Approximate analytical solution of the inflation kinetic model
Abstract
Purpose and subject of researchThe aim of the article is to highlight the mathematical formalization basic principles of the approximate inflation kinetic models solutions, the exact solutions of which are obtained only by numerical integration.Research methodologyThe basis in achieving this goal is the detailed analysis of the numerical solutions integral curves, which allowed to identify and formulate changes in the behavior of numerical solution, and caused the changes in the model parameters values.Value resultsAn approach described in the article expands the range of possibilities in the modeling of inflation processes, namely: the prediction of their quantitative level for particular conditions; the creation of alternative development scenarios; the definition of anti-inflation measures necessary to achieve the optimal rate of inflation for the economy. Approximate solutions in the analytical form based on exponential functions are offered. The estimation error of the abovementioned solutions is implemented. The formulas of the peak significance computation of the inflationary surge, which took place in the result of money supply increase, are obtained.ConclusionsThe approximate analytical solutions of the model are made, that facilitates the transition to the next quality level of the inflation processes development within the inflation kinetic model.Key words: kinetic models, modeling of inflation processes, money supply increase, approximate analytical solution.References
Vasylieva, A.T., Hostynets, V.S. (2009), “Pro znakhodzhennia koefitsiientiv kinetychnoi modeli infliatsii” [On the coefficients finding of the inflation kinetic model], Economic bulletin of National technical university of Ukraine «Kyiv polytechnical institute», no.6, pp.417-421.
Vitlinskyi, V.V., Koliada, Yu.V., Kravchenko, T.V. and Trokhanovskyi, V.I. (2013), Adaptyvni modeli v ekonomitsi [Adaptive models in economics], pain [electronic resource], Kyiv National Economic University named after Vadym Getman, Ukraine.
Hordieiev, H.H. (2012), “Investigation of nonlinear models of economic dynamics”, Zovnishnia torhivlia: ekonomika, finansy, pravo [Foreign trade: business, finance, law], no. 2, pp. 133-139.
Koliada, Yu.V., Perten, S.I. (2011), “Mathematical modeling of inflation in Ukraine”, Economic cybernetics, no.1-3, pp.16-25.
Koliada, Yu.V., Perten, S.I. (2007), “The synergetic effect of the inflationary process”, Proc. Int. Sch. - Symp. “Analysis, modeling, management, development of economic systems”, DEN, Simferopol, pp. 93-99.
Koliada, Yu.V. (2010), “Fazovi ta parametrychni portrety typovykh matematychnykh modelei neliniinoi ekonomichnoi dynamiky” [Phase and parametric portraits of the typical nonlinear mathematical models of economic dynamics], Modeliuvannia ta informatsiini systemy v ekonomitsi: Zb. nauk. Prats [Modelling and information systems in economics], Kyiv National Economic University named after Vadym Getman, vol. 82, pp.74-90.
Nakoryakov, V.E., Gasenko, V.G. (2004), “A kinetic model of inflation”, Economics and Mathematical Methods, vol.40, no.1, pp.129-134.
Novozhylova, M.V., Koiuda, P.N. and Chub, I.A. (2005) Modeliuvannia ekonomichnoi dynamiky [Modeling of economic dynamics], Kharkiv National University of Construction and Architecture, Ukraine.
Osechkina, T.A., Postanogova, E.E. (2012) “Mathematical model of an assessment of inflation”, Prikladnaja matematika i mehanika [Applied mathematics and mechanics], Perm National Research Politechnic University, pp. 148-158
Tabachnikov, Ya.A. (2008) “Kineticheskaja model’ infljacii, uchityvajuwaja infljacionnye ozhidanija” [Kinetic model of inflation, taking into account the inflation expectations], Applied Statistics. Actuarial and Financial Mathematics, no.1-2, pp. 92–100.
Vytlynskyi, V.V., Kolyada, Yu.V., Perten, S.Y. (2009), “Dynamics of the risk by means of watching economic indexes rates”, Modeling and Analysis of Safety and Risk in Complex Systems: Proceeding of the Ninth International Scientific School, Saint-Petersburg, SUAI, pp. 99-104p
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