This paper examines the educational status of temporary migrant children in China, using a unique data set specifically designed to study this population across a wide range of migration destinations. The determinants of migrant children's schooling at both the micro-level (child- and family-level) and macro-level (city-level) were examined using multiple measures of schooling to provide a more complete picture. Emphasis has been placed on gender gap and city-level variations. Results show that household composition, family size and economic conditions are all strong predictors of migrant children's schooling. Based on contrasting children pairs within households using fixed-effect models, the study found no gender gap in migrant children's schooling, despite the persistent son preference in the rural areas where migrants came from. Importantly, variations across city-specific contexts are evident: migrant children in more coastal regions and in destinations with high levels of development and high concentration of migrants are especially disadvantaged, presumably due to the more restrictive migration controls in such areas. Results are shown to be robust to outliers, potential confounders as well as different proxy measures of migration controls.

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education migration determinant rural area China Eurasia Far East Child Welfare economic conditions data set population migration gender Asia