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A big-push community intervention reduced rates of child marriage by 80%

  • Child Marriage (UNICEF, 2022).

  • State of the Nigerian Girl Report: An Incisive Diagnosis of Child Marriage in Nigeria (Save the Children, 2021).

  • Asadullah, M. N. & Wahhaj, Z. Early marriage, social networks and the transmission of norms. Economica 86, 801–831 (2018).

    Article 

    Google Scholar
     

  • Field, E. & Ambrus, A. Early marriage, age of menarche, and female schooling attainment in Bangladesh. J. Political Econ. 116, 881–930 (2008).

    Article 

    Google Scholar
     

  • Hicks, J. & Hicks, D. L. Lucky late bloomers? Consequences of delayed marriage for women in rural western Kenya. Preprint at SSRN https://doi.org/10.2139/ssrn.2622189 (2019).

  • We the Children: End-Decade Review of the Follow-Up to the World Summit for Children (United Nations, 2001).

  • Parsons, J. et al. Economic impacts of child marriage: a review of the literature. Rev. Faith Intl Affairs 13, 12–22 (2015).

    Article 

    Google Scholar
     

  • Schaffnit, S. B., Wamoyi, J., Urassa, M., Dardoumpa, M. & Lawson, D. W. When marriage is the best available option: perceptions of opportunity and risk in female adolescence in Tanzania. Glob. Publ. Health 16, 1820–1833 (2021).

    Article 

    Google Scholar
     

  • Obstetric Fistula Needs Assessment Report: Findings From Nine African Countries (Engender Health, 2003).

  • Raj, A. When the mother is a child: the impact of child marriage on the health and human rights of girls. Arch. Dis. Child. 95, 931–935 (2010).

    Article 
    PubMed 

    Google Scholar
     

  • Chari, A. V., Heath, R., Maertens, A. & Fatima, F. The causal effect of maternal age at marriage on child wellbeing: evidence from India. J. Dev. Econ. 127, 42–55 (2017).

    Article 

    Google Scholar
     

  • Sekhri, S. & Debnath, S. Intergenerational consequences of early age marriages of girls: effect on children’s human capital. J. Dev. Stud. 50, 1670–1686 (2014).

    Article 

    Google Scholar
     

  • Buchmann, N., Field, E., Glennerster, R., Nazneen, S. & Wan, X. Y. A signal to end child marriage: theory and experimental evidence from Bangladesh. Am. Econ. Rev. 113, 2645–2688 (2023).

  • Bursztyn, L., Gonzalez, A. L. & Yanagizawa-Drott, D. Misperceived social norms: women working outside the home in Saudi Arabia. Am. Econ. Rev. 110, 2997–3029 (2017).

    Article 

    Google Scholar
     

  • Aloud, M. E., Al-Rashood, S., Ganguli, I. & Zafar, B. Information and Social Norms: Experimental Evidence on the Labor Market Aspirations of Saudi Women Working Paper 26693 (NBER, 2020).

  • Archambault, C. S. Ethnographic empathy and the social context of rights: “rescuing” Maasai girls from early marriage. Am. Anthropol. 113, 632–643 (2011).

    Article 
    PubMed 

    Google Scholar
     

  • Schaffnit, S. B., Hassan, A., Urassa, M. & Lawson, D. W. Parent–offspring conflict unlikely to explain ‘child marriage’ in northwestern Tanzania. Nat. Hum. Behav. 3, 346–353 (2019).

    Article 
    PubMed 

    Google Scholar
     

  • Jain, S. & Kurz, K. New Insights on Preventing Child Marriage: A Global Analysis of Factors and Programs (USAID, 2007).

  • Mathur, S., Greene, M. & Malhotra, A. Too Young to Wed: The Lives, Rights, and Health of Young Married Girls (ICRW, 2003).

  • Rosentein-Rodan, P. N. Problems of industrialization of Eastern and South-Eastern Europe. Econ. J. 53, 202–211 (1942).


    Google Scholar
     

  • Murphy, K. M., Shleifer, A. & Vishny, R. W. Industrialization and the big push. J. Political Econ. 97, 1003–1026 (1989).

    Article 

    Google Scholar
     

  • Banerjee, A. et al. A multifaceted program causes lasting progress for the very poor: evidence from six countries. Science 348, 1260799 (2015).

  • Banerjee, A., Duflo, E. & Sharma, G. Long-term effects of targeting the ultra poor program. Am. Econ. Rev. Insights 3, 471–486 (2021).

    Article 

    Google Scholar
     

  • Banerjee, A., Karlan, D., Osei, R., Trachtman, H. & Udry, C. Unpacking a multi-faceted program to build sustainable income for the very poor. J. Dev. Econ. 155, 102781 (2022).

  • Perlman, D., Adamu, F. & Wodon, Q. Understanding and Ending Child Marriage: Insights from Hausa Communities (Centre for Girls Education, 2017).

  • Northern Nigeria Initiative: Results of the Early Grade Reading Assessment (EGRA) in Hausa (RTI International, 2011).

  • Nigeria Demographic and Health Survey 2018 NGIR7BFL.DTA (National Population Commission and ICF, 2019); https://www.dhsprogram.com/pubs/pdf/FR359/FR359.pdf.

  • Perlman, D. et al. in Women’s Empowerment and Global Health: A Twenty-First Century Agenda (eds Dworkin, S. et al.) Ch. 3 (Univ. California Press, 2016).

  • Bhuwania, P., Huh, K. & Heymann, J. Impact of tuition-free education policy on child marriage and early childbearing: does secondary matter more? Popul. Dev. Rev. 49, 43–70 (2023).

    Article 

    Google Scholar
     

  • Addaney, M. & Azubike, O.-O. Education as a contrivance to ending child marriage in Africa: perspectives from Nigeria and Uganda. Amst. Law Forum 9, 110 (2017).

    Article 

    Google Scholar
     

  • Acharya, A., Blackwell, M. & Sen, M. Explaining causal findings without bias: detecting and assessing direct effects. Am. Pol. Sci. Rev. 110, 512–529 (2016).

  • Caeyers, B. & Fafchamps, M. Exclusion bias in the estimation of peer effects. J. Hum. Resour. https://doi.org/10.3368/jhr.1120-11337R2 (2020).

  • Collin, M. & Talbot, T. Are age-of-marriage laws enforced? Evidence from developing countries. J. Dev. Econ. 160, 102950 (2023).

  • Greene, M. E., Siddiqi, M. & Abularrage, T. F. Systematic scoping review of interventions to prevent and respond to child marriage across Africa: progress, gaps and priorities. BMJ Open 13, e061315 (2023).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Baird, S., McIntosh, C. & Ozler, B. Cash or condition? Evidence from a cash transfer experiment. Quart. J. Econ. 126, 1709–1753 (2011).

    Article 

    Google Scholar
     

  • Duflo, E., Dupas, P. & Kremer, M. Education, HIV and early fertility: experimental evidence from Kenya. Am. Econ. Rev. 105, 2757–2797 (2015).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Ashraf, N., Bau, N., Low, C. & McGinn, K. Negotiating a better future: how interpersonal skills facilitate intergenerational investment. Quart. J. Econ. 135, 1095–1151 (2020).

    Article 

    Google Scholar
     

  • Bandiera, O. et al. Women’s empowerment in action: evidence from a randomized control trial in Africa. Am. Econ. J. Appl. Econ. 12, 210–259 (2020).

    Article 

    Google Scholar
     

  • Buehren, N., Goldstein, M., Gulesci, S., Sulaiman, M. & Yam, V. Evaluation of an Adolescent Development Program for Girls in Tanzania (World Bank, 2017).

  • Field, E., Glennerster, R., Buchmann, N. & Murphy, K. Cost–Benefit Analysis of Strategies to Reduce Child Marriage in Bangladesh (Copenhagen Consensus Center, 2016).

  • Jensen, R. Do labor market opportunities affect young women’s work and family decisions? Experimental evidence from India. Quart. J. Econ. 127, 753–792 (2012).

    Article 

    Google Scholar
     

  • Angrist, J., Bettinger, E., Bloom, E., King, E. & Kremer, M. Vouchers for private schooling in Colombia: evidence from a randomized natural experiment. Am. Econ. Rev. 92, 1535–1558 (2002).

    Article 

    Google Scholar
     

  • Anderson, M. Multiple inference and gender differences in the effects of early intervention: a reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects. J. Am. Stat. Assoc. 103, 1481–1495 (2008).

    Article 
    MathSciNet 
    CAS 

    Google Scholar
     

  • Zimet, G. D., Dahlem, N. W., Zimet, S. G. & Farley, G. K. The multidimensional scale of perceived social support. J. Pers. Assess. 52, 30–41 (1988).

    Article 

    Google Scholar
     

  • Waszak, C., Severy, L. J., Kafifi, L. & Badawi, I. Fertility behavior and psychological stress: the mediating influence of gender norm beliefs among Egyptian women. Psychol. Women Q. 25, 197–208 (2001).

    Article 

    Google Scholar
     

  • Bruhn, M. & McKenzie, D. In Pursuit of balance: randomization in practice in development field experiments. Am. Econ. J. Appl. Econ. 1, 200–232 (2009).

    Article 

    Google Scholar
     

  • Abadie, A., Athey, S., Imbens, G. W. & Wooldridge, J. M. When should you adjust standard errors for clustering? Q. J. Econ. 138, 1–35 (2023).

    Article 

    Google Scholar
     

  • Cameron, A. C., Gelbach, J. B. & Miller, D. L. Bootstrap-based improvements for inference with clustered errors. Rev. Econ. Stat. 90, 414–427 (2008).

    Article 

    Google Scholar
     

  • Roodman, D., Nielsen, M. Ø., MacKinnon, J. G. & Webb, M. D. Fast and wild: bootstrap inference in stata using boottest. Stata 19, 4–60 (2019).

  • Athey, S. & Imbens, G. in Handbook of Economic Field Experiments (eds Duflo, E. & Banerjee, A.) 73–140 (Elsevier, 2017).

  • Benjamini, Y., Krieger, A. M. & Yekutieli, D. Adaptive linear step-up procedures that control the false discovery rate. Biometrika 93, 491–507 (2006).

    Article 
    MathSciNet 

    Google Scholar
     

  • Anderson, M. L. Stata code to compute “sharpened” False Discovery Rate (FDR) adjusted q-values. berkeley.edu https://anderson.are.berkeley.edu/downloads/fdr_sharpened_qvalues.do.zip (2025).

  • Montenegro, C. E. & Patrinos, H. A. Comparable Estimates of Returns to Schooling Around the World (World Bank Group, 2014).

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