The article analyzes some components of the shadow economy using the example of modern Ukraine. The purpose of article is to predict the behavior of the economically active population when choosing an employment option using an agent-based simulation model. The work uses the methods of theoretical generalization, retrospective analysis – to study the theoretical aspects of socio-economic relations at the enterprise; system analysis, agent-based modeling – to develop a decision-making model in the labor market. The proposed algorithm of taxpayer behavior is based on studies of domestic and foreign scientists in the field of shadow economy and informal employment. Particular attention is paid to the national economic mentality as an important factor which determines the trajectory of the country’s development. As a substantiation of the subject’s behavior on the labor market, it is proposed to use the model of decision-making by a taxpayer, developed by M. Ellingham. When constructing an algorithm for the behavior of an employee, the demographic situation in Ukraine, the causes and consequences of labor migration, and the mental characteristics of the population were analyzed. The novelty of the proposed model lies in the fact that it takes into account the dependence of the taxpayer’s utility curve on the taxpayer’s age. The developed model was applied to forecasting of the demographic situation in Ukraine, and to estimation of the population participation in the informal economy sector.
Agent-Based Model for Research of Fiscal Incentives for Reducing the Shadow Economy
