Econophysics, or the theory of construction of models using physical assumptions in economics, already has a long history. For this purpose, the gravitational law of attraction was probably first used in the modeling of trade models between two subjects. The laws of gravitational and electrostatic attraction were then used to study migration between countries. The article adopts two new models (containing dummy variables) of migration from Georgia to leading European countries and USA using multivariate linear regression. They are based on the Lewer and van der Berg generalized gravitational model of migration between countries of The Organisation for Economic Co-operation and Development (OECD). Their model contains dummy parameters of border, the proximity of the state languages and colonial links in past. In this article we introduce a new dummy parameter «religion» of the model of migration from Georgia; It is hypothesized that migration between neighbor countries may not be analogous to the Newton›s law of universal gravitation. In our view, it would be more appropriate to use other physical assumptions to construct such a migration model, for example a mathematical model of the law of equalization of temperatures in an area with different temperatures at different points.
Due to economic, social, political and other differences, different sectors of society are subject to different laws of distribution. Among these laws are Pareto distribution, the normal distribution, the lognormal distribution, and so on. It is noteworthy that the higher, richer stratum of a society more often depends on the Pareto distribution. As for the poor and middle class, there was an attempt to build their model using a normal distribution. But later it turned out that more accurate results are provided by a lognormal distribution. The article attempts to build a model of the distribution of the upper layers of the population of Georgia in terms of per capita GDP consumption (according to the World Bank) using Pareto distribution. As for the other layers, due to the lack of data in GeoStat, when trying to build a model using a lognormal distribution, data on the population’s declared income are used, obtained from the Revenue Service of the Ministry of Finance of Georgia, hoping that this data correlates with the population distribution by GDP consumption.
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