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Effect of child marriage on girls' school dropout in Nepal: Analysis of data from the Multiple Indicator Cluster Survey 2014

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  • Kazutaka Sekine
  • Marian Ellen Hodgkin

Abstract

School dropout and child marriage are interrelated outcomes that have an enormous impact on adolescent girls. However, the literature reveals gaps in the empirical evidence on the link between child marriage and the dropout of girls from school. This study identifies the ‘tipping point’ school grades in Nepal when the risk of dropout due to marriage is highest, measures the effect of child marriage on girls’ school dropout rates, and assesses associated risk factors. Weighted percentages were calculated to examine the grades at highest risk and the distribution of reasons for discontinuing school. Using the Nepal Multiple Indicator Cluster Survey (MICS) 2014 data, we estimated the effect of marriage on school attendance and dropout among girls aged 15–17 by constructing logistic regression models. A multivariate logistic regression model was used to assess risk factors of school dropout due to child marriage. It was found that early marriage is the most common reason given for leaving school. Overall, the risk of school dropout due to marriage heightens after girls complete the fifth or sixth grade. The risk of girls’ dropping out peaks in the seventh and eighth grades and remains noteworthy in the ninth and tenth grades. Married girls in Nepal are 10 times more likely to drop out than their unmarried peers. Little or no education of the household head, belonging to the Kirat religion, and membership of a traditionally disadvantaged social class each elevate the risk of school dropout due to early marriage. The findings underscore the need to delay girl’s marriage so as to reduce girls’ school dropout in Nepal. School-based programmes aimed at preventing child marriage should target girls from the fifth grade because they are at increased risk of dropping out, as well as prioritizing girls from disadvantaged groups.

Suggested Citation

  • Kazutaka Sekine & Marian Ellen Hodgkin, 2017. "Effect of child marriage on girls' school dropout in Nepal: Analysis of data from the Multiple Indicator Cluster Survey 2014," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-13, July.
  • Handle: RePEc:plo:pone00:0180176
    DOI: 10.1371/journal.pone.0180176
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    References listed on IDEAS

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    1. United Nations, 2016. "The Sustainable Development Goals 2016," Working Papers id:11456, eSocialSciences.
    2. Ambrus, Attila & Field, Erica, 2008. "Early Marriage, Age of Menarche, and Female Schooling Attainment in Bangladesh," Scholarly Articles 3200264, Harvard University Department of Economics.
    3. Peter Glick & Christopher Handy & David E. Sahn, 2015. "Schooling, marriage, and age at first birth in Madagascar," Population Studies, Taylor & Francis Journals, vol. 69(2), pages 219-236, July.
    4. Jennifer McCleary-Sills & Lucia Hanmer & Jennifer Parsons & Jeni Klugman, 2015. "Child Marriage: A Critical Barrier to Girls' Schooling and Gender Equality in Education," The Review of Faith & International Affairs, Taylor & Francis Journals, vol. 13(3), pages 69-80, September.
    5. Erica Field & Attila Ambrus, 2008. "Early Marriage, Age of Menarche, and Female Schooling Attainment in Bangladesh," Journal of Political Economy, University of Chicago Press, vol. 116(5), pages 881-930, October.
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    Cited by:

    1. Esther Miedema & Winny Koster & Nicky Pouw & Philippe Meyer & Albena Sotirova, 2020. "The Struggle for Public Recognition: Understanding Early Marriage through the Lens of Honour and Shame in Six Countries in South Asia and West Africa," Progress in Development Studies, , vol. 20(4), pages 328-346, October.
    2. S Daarwin Subramanee & Kingsley Agho & Josyula Lakshmi & Md. Nazmul Huda & Rohina Joshi & Blessing Akombi-Inyang, 2022. "Child Marriage in South Asia: A Systematic Review," IJERPH, MDPI, vol. 19(22), pages 1-13, November.
    3. Hazal Colak Oz & Çiçek Güven & Gonzalo Nápoles, 2023. "School dropout prediction and feature importance exploration in Malawi using household panel data: machine learning approach," Journal of Computational Social Science, Springer, vol. 6(1), pages 245-287, April.
    4. Dietrich, Stephan & Meysonnat, Aline & Rosales, Francisco & Cebotari, Victor & Gassmann, Franziska, 2021. "Economic development, weather shocks and child marriage in South Asia: A machine learning approach," MERIT Working Papers 2021-034, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Pintu Paul, 2020. "Child Marriage Among Girls in India: Prevalence, Trends and Socio-Economic Correlates," Indian Journal of Human Development, , vol. 14(2), pages 304-319, August.
    6. Rafi Amir-ud-Din & Hafiz Zahid Mahmood & Faisal Abbas & Verda Salman & Sameen Zafar, 2022. "Leaving studies because of lack of interest: an analysis of the risk factors of school dropouts in Pakistan," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3189-3214, October.

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