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

ID of the Article: 5473


For citation:

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




Abstract

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.


Keywords
regression analysis; push & pull factors; two-way migration flows; per capita migrants number; migrants’ educational levels
Content No 11, 2014