Methodology of Prediction Migration Attitudes of Russian Youth Based on Digital Footprints

The article proposes a methodology to predict migration attitudes of young people based on digital footprints. Initially, the author systematizes the major modeling methods that can be used to create this methodology. Next, the author details forecasting methodology based on static panel data models (regression analysis). The methodology allows to identify key dimensions of information flows affecting migration attitudes of youth people, and to generate scenario forecasts for the development of youth migration attitudes. The future task is to test the methodology on specific datasets.