effects of seasonal migration on school drop-out migration in tharparkar district, sindh, pakistan: a logistic regression analysis

The purpose of this study is to assess the effects of seasonal migration on child schooling especially in context of drop out in district tharparkar, which has the highest drop-out rate among other districts of sindh. the sample was selected from villages of district tharparkar. logit regression model was applied to analyse the collected data. study results illustrated that, seasonal migration, beside other characteristics such as; family size, family having land, girl child, boy gild, child work, children never go to school, hospital distance, city distance, metaled road distance, children in primary school, children in middle school, children in high school has high impact on school dropout ratio. therefore, to address the school dropout issue, government and policy makers must work on seasonal migration(s) in district tharparkar and create economic resources and opportunities for these migratory families. once families have enough resources at their villages they will have no reason to migrate or relocate unnecessarily. when families are at their own villages for whole year, it will insure children’s presence at schools that will ultimately reduce the dropout ratio in schools.