Везде
AGENT-BASED MULTIREGIONAL INPUT-OUTPUT MODEL OF THE RUSSIAN ECONOMY
Table of contents
Annotation Estimate Publication content
References Comments
Share
QR
Metrics
AGENT-BASED MULTIREGIONAL INPUT-OUTPUT MODEL OF THE RUSSIAN ECONOMY
Annotation
PII
S042473880000616-6-1
Publication type
Article
Status
Published
Authors
Viktor Suslov  Dmitry Domozhirov Naimjon Ibragimov Vitaly Kostin Larisa Melnikova Alexander Tsyplakov
Edition
Volume 52 Issue 1
Pages
112-131
Abstract
The paper for the first time presents a concept and a pilot version of an agent-based multiregional input-output model (ABMIOM) of the Russian economy. In this model independent economic agents interact in the space in the conditions of bounded information, which corresponds to the modern out-of-equilibrium paradigm of economic modeling. The model presented differs of some existing agent-based models as follows: 1) it presents the whole economy rather than a specific segment of the market; 2) it takes in account the geographic locations of agents explicitly; 3) it is compatible with an existing normative model (multiregional input-output model) and is based on real data. Special attention is paid to the evolution of the equilibrium concept in the modeling of economic systems, especially, of spatial economies, to the algorithm of the search of equilibrium and to possibilities of studying it. Some presented results of experimental calculations allow to analyze the convergence of the model to the state of quasi-equilibrium.
Keywords
agent-based models, interaction of agents, economic space, equilibrium
Date of publication
01.01.2016
Number of purchasers
1
Views
914
Readers community rating
0.0 (0 votes)
Cite   Download pdf

References



Additional sources and materials

Vasil'ev V.A., Suslov V.I. (2010). Ravnovesie Ehdzhvorta v odnoj modeli mezhregional'nykh ehkonomicheskikh otnoshenij//Sibirskij zhurnal industrial'noj matematiki. T. 13. № 1. S. 18-33.                  


Vasil'ev V.A., Suslov V.I. (2009). O neblokiruemykh sostoyaniyakh mnogoregional'nykh ehkonomicheskikh sistem//Sibirskij zhurnal industrial'noj matematiki. T. 12. № 4. S. 23-34.           


Gamidov T.G., Domozhirov D.A., Ibragimov N.M. (2013). Ravnovesnye sostoyaniya otkrytoj mezhregional'noj sistemy, porozhdennoj optimizatsionnoj mezhregional'noj mezhotraslevoj model'yu // Vestnik Novosibirskogo


gosudarstvennogo universiteta. Seriya: Sotsial'no-ehkonomicheskie nauki. T. 13. Vyp. 3. S. 81-94.          


Grassini M. (2009). Problemy primeneniya vychislimykh modelej obschego ravnovesiya dlya prognozirovaniya ehkonomicheskoj dinamiki//Problemy prognozirovaniya. № 2. S. 30-48.        


Ershov Yu.S., Mel'nikova L.V., Suslov V.I. (2009). Praktika primeneniya optimizatsionnykh mul'tiregional'nykh mezhotraslevykh modelej v strategicheskikh prognozakh rossijskoj ehkonomiki // Vestnik Novosibirskogo


gosudarstvennogo universiteta. Seriya: Sotsial'no-ehkonomicheskie nauki. T. 9. Vyp. 4. S. 9-23.         


Makarov V.L. (1982). Ehkonomicheskoe ravnovesie: suschestvovanie i ehkstremal'noe svojstvo//Itogi nauki i tekhniki. Seriya: Sovremennye problemy matematiki. T. 19. S. 23-58.            


Makarov V.L., Bakhtizin A.R. (2013). Sotsial'noe modelirovanie -novyj komp'yuternyj proryv (agent-orientirovannye modeli). M.: Ehkonomika. Akhabbar A., Lallement J. (2010). Wassily Leontief and Leon Walras: the Production as a


Circular Flow. //MPRA Paper. Rezhim dostupa: http://mpra.ub.uni-muenchen.de/30207, svobodnyj. Zagl. s ehkrana. Yaz. angl. (data obrascheniya: noyabr' 2014 g.).     


Caballero R. (2010). Macroeconomics after the Crisis: Time to Deal with the Pretense-of-Knowledge Syndrome//Journal of Economic Perspectives. Vol. 24. No. 4. R. 85-102.               


Dawid H., Gemkow S., Harting P., Hoog S. van der, Neugart M. (2014). Agent-Based Macroeconomic Modeling and Policy Analysis: The Eurace@Unibi Model. //Bielefeld Working Papers in Economics and Management No. 1-2014.


Rezhim dostupa: http://ssrn.com/abstract=2384391, svobodnyj. Zagl. s ehkrana. Yaz. angl. (data obrascheniya: noyabr' 2014 g.).             


Dawid H., Harting P., Neugart M. (2013). Cohesion Policy and Inequality Dynamics: Insights from a Heterogeneous Agents Macroeconomic Model. //Bielefeld Working Papers in Economics and Management No. 26-2013. Rezhim dostupa: http://ssrn.com/abstract=2369187, svobodnyj. Zagl s ehkrana. Yaz. angl. (data obrascheniya: noyabr' 2012 g.).


Follmer H. (1974). Random Economies with Many Interacting Agents//Journal of Mathematical Economics. Vol. 1(1). R. 51-62.             


Gallegati M., Richiardi M.G. (2011). Agent Based Models in Economics and Complexity. In: “Complex Systems in Finance and Econometrics”. N.Y.: Springer.        


Gatti D.D. (2013). Agent-Based Macroeconomics: Methods, Myths and Models. //First Bordeaux Workshop on Agent-Based Macroeconomics. Rezhim dostupa: http://yildizoglu.x10.mx/macroabm1/docs/delli-gatti-slides.pdf, svobodnyj. Zagl. s ehkrana. Yaz. angl. (data obrascheniya: noyabr' 2014 g.).          


Gatti D.D., Gaffeo E., Gallegati M. (2010). Complex Agent-Based Macroeconomics: a Manifesto for a New Paradigm//Journal of Economic Interaction and Coordination. Vol. 5(2). R. 111-135.       


Gintis H. (2007). The Dynamics of General Equilibrium//Economic Journal. Vol. 117. Issue 523. R. 1280-1309.     


Grazzini J., Assenza T., Gatti D.D. (2012). The Macroeconomic Agent Based Model (MABM). Towards Mark II. Rezhim dostupa: http://ec.europa.eu/information_society/apps/projects/logos/1/288501/080/deliverables/001_CRISISD32TABM2.pdf, svobodnyj. Zagl. s ehkrana. Yaz. angl. (data obrascheniya: noyabr' 2012 g.).          


Grimm V., Berger U., Bastiansen F., Eliassen S., Ginot V., Giske J., Goss-Custard J., Grand T., Heinz S.K., Huse G., Huth A., Jepsen J.U., J0rgensen C., Mooij W.M., Mflller B., Pe'er G., Piou C., Railsback S.F., Robbins A.M., Robbins M.M.,


Rossmanith E., Rflger N., Strand E., Souissi S., Stillman R. A., Vab0 R., Visser U., DeAngelis D.L. (2006). A Standard Protocol for Describing Individual-Based and Agent-Based Models//Ecological Modelling. Vol. 198. Issue 1-2. R. 115-126.      


Krugman P. (2009). How Did Economists Get It So Wrong?//The New York Times. September 6. New York edition. R. MM36.


Lengnick M. (2013). Agent-Based Macroeconomics: A Baseline Model//Journal of Economic Behavior & Organization. Vol. 86. R. 102-120.        


Mandel A. (2012). Agent-Based Dynamics in the General Equilibrium Model//Complexity Economics. Vol. 1. No. 1. R. 105-121.             


Mandel A., Gintis H. (2014). Stochastic stability in the Scarf economy//Mathematical Social Sciences. Vol. 67. R. 44-49. 


Ostrom T. (1988). Computer Simulation: the Third Symbol System//Journal of Experimental Social Psychology. Vol. 24. Issue 5. R. 381-392.        


Railsback S.F., Grimm V. (2011). Agent-Based and Individual-Based Modeling: A Practical Introduction. Princeton: Princeton University Press. R. 35-41.      


Robbins L.Ch. (1932). An Essay on the Nature & Significance of Economic Science. London: Macmillan. P. 15.     


Schelling T. (1971). Dynamic Models of Segregation//Journal of Mathematical Sociology. Vol. 1. Issue 2. R. 143-186.       


Stanilov K. (2012). Space in Agent-Based Models. In: “Agent-Based Models of Geographical Systems”. Dordrecht, N.Y.: Springer Netherlands.  


Starret D. (1978). Market Allocations of Location Choice in a Model with Free Mobility // Journal of Economic Theory. 1978. Vol. 17. Issue 1. R. 21-37.


Stiglitz J. (2011). Rethinking Macroeconomics: What Failed and How to Repair It//Journal of the European Economic Association. Vol. 9. Issue 4. R. 591-645. 


Tesfatsion L. (2006). Agent-Based Computational Economics: A Constructive Approach to Economic Theory. In: “Handbook of Computational Economics”. Vol. 2: Agent-Based Computational Economics. Amsterdam: North-Holland/Elsevier.            


Wolf S., Fflrst S., Mandel A., Lass W., Lincke D., Pablo-Marti F., Jaeger C. (2013). A Multi-Agent Model of Several Economic Regions//Environmental Modelling & Software. Vol. 44. R. 25-43.

Comments

No posts found

Write a review
Translate