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zbMATH Open
Article . 2023
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Mathematical Modelling Economy

Mathematical modelling economy
Authors: Mokhov, V.G.;

Mathematical Modelling Economy

Abstract

Summary: The article presents an overview of the main methods of economic modelling used in scientific research over the past twenty years. This overview does not claim to cover all areas, methods and models used in scientific research in the field of economics, since it is impossible to do within a single article. We consider mathematical modelling of only two branches of economic theory: macroeconomics and microeconomics. At the same time, we present no literature review of methods and models of research in the section of microeconomics, which take place in the tools of scientific research, but were described in the section of macroeconomics. We believe that this review is useful to scientists engaged in the indirect study of economic phenomena and processes.

Country
Russian Federation
Keywords

УДК 330.4, modelling, sources, model, Research exposition (monographs, survey articles) pertaining to game theory, economics, and finance, review, Fundamental topics (basic mathematics, methodology; applicable to economics in general), моделирование, Mathematical modeling or simulation for problems pertaining to game theory, economics, and finance, macroeconomics, microeconomics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold