The long-term empirical macro model of world dynamics

Makhov S.A.
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The work discusses the methodological basis and problems of modeling of world dynamics. Outlines approaches to the construction of a new simulation model of global development and the results of the simulation. The basis of the model building is laid empirical approach which based on the statistical analysis of the main socio-economic indicators. On the basis of this analysis identified the main variables. Dynamic equations (in continuous differential form) were written for these variables. Dependencies between variables were selected based on the dynamics of indicators in the past and on the basis of expert assessments, while econometric techniques were used, based on regression analysis. Calculations have been performed for the resulting dynamic equations system, the results are presented in the form of a trajectories beam for those indicators that are directly observable, and for which statistics are available. Thus, it is possible to assess the scatter of the trajectories and understand the predictive capability of this model.

Keywords: world dynamics, regression analysis, differential equations
Citation in English: Makhov S.A. The long-term empirical macro model of world dynamics // Computer Research and Modeling, 2013, vol. 5, no. 5, pp. 883-891
Citation in English: Makhov S.A. The long-term empirical macro model of world dynamics // Computer Research and Modeling, 2013, vol. 5, no. 5, pp. 883-891
DOI: 10.20537/2076-7633-2013-5-5-883-891
URL: http://crm-en.ics.org.ru/journal/article/2090/
Creative Commons License This work is licensed under a Creative Commons Attribution-NoDerivs 3.0 Unported License.
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