Gender and educational differences in internal migration

Guy J. Abel, Asian Demographic Research Institute, Shanghai University
Aude Bernard, University of Queensland
Raya Muttarak, Wittgenstein Centre for Demography and Global Human Capital, International Institute for Applied Systems Analysis (IIASA)

Age, gender and education are the three largest sources of observable heterogeneity in the study of population. Understanding these demographic differentials are essential for projecting future population sizes and compositions (Lutz 2014). Exploiting the harmonized census records in the Integrated Public Use Microdata Series for 58 countries over the period 1960-2011, we first describe migration intensity by gender and education. Subsequently, we fit a series of weighted multilevel gravity-type spatial interaction model. We utilize a range of variables to study differences between migration of population subgroups (i.e. gender and education) from country specific contextual factors as well as regional ``push'' and ``pull'' factors. We find distinct patterns in the migration levels through different education groups, where for example, more educated migrants are associated with longer distance moves and away from older regions. Within education levels variations by gender are also apparent. For example, males at lower education levels are attracted to areas with better job opportunities than their female counterparts.

Keywords: Internal migration, Cross-country comparative analyses, Human capital and labour markets

See paper.

  Presented in Session 45. Migration: Diversity of contexts