Paper Series wps83, Bank of Russia.

  9. Dmitry Kreptsev & Alexey Porshakov & Sergey Seleznev & Andrey Sinyakov, 2016. "The equilibrium interest rate: a measurement for Russia," Bank of Russia Working Paper Series wps13, Bank of Russia.

    Cited by:

    1. Yulia Ushakova & Dmitry Chernyadyev, 2017. "The effects of Financial Shock on Russian short-term equilibrium interest rates," Bank of Russia Working Paper Series note11, Bank of Russia.
    2. Clemens Grafe & Sara Grut & Lorenzo Rigon, 2018. "Neutral Interest Rates in CEEMEA - Moving in Tandem with Global Factors," Russian Journal of Money and Finance, Bank of Russia, vol. 77(1), pages 6-25, March.

Articles

  1. Dmitry Gornostaev & Alexey Ponomarenko & Sergei Seleznev & Alexandra Sterkhova, 2022. "A Real-Time Historical Database of Macroeconomic Indicators for Russia," Russian Journal of Money and Finance, Bank of Russia, vol. 81(1), pages 88-103, March.
    See citations under working paper version above.
  2. Dmitry Kreptsev & Sergei Seleznev, 2018. "Forecasting for the Russian Economy Using Small-Scale DSGE Models," Russian Journal of Money and Finance, Bank of Russia, vol. 77(2), pages 51-67, June.

    Cited by:

    1. 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.
    2. Oleg Kryzhanovsky & Alexander Zykov, 2021. "DEMUR, a regional semi-structural model of the Ural Macroregion," Bank of Russia Working Paper Series wps83, Bank of Russia.
    3. Mikhail Andreyev & Alyona Nelyubina, 2024. "Energy transition scenarios in Russia: effects in macroeconomic general equilibrium model with rational expectations," Bank of Russia Working Paper Series wps122, Bank of Russia.
    4. Dementiev, V., 2023. "Updating the technological base of the economy and real interest rates," Journal of the New Economic Association, New Economic Association, vol. 60(3), pages 104-119.
    5. Bünyamin Fuat Yıldız & Korhan K. Gökmenoğlu & Wing-Keung Wong, 2022. "Analysing Monetary Policy Shocks by Sign and Parametric Restrictions: The Evidence from Russia," Economies, MDPI, vol. 10(10), pages 1-16, September.
    6. Votinov, A., 2022. "The effects of additional non-stationary processes on the properties of DSGE-models," Journal of the New Economic Association, New Economic Association, vol. 55(3), pages 28-43.
    7. V. I. Baluta & D. N. Shul’ts & P. A. Lavrinenko, 2022. "Assessing the Impact of Global Hydrocarbon Prices on the Russian Economy Based on the DSGE Model with Capital-Owning Firms," Studies on Russian Economic Development, Springer, vol. 33(1), pages 107-117, February.
    8. Henry Penikas, 2023. "Smoothing the Key Rate Pass-Through: What to Keep in Mind When Interpreting Econometric Estimates," Russian Journal of Money and Finance, Bank of Russia, vol. 82(3), pages 3-34, September.
    9. Andrey Polbin & Sergey Sinelnikov-Murylev, 2023. "Developing and impulse response matching estimation of the DSGE model for the Russian economy," Research Paper Series, Gaidar Institute for Economic Policy, issue 182P, pages 1-53.
    10. Artur Sharafutdinov, 2023. "Forecasting Russian GDP, Inflation, Interest Rate, and Exchange Rate Using DSGE-VAR Model," Russian Journal of Money and Finance, Bank of Russia, vol. 82(3), pages 62-86, September.
    11. Mikhail Andreyev & Mikhail Andreyev & Mikhail Andreyev, 2020. "Adding a fiscal rule into a DSGE model: How much does it change the forecasts?," Bank of Russia Working Paper Series wps64, Bank of Russia.
    12. 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.

Chapters

    Sorry, no citations of chapters recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 15 papers 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-MAC: Macroeconomics (9) 2017-12-11 2018-03-19 2018-05-28 2018-11-26 2019-01-07 2019-11-04 2021-03-01 2021-05-03 2022-01-10. Author is listed
  2. NEP-CIS: Confederation of Independent States (7) 2018-03-19 2018-11-26 2019-01-07 2019-11-04 2021-03-01 2022-01-10 2023-03-13. Author is listed
  3. NEP-CMP: Computational Economics (6) 2017-04-16 2018-11-26 2021-05-03 2023-02-20 2023-07-24 2023-09-04. Author is listed
  4. NEP-ETS: Econometric Time Series (5) 2019-11-04 2021-03-01 2021-05-03 2022-11-07 2023-02-20. Author is listed
  5. NEP-ECM: Econometrics (4) 2017-04-16 2019-11-04 2021-05-03 2022-11-07. Author is listed
  6. NEP-ORE: Operations Research (4) 2017-04-16 2019-11-04 2021-03-01 2021-05-03. Author is listed
  7. NEP-BIG: Big Data (3) 2021-05-03 2023-07-24 2023-09-04
  8. NEP-DGE: Dynamic General Equilibrium (3) 2017-04-16 2019-01-07 2023-02-20
  9. NEP-HME: Heterodox Microeconomics (2) 2023-07-24 2023-09-04
  10. NEP-MON: Monetary Economics (2) 2018-11-26 2023-03-13
  11. NEP-NET: Network Economics (2) 2023-07-24 2023-09-04
  12. NEP-BAN: Banking (1) 2023-03-13
  13. NEP-CFN: Corporate Finance (1) 2019-01-07
  14. NEP-FOR: Forecasting (1) 2018-11-26
  15. NEP-HIS: Business, Economic and Financial History (1) 2022-01-10
  16. NEP-PAY: Payment Systems and Financial Technology (1) 2023-03-13
  17. NEP-TRA: Transition Economics (1) 2022-01-10

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