The experimental modeling for the analysis of the impact of international organizations on the national economy, in the context of the globalization

Abstract

Achieving macroeconomic forecasts on future developments of key national economy indicators is needed to anticipate future phenomena, with the main purpose of modeling being to mitigate risks. The regression model is an essential statistical and econometric tool for estimating future developments with the help of analyzing existing links and measuring correlations between the main macroeconomic indicators. The datasets to be used in macroeconomic forecasts need to be identified to ensure a real correlation between the levels of evolution of the indicators used. At the same time, special attention is paid to the study of the evolution of the indicators based on tabulated data and then to the graphical representation of the series. The scientific novelty of the obtained results results in: the development of the theoretical and methodological aspects regarding the expansion of globalization and its impact on the national economies; highlighting the correlations between the identified variables, elaborating a regression model for testing the importance given to globalization by the decision makers within the international organizations, in the conditions of the specific influences of the globalization phenomenon.