Comparing levels and patterns of internal migration across countries is a difficult task. Administrative geographies are non-uniform and migration can be defined in a number of different ways. These challenges have prohibited cross-national studies on demographic differentials in migration patterns. In this talk migration data from over 60 countries are used to provide a broad comparison of migration by three key demographic variables; gender, education and marital status. A weighted multi-level modelling framework is then proposed that controls for variations in administrative geographies and migration measurement in each county. Using this framework, gravity-type spatial interaction models are applied to explore heterogeneities in migration push- and pull-factors by population subgroups. The results provide a number of interesting explanations for differences in migration levels by education and marital status found in multiple countries and time periods.

Dr Guy Abel is an applied statistician at the Asian Demographic Research Institute and the Vienna Institute for Demography. Her is also a Professor in the School of Sociology and Political Science at Shanghai University. His research focuses on estimating migration and applying statistical methods to better forecast components of population change


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