Determining the amount of shadow economy on the basis of nonlinear dynamics models

Yuriy Vasylyovych Kolyada, Kateryna Anatoliyivna Semashko


Abstract


Shadow economy phenomenon is observed in many countries regardless of their social structure. The shadow economy (SE) parasites on the body or official legal economy (LE), which negatively affects the state budget. Therefore, the study of interaction between LE and SE is an urgent problem nowadays, especially for our country.

Having used the planar dynamic model which is described as  a system of two nonlinear ordinary differential equations, which is a characteristics for the economic state of society where coexist official and illegal economy, it has been received the formula of the shadow economy. The conditions for the coefficients of the dynamic model are formulated. On their basis a growth of the legal economy or a recession of economy occurs and there is a reduction of the shadow economy.

The result is convenient for operational (due to manual simulation) prognosis in arbitrary time t. The quality of prediction depends on the coefficients of the mathematical model, initial conditions and scope of the legal economy. Qualitative and quantitative analysis (integral curves, phase portraits) of behavior of dynamic models provide scenarios of possible developments.

The analytical results of economic and mathematical model allow to calculate the size of the shadow economy quicklier; predict the level of shadow economy, which is determined by the coefficients of nonlinear dynamic models, initial conditions, taking into account the legal sector of the economy.


Keywords


dynamic models; computer modeling; legal and shadow economy; operational forecasting

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References


Schneider, F. G., Buehn, A. & Montenegro, C. E. (2010). Shadow Economies All Over the World: New Estimates for 162 Countries from 1999 to 2007. World Bank Policy Research Working Paper Series.

Skolotyanyy, Y. (2012). Hidden Resource: how to estimate the volume shadow? Weekly Mirror, 28.

Bazylevych, V. & Mazur I. (2004). Methodological Aspects of the shadow economy. Economy of Ukraine, 8, 41.

Borodyuk, V. (1997). Assessment of the shadow economy in Ukraine and methods of calculation of the volume. - Kyiv.

Cherevko, A., Romanov, E. (2004). The mechanism of prevention of shadow economic activities in the financial and monetary relations. Proceedings of the National Bank of Ukraine, 3, 21.

Kolyada, Y. V. (2011). Adaptive modeling paradigm of economic dynamics. – Kyiv: KNEU.

Kolyada, Y. V., Semashko, K. A. (2012). Computer interaction scenarios and legal shadow economy society, 94-97. Trends sustainable development of the economic system of Ukraine: economic materials research online conference.


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Science Works Journal "Ekonomichnyy analiz"

ISSN 1993-0259 (Print)  ISSN 2219-4649 (Online) DOI: 10.35774/econa


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