Investigation of determinants of net migration using variable selection algorithms

Abstract

Net migration is an important issue concerning all the world. Especially developed countries consider about migration movement and struggle to overcome this problem. There are also some social and economic factors that trigger net migration. In this article we investigate the determinants of net migration for the world by using regression modeling and variable selection techniques. We used differential evolution algorithm and four well-known information criteria to select related factors with the net migration. We consider 26 global factors and reduced the variable set by performing variable selection. We evaluated the common factors that affect the net migration which obtained from selected regression models. Finally we concluded the remarks for the global determinant of net migration flow.