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Alexey Nikolaevich Kurbatskiy

Personal Details

First Name:Alexey
Middle Name:Nikolaevich
Last Name:Kurbatskiy
Suffix:
RePEc Short-ID:pku285
[This author has chosen not to make the email address public]

Affiliation

Moscow School of Economics
M. V. Lomonosov Moscow State University

Moscow, Russia
http://www.mse-msu.ru/
RePEc:edi:msmsuru (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Fantazzini, Dean & Kurbatskii, Alexey & Mironenkov, Alexey & Lycheva, Maria, 2022. "Forecasting oil prices with penalized regressions, variance risk premia and Google data," MPRA Paper 118239, University Library of Munich, Germany.
  2. Fantazzini, Dean & Pushchelenko, Julia & Mironenkov, Alexey & Kurbatskii, Alexey, 2021. "Forecasting internal migration in Russia using Google Trends: Evidence from Moscow and Saint Petersburg," MPRA Paper 110452, University Library of Munich, Germany.
  3. Alexey, Kurbatskiy & Nikita, Artamonov & Timur, Khalimov, 2020. "Взаимосвязь Экономического Развития И Возрастной Структуры Населения Регионов Российской Федерации [Relationship between economic development and the population age structure of Russian Federation ," MPRA Paper 105273, University Library of Munich, Germany.
  4. Alexey, Kurbatskiy & Vladimir, Zakalyukin, 2009. "Особенности Множества Транзитивности, Заданного Замкнутыми Пространственными Кривыми [Singularities of transitivity zones of curves]," MPRA Paper 34599, University Library of Munich, Germany, revised 2009.

Articles

  1. Alexey A. Mironenkov & Alexey N. Kurbatskii & Marina V. Mironenkova, 2024. "The Quality-of-Life Measurement with a Stochastic Choice of Parameters of the Weighted Principal Component," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 23(1), pages 82-109.
  2. Lycheva, Maria & Mironenkov, Alexey & Kurbatskii, Alexey & Fantazzini, Dean, 2022. "Forecasting oil prices with penalized regressions, variance risk premia and Google data," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 68, pages 28-49.
  3. Dean Fantazzini & Julia Pushchelenko & Alexey Mironenkov & Alexey Kurbatskii, 2021. "Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg," Forecasting, MDPI, vol. 3(4), pages 1-30, October.
  4. Belyakov, A.O. & Kurbatskiy, A.N. & Prettner, K., 2021. "The growth effects of anticipated versus unanticipated population aging," Journal of Mathematical Economics, Elsevier, vol. 94(C).
  5. Artamonov, Nikita & Voronina, Anna & Emelyanov, Nikita & Kurbatskii, Aleksei, 2020. "Estimation of interest rates’ impact on mutual funds’ performance in the USA," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 58, pages 55-75.
  6. Evgeny A. Ivin & Alexey N. Kurbatskiy & Alexandr V. Slovesnov, 2014. "Time aspects of a fund manager appraisal," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 4(1/2), pages 96-111.

Chapters

  1. Anton O. Belyakov & Alexey N. Kurbatskiy & Klaus Prettner, 2019. "Anticipated Expansions of Life Expectancy and Their Long-Run Growth Effects," MIC 2019: Managing Geostrategic Issues; Proceedings of the Joint International Conference, Opatija, Croatia, 29 May–1 June 2019,, University of Primorska Press.

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. Fantazzini, Dean & Pushchelenko, Julia & Mironenkov, Alexey & Kurbatskii, Alexey, 2021. "Forecasting internal migration in Russia using Google Trends: Evidence from Moscow and Saint Petersburg," MPRA Paper 110452, University Library of Munich, Germany.

    Cited by:

    1. Adam Gawryluk & Agnieszka Komor & Monika Kulisz & Patrycjusz Zarębski & Dominik Katarzyński, 2024. "Artificial Neural Networks as a Method for Forecasting Migration Balance (A Case Study of the City of Lublin in Poland)," Sustainability, MDPI, vol. 16(24), pages 1-18, December.
    2. Alina Sîrbu & Diletta Goglia & Jisu Kim & Paul Maximilian Magos & Laura Pollacci & Spyridon Spyratos & Giulio Rossetti & Stefano Maria Iacus, 2024. "International mobility between the UK and Europe around Brexit: a data-driven study," Journal of Computational Social Science, Springer, vol. 7(2), pages 1451-1482, October.
    3. Bronitsky, Georgy & Vakulenko, Elena, 2024. "Using Google Trends to forecast migration from Russia: Search query aggregation and accounting for lag structure," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 73, pages 78-101.
    4. Bert Leysen & Pieter-Paul Verhaeghe, 2023. "Searching for migration: estimating Japanese migration to Europe with Google Trends data," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4603-4631, October.
    5. Tongzheng Pu & Chongxing Huang & Jingjing Yang & Ming Huang, 2023. "Transcending Time and Space: Survey Methods, Uncertainty, and Development in Human Migration Prediction," Sustainability, MDPI, vol. 15(13), pages 1-23, July.
    6. Nathan Wycoff & Lisa O. Singh & Ali Arab & Katharine M. Donato & Helge Marahrens, 2024. "The digital trail of Ukraine’s 2022 refugee exodus," Journal of Computational Social Science, Springer, vol. 7(2), pages 2147-2193, October.

Articles

  1. Dean Fantazzini & Julia Pushchelenko & Alexey Mironenkov & Alexey Kurbatskii, 2021. "Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg," Forecasting, MDPI, vol. 3(4), pages 1-30, October.
    See citations under working paper version above.
  2. Belyakov, A.O. & Kurbatskiy, A.N. & Prettner, K., 2021. "The growth effects of anticipated versus unanticipated population aging," Journal of Mathematical Economics, Elsevier, vol. 94(C).

    Cited by:

    1. Liu, Changfei & Wu, Qiong & Yang, Zuozhi, 2024. "Population aging and corporate risk-taking," Finance Research Letters, Elsevier, vol. 61(C).

  3. Evgeny A. Ivin & Alexey N. Kurbatskiy & Alexandr V. Slovesnov, 2014. "Time aspects of a fund manager appraisal," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 4(1/2), pages 96-111.

    Cited by:

    1. Artamonov, Nikita & Voronina, Anna & Emelyanov, Nikita & Kurbatskii, Aleksei, 2020. "Estimation of interest rates’ impact on mutual funds’ performance in the USA," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 58, pages 55-75.
    2. 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.

Chapters

  1. Anton O. Belyakov & Alexey N. Kurbatskiy & Klaus Prettner, 2019. "Anticipated Expansions of Life Expectancy and Their Long-Run Growth Effects," MIC 2019: Managing Geostrategic Issues; Proceedings of the Joint International Conference, Opatija, Croatia, 29 May–1 June 2019,, University of Primorska Press.

    Cited by:

    1. Belyakov, A.O. & Kurbatskiy, A.N. & Prettner, K., 2021. "The growth effects of anticipated versus unanticipated population aging," Journal of Mathematical Economics, Elsevier, vol. 94(C).

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 3 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-BIG: Big Data (2) 2021-11-22 2023-09-11
  2. NEP-CIS: Confederation of Independent States (2) 2021-02-01 2021-11-22
  3. NEP-FOR: Forecasting (2) 2021-11-22 2023-09-11
  4. NEP-AGE: Economics of Ageing (1) 2021-02-01
  5. NEP-ENE: Energy Economics (1) 2023-09-11
  6. NEP-ORE: Operations Research (1) 2021-11-22
  7. NEP-PAY: Payment Systems and Financial Technology (1) 2021-11-22
  8. NEP-RMG: Risk Management (1) 2023-09-11
  9. NEP-TRA: Transition Economics (1) 2021-11-22
  10. NEP-URE: Urban and Real Estate Economics (1) 2021-11-22

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