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Anton Belyakov

Personal Details

First Name:Anton
Middle Name:
Last Name:Belyakov
Suffix:
RePEc Short-ID:pbe1019
[This author has chosen not to make the email address public]
Terminal Degree:2014 Center for Operations Research and Econometrics (CORE); Louvain Institute of Data Analysis and Modelling in Economics and Statistics (LIDAM); Université Catholique de Louvain (from RePEc Genealogy)

Affiliation

(50%) Moscow School of Economics
M. V. Lomonosov Moscow State University

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

(50%) Central Bank of the Russian Federation

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

Research output

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Jump to: Articles Chapters

Articles

  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).
  2. Anton Belyakov & Josef Haunschmied & Vladimir Veliov, 2014. "Heterogeneous consumption in OLG model with horizontal innovations," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 13(3), pages 167-193, December.
  3. F. Aragón Artacho & A. Belyakov & A. Dontchev & M. López, 2014. "Local convergence of quasi-Newton methods under metric regularity," Computational Optimization and Applications, Springer, vol. 58(1), pages 225-247, May.
  4. Simon, C. & Belyakov, A.O. & Feichtinger, G., 2012. "Minimizing the dependency ratio in a population with below-replacement fertility through immigration," Theoretical Population Biology, Elsevier, vol. 82(3), pages 158-169.

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.
  2. Anton O. Belyakov & Vladimir M. Veliov, 2016. "On Optimal Harvesting in Age-Structured Populations," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Karl F. Doerner & Gustav Feichtinger & Peter M. Kort & Andrea Seidl (ed.), Dynamic Perspectives on Managerial Decision Making, pages 149-166, Springer.

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. 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).

  2. Anton Belyakov & Josef Haunschmied & Vladimir Veliov, 2014. "Heterogeneous consumption in OLG model with horizontal innovations," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 13(3), pages 167-193, December.

    Cited by:

    1. Bondarev, Anton & Greiner, Alfred, 2017. "Catching-up and falling behind: Effects of learning in an R&D differential game with spillovers," Working papers 2017/02, Faculty of Business and Economics - University of Basel.
    2. Anton Bondarev, 2016. "Intensity of R&D competition and the generation of innovations in heterogeneous setting," Journal of Evolutionary Economics, Springer, vol. 26(3), pages 621-653, July.

  3. F. Aragón Artacho & A. Belyakov & A. Dontchev & M. López, 2014. "Local convergence of quasi-Newton methods under metric regularity," Computational Optimization and Applications, Springer, vol. 58(1), pages 225-247, May.

    Cited by:

    1. Fabiana R. Oliveira & Orizon P. Ferreira & Gilson N. Silva, 2019. "Newton’s method with feasible inexact projections for solving constrained generalized equations," Computational Optimization and Applications, Springer, vol. 72(1), pages 159-177, January.
    2. Jiaxi Wang & Wei Ouyang, 2022. "Newton’s Method for Solving Generalized Equations Without Lipschitz Condition," Journal of Optimization Theory and Applications, Springer, vol. 192(2), pages 510-532, February.
    3. Wei Ouyang & Kui Mei, 2023. "A General Iterative Procedure for Solving Nonsmooth Constrained Generalized Equations," Mathematics, MDPI, vol. 11(22), pages 1-17, November.
    4. Michaël Gaydu & Gilson N. Silva, 2020. "A General Iterative Procedure to Solve Generalized Equations with Differentiable Multifunction," Journal of Optimization Theory and Applications, Springer, vol. 185(1), pages 207-222, April.

  4. Simon, C. & Belyakov, A.O. & Feichtinger, G., 2012. "Minimizing the dependency ratio in a population with below-replacement fertility through immigration," Theoretical Population Biology, Elsevier, vol. 82(3), pages 158-169.

    Cited by:

    1. Joan C. Micó & David Soler & Maria T. Sanz & Antonio Caselles & Salvador Amigó, 2022. "Minimizing Dependency Ratio in Spain through Demographic Variables," Mathematics, MDPI, vol. 10(9), pages 1-15, April.
    2. Hassan B. Ghassan & Hassan R. Alhajhoj & Faruk Balli, 2022. "Bi-demographic and current account dynamics using SVAR model: evidence from Saudi Arabia," Economic Change and Restructuring, Springer, vol. 55(3), pages 1327-1363, August.
    3. Ghassan, Hassan & Alhajhoj, Hassan R. & Balli, Faruk, 2018. "Bi-Demographic Changes and Current Account using SVAR Modeling: Evidence from Saudi Arabia," MPRA Paper 93013, University Library of Munich, Germany, revised 01 Feb 2019.
    4. Hassan Belkacem Ghassan & Hassan Rafdan Al-Hajhoj & Faruk Balli, 2019. "Bi-Demographic Changes and Current Account using SVAR Modeling: Evidence from Saudi Economy," Working Papers hal-01742574, HAL.
    5. Hassan B. Ghassan & Hassan R. Al-Hajhoj & Faruk Balli, 2018. "Bi-Demographic Changes and Current Account using SVAR Modeling," Papers 1803.11161, arXiv.org, revised Mar 2019.

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).

  2. Anton O. Belyakov & Vladimir M. Veliov, 2016. "On Optimal Harvesting in Age-Structured Populations," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Karl F. Doerner & Gustav Feichtinger & Peter M. Kort & Andrea Seidl (ed.), Dynamic Perspectives on Managerial Decision Making, pages 149-166, Springer.

    Cited by:

    1. Emmanuelle Augeraud-Véron & Raouf Boucekkine & Vladimir Veliov, 2019. "Distributed Optimal Control Models in Environmental Economics: A Review," Working Papers halshs-01982243, HAL.

More information

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Co-authorship network on CollEc

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