IDEAS home Printed from https://ideas.repec.org/a/scn/cememm/v52y2016i1p112-131.html

Агент-Ориентированная Многорегиональная Модель “Затраты-Выпуск” Российской Экономики

Author

Listed:
  • Суслов В.И.
  • Доможиров Д.А.
  • Ибрагимов Н.М.
  • Костин В.С.
  • Мельникова Л.В.
  • Цыплаков А.А.

Abstract

В статье впервые представлены концепция и пилотная версия агент-ориентированной межрегиональной модели «затраты–выпуск» российской экономики (АОМММ). В этой модели экономические взаимодействия в пространстве осуществляются независимыми агентами в условиях ограниченной информации, что соответствует современной внеравновесной парадигме моделирования экономики. Представляемая модель отличается от известных агент-ориентированных моделей тем, что: 1) представляет экономику в целом, а не отдельный сегмент рынка; 2) явным образом учитывает географическое размещение агентов; 3) совместима с действующей нормативной моделью (межрегиональной моделью «затраты–выпуск») и основана на реальной информации. Специальное внимание уделено эволюции концепции равновесия в моделировании экономических систем, в частности пространственной экономики, алгоритму поиска равновесия и возможности его изучения. Представлены результаты экспериментальных расчетов по изучению сходимости модели к состоянию квазиравновесия.

Suggested Citation

  • Суслов В.И. & Доможиров Д.А. & Ибрагимов Н.М. & Костин В.С. & Мельникова Л.В. & Цыплаков А.А., 2016. "Агент-Ориентированная Многорегиональная Модель “Затраты-Выпуск” Российской Экономики," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 52(1), pages 112-131, январь.
  • Handle: RePEc:scn:cememm:v:52:y:2016:i:1:p:112-131
    Note: Новосибирск
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. Mandel, Antoine & Gintis, Herbert, 2014. "Stochastic stability in the Scarf economy," Mathematical Social Sciences, Elsevier, vol. 67(C), pages 44-49.
    2. Ricardo J. Caballero, 2010. "Macroeconomics after the Crisis: Time to Deal with the Pretense-of-Knowledge Syndrome," Journal of Economic Perspectives, American Economic Association, vol. 24(4), pages 85-102, Fall.
    3. Antoine Mandel, 2012. "Agent-based dynamics in the general equilibrium model," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00732823, HAL.
    4. Domenico Gatti & Edoardo Gaffeo & Mauro Gallegati, 2010. "Complex agent-based macroeconomics: a manifesto for a new paradigm," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 5(2), pages 111-135, December.
    5. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    6. Tesfatsion, Leigh, 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 16, pages 831-880, Elsevier.
    7. Dawid, H. & Harting, P. & Neugart, M., 2018. "Cohesion policy and inequality dynamics: Insights from a heterogeneous agents macroeconomic model," Journal of Economic Behavior & Organization, Elsevier, vol. 150(C), pages 220-255.
    8. Akhabbar, Amanar & Lallement, Jérôme, 2010. "Wassily Leontief and Léon Walras: the Production as a Circular Flow," MPRA Paper 30207, University Library of Munich, Germany.
    9. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
    10. Joseph E. Stiglitz, 2011. "Rethinking Macroeconomics: What Failed, And How To Repair It," Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 591-645, August.
    11. Lengnick, Matthias, 2013. "Agent-based macroeconomics: A baseline model," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 102-120.
    12. Follmer, Hans, 1974. "Random economies with many interacting agents," Journal of Mathematical Economics, Elsevier, vol. 1(1), pages 51-62, March.
    13. Herbert Gintis, 2007. "The Dynamics of General Equilibrium," Economic Journal, Royal Economic Society, vol. 117(523), pages 1280-1309, October.
    14. repec:hal:pseose:halshs-00732823 is not listed on IDEAS
    15. repec:hal:pseose:halshs-00977572 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Szymon Chudziak, 2025. "Studying economic complexity with agent-based models: advances, challenges and future perspectives," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 20(2), pages 413-449, April.
    2. Доможиров Д. А. & Ибрагимов Н. М. & Мельникова Л. В. & Цыплаков А. А., 2017. "Интеграция подхода «затраты – выпуск» в агент-ориентированное моделирование. Часть 1. Методологические основы. Integration of input–output approach into agent-based modeling. Part 1. Methodological principles," Мир экономики и управления // Вестник НГУ. Cерия: Cоциально-экономические науки, Socionet;Новосибирский государственный университет, vol. 17(1), pages 86-99.
    3. Shu-Heng Chen & Bin-Tzong Chie & Ying-Fang Kao & Ragupathy Venkatachalam, 2019. "Agent-Based Modeling of a Non-tâtonnement Process for the Scarf Economy: The Role of Learning," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 305-341, June.
    4. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046.
    5. Domozhirov D. A. & Ibragimov N. M. & Melnikova L. V. & Tsyplakov A. A., 2017. "Integration of input–output approach into agent-based modeling. Part 1. Methodological principles," World of economics and management / Vestnik NSU. Series: Social and Economics Sciences, Socionet, vol. 17(1), pages 86-99.
    6. Bernardo A. Furtado & Miguel A. Fuentes & Claudio J. Tessone, 2019. "Policy Modeling and Applications: State-of-the-Art and Perspectives," Complexity, Hindawi, vol. 2019, pages 1-11, February.
    7. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica [A simple spatial economic model: a proposal]," MPRA Paper 67005, University Library of Munich, Germany.
    8. repec:spo:wpmain:info:hdl:2441/53r60a8s3kup1vc9l564k4686 is not listed on IDEAS
    9. Mellár, Tamás & Hau, Orsolya & Sebestyén, Tamás, 2013. "Láthatóvá tehető-e a láthatatlan kéz? Egy ágensalapú piaci modell tapasztalatai [Can the invisible hand be rendered visible? Experiences of an agent-based market model]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 992-1024.
    10. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    11. Rengs, Bernhard & Scholz-Waeckerle, Manuel, 2017. "Consumption & Class in Evolutionary Macroeconomics," MPRA Paper 80021, University Library of Munich, Germany.
    12. Edoardo Gaffeo & Mauro Gallegati & Umberto Gostoli, 2015. "An agent-based “proof of principle” for Walrasian macroeconomic theory," Computational and Mathematical Organization Theory, Springer, vol. 21(2), pages 150-183, June.
    13. Luzius Meisser & C. Friedrich Kreuser, 2017. "An Agent-Based Simulation of the Stolper–Samuelson Effect," Computational Economics, Springer;Society for Computational Economics, vol. 50(4), pages 533-547, December.
    14. Tommaso Ciarli & André Lorentz & Marco Valente & Maria Savona, 2019. "Structural changes and growth regimes," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 119-176, March.
    15. Francis Tseng & Fei Liu & Bernardo Alves Furtado, 2017. "Humans of Simulated New York (HOSNY): an exploratory comprehensive model of city life," Papers 1703.05240, arXiv.org, revised Mar 2017.
    16. Glötzl, Erhard, 2022. "Macroeconomic General Constrained Dynamic models (GCD models)," MPRA Paper 112385, University Library of Munich, Germany.
    17. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis," Sciences Po Economics Publications (main) hal-01070338, HAL.
    18. Adão, Luiz F.S. & Silveira, Douglas & Ely, Regis A. & Cajueiro, Daniel O., 2022. "The impacts of interest rates on banks’ loan portfolio risk-taking," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    19. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Introduction - Improving the Toolbox: New Advances in Agent-Based and Computational Models," Sciences Po Economics Publications (main) hal-01053562, HAL.
    20. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models," Sciences Po Economics Publications (main) hal-03461262, HAL.
    21. Váry, Miklós, 2015. "Piaci alkalmazkodás ragadós árak mellett - Calvo-típusú ármerevség egy ágensalapú modellben [Market adjustment under sticky prices: the price rigidity of a Calvo type in an agent-based model]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 48-77.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:scn:cememm:v:52:y:2016:i:1:p:112-131. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sergei Parinov (email available below). General contact details of provider: http://www.cemi.rssi.ru/emm/home.htm .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.