Factors Influencing Primary School Dropout in Punjab, Pakistan: Results from MICS 2017-18

Mohammad Vaqas Ali, Khizra Nasir, Jawad Tariq, Yusra Sajid
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Abstract

The study focused on the determinants of primary school dropout in the province of Punjab in Pakistan. The study used the MICS (2017-18) dataset. Out of the MICS (2017-2018) data set, a total of 11621 cases were selected. The selected cases were all between the ages of 5 - 17 years, who were enrolled in a primary school in the year prior to data collection. Primary school dropout was the main dependent variable of the study. Out of the 11612 selected children that were enrolled in primary school in the year prior to data collection a total of 274 (2.4%) children had dropped out. Multiple logistic regression were performed to gauge the relationship between primary school dropout and the various demographic, economic, household level and individual level variables included in the study. The study revealed that some demographic, economic and individual level variables significantly increased the odds of primary school dropout. Specifically, children from urban areas (demographic) or poor families (economic) had a significantly higher likelihood of dropping out. There is a need for a comprehensive policy that provides a holistic strategy for eliminating the incidence of school dropout at the primary level. This strategy should involve multiple stakeholders including the government, civil society, international organizations and most importantly, the communities.
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影响巴基斯坦旁遮普省小学辍学的因素:2017-18 年多指标类集调查的结果
研究重点是巴基斯坦旁遮普省小学辍学的决定因素。研究使用了多指标类集调查(2017-18 年)数据集。在多指标类集调查(2017-2018 年)数据集中,共选取了 11621 个案例。所选病例的年龄均在 5-17 岁之间,在数据收集前一年在小学就读。小学辍学率是本研究的主要因变量。在数据收集前一年入读小学的 11612 名被选儿童中,共有 274 名(2.4%)儿童辍学。我们进行了多元逻辑回归,以衡量小学辍学与研究中的各种人口、经济、家庭和个人变量之间的关系。研究显示,一些人口、经济和个人层面的变量会显著增加小学辍学的几率。具体来说,来自城市地区(人口)或贫困家庭(经济)的儿童辍学的可能性明显更高。有必要制定一项综合政策,为消除小学辍学现象提供整体战略。这一战略应涉及多个利益相关方,包括政府、民间社会、国际组织,最重要的是社区。
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