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School drop out in Bangladesh: Insights using panel data
ARTICLE

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International Journal of Educational Development Volume 33, Number 3, ISSN 0738-0593 Publisher: Elsevier Ltd

Abstract

This paper examines the relative strength of different factors associated with school drop out using data collected between 2007 and 2009 in Bangladesh. A sample of 9046 children, aged 4–15, was selected across six districts for a household survey focusing on children's school access and experiences. Two groups of children were identified: those who were enrolled in school in both 2007 and 2009 and those who dropped out by 2009. Using a multivariate logit model, results show age and gender, together with financial constraints, such as lack of income and school expenditure, as the top predictors of school drop out. Two other important predictors are lack of parental support for children's school work and school absenteeism. This paper identifies some possible interventions that could reduce school drop out. These include campaigns to reduce late entry and overage enrolment, reductions in direct costs of schooling, and more support for low achieving children to compensate for lack of educational support at home.

Citation

Sabates, R., Hossain, A. & Lewin, K.M. (2013). School drop out in Bangladesh: Insights using panel data. International Journal of Educational Development, 33(3), 225-232. Elsevier Ltd. Retrieved December 15, 2019 from .

This record was imported from International Journal of Educational Development on March 1, 2019. International Journal of Educational Development is a publication of Elsevier.

Full text is availabe on Science Direct: http://dx.doi.org/10.1016/j.ijedudev.2012.09.007

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