Regression models in evaluation of international migration factors
Inglehardt R.F.
Michigan University, Ann Arbor, Michigan, USA rfi@umich.edu
Ponarin E.D.
National Research University, Higher school of economics (St.-Petersburg), Russia ponarin13@gmail.com
Ravlik M.V.
National research university, Higher school of economics (St.-Petersburg), Russia mariayaravlik@gmail.com
Inglehardt R.F., Ponarin E.D., Ravlik M.V. Regression models in evaluation of international migration factors. Sotsiologicheskie issledovaniya [Sociological Studies]. 2014. No 11. P. 22-31
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.