• Developing economies
• Education
• Emigration
• Female
• OECD countries

One of the most discussed topics since years in the humanitarian field is without any doubt the one of migration. The main purpose of this thesis is to examine whether education can influence the choice to migrate from the developing countries to the developed economies. In particular, it analyses the position of women in the international migration, examining the causes that lead female population to leave their origin countries. To this end, I built a database comprising 195 countries and 26 years, from 1995 until 2020. My dependent variable is the women’s emigration to OECD countries, the independent one is the Gender Education Gap, while I consider 17 explanatory variables. To test the relationship between education and female migration, I run multivariate regression with the OLS specification.
Results from pooled ordinary least squares model, indicate that the independent variable of interest gender education gap does not help in explaining the variation of the variable female emigration. On the other hand, I find that total population, voice and accountability and female life expectancy have a positive significant and robust effect on the female migration while the dummy landlocked country a negative significant and robust effects in explaining the female emigration from developing countries to OECD economies.

One of the most discussed topics since years in the humanitarian field is without any doubt the one of migration. The main purpose of this thesis is to examine whether education can influence the choice to migrate from the developing countries to the developed economies. In particular, it analyses the position of women in the international migration, examining the causes that lead female population to leave their origin countries. To this end, I built a database comprising 195 countries and 26 years, from 1995 until 2020. My dependent variable is the women’s emigration to OECD countries, the independent one is the Gender Education Gap, while I consider 17 explanatory variables. To test the relationship between education and female migration, I run multivariate regression with the OLS specification. Results from pooled ordinary least squares model, indicate that the independent variable of interest gender education gap does not help in explaining the variation of the variable female emigration. On the other hand, I find that total population, voice and accountability and female life expectancy have a positive significant and robust effect on the female migration while the dummy landlocked country a negative significant and robust effects in explaining the female emigration from developing countries to OECD economies.