Regression models in evaluation of international migration factors
Michigan University, Ann Arbor, Michigan, USA email@example.com
National Research University, Higher school of economics (St.-Petersburg), Russia firstname.lastname@example.org
National research university, Higher school of economics (St.-Petersburg), Russia email@example.com
Using regression models, country-related factors are assessed impacting to a marked degree migrant influx to accepting countries. Significant impact is confirmed with regard to non-economic factors (especially education) in world-wide migration processes. Empirically, the study is built on the UNO global migration data base and adopted matrix of two-ways migration flows. The study permits to state that migration stems not only from difficult life circumstances but also from life success.