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Sarah Miller, The Pennsylvania State University
Jennifer Glick, Pennsylvania State University
Educational opportunities are expanding globally with increasing participation in formal schooling among children and adolescents around the world. Yet disparities in schooling also persist and it is uncertain whether the same barriers reduce school enrollment for children across diverse contexts. Using a new data source, the Family Migration and Early Life Outcomes (FAMELO) project, this paper investigates the correlates of children’s school enrollment in rural and semi-rural settings in Mexico, Mozambique, and Nepal. Logistic regression models suggest that age, gender, and household wealth are all important factors for predicting school enrollment within each context. Results of the Blinder-Oaxaca decomposition suggest that understanding differences in school enrollment across sites requires attention to sample composition as well. The higher levels of school enrollment observed in the Mexican site when compared to Mozambique and Nepal are partially attributable to differences in household size and family composition. Children’s age, on the other hand, has a different role to play in school enrollment across the three settings independent of the age composition of each sample.
Keywords: Children and youth, Cross-country comparative analyses
Presented in Session 201. Patterns in Markers of Transitions and Associated Factors