Some approaches to small open economy modeling.

      Аннотация: Over the last decades, economic models utilization has substantially increased both in decision making and forecasting. Static and dynamic; deterministic and stochastic models have been utilized at the economy level as a hole, industry level, and sector level, especially in banking sector. In this book, static and dynamic optimization models with limitations on energy resources and input-output balance restrictions were constructed and solved for diverse scenarios data. General equilibrium model was formulated and its coefficients were estimated with the help of social accounting matrix constructed using statistic data for one base year. For one specified year, direct investment expenditure coefficients matrix has been calculated, Markov chain was elaborated taking advantages of the known input-output table data for year in consideration. Data base of the one academic institute wages have been formed for evaluating earnings of the Moldovan budget employees: women and men separately. Growth model liable to budget policy uncertainty was formulated and evaluated.

Ключевые слова: Mathematical modeling of economic processes, Markov Chain, static and dynamic optimization, data base, data analyses.