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Do Information Technologies Improve Teenagers’ Sexual Education? Evidence from a Randomized Evaluation in Colombia

Author

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  • Alberto Chong
  • Marco Gonzalez-Navarro
  • Dean Karlan
  • Martín Valdivia

Abstract

This study reports results from a randomized evaluation of a mandatory six-month Internet-based sexual education course implemented across public junior high schools in 21 Colombian cities. Six months after finishing the course, the study finds a 0.4 standard deviation improvement in knowledge, a 0.2 standard deviation improvement in attitudes, and a 55 percent increase in the likelihood of redeeming vouchers for condoms as a result of taking the course. The data provide no evidence of spillovers to control classrooms within treatment schools. However, the analysis provides compelling evidence that treatment effects are enhanced when a larger share of a student's friends also takes the course. The low cost of the online course along with the effectiveness the study documents suggests this technology is a viable alternative for improving sexual education in middle-income countries.

Suggested Citation

  • Alberto Chong & Marco Gonzalez-Navarro & Dean Karlan & Martín Valdivia, 2020. "Do Information Technologies Improve Teenagers’ Sexual Education? Evidence from a Randomized Evaluation in Colombia," The World Bank Economic Review, World Bank, vol. 34(2), pages 371-392.
    • Handle: RePEc:oup:wbecrv:v:34:y:2020:i:2:p:371-392.
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    File URL: http://hdl.handle.net/10.1093/wber/lhy031
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    Cited by:

    1. repec:dgr:rugsom:14017-eef is not listed on IDEAS
    2. Julian Jamison, Dean Karlan, Pia Raffler, 2013. "Mixed Method Evaluation of a Passive Health Sexual Information Texting Service in Uganda-Working Paper 332," Working Papers 332, Center for Global Development.
    3. David SAHN & Catalina HERRERA, 2014. "The Impact of Early Childbearing on Schooling and Cognitive Skills among Young Women in Madagascar," Working Papers 201428, CERDI.
    4. Melissa Hidrobo & Giordano Palloni & Daniel O. Gilligan & Jenny C. Aker & Natasha Ledlie, 2022. "Paying for Digital Information: Assessing Farmers’ Willingness to Pay for a Digital Agriculture and Nutrition Service in Ghana," Economic Development and Cultural Change, University of Chicago Press, vol. 70(4), pages 1367-1402.
    5. Carole Treibich & Aurélia Lépine, 2019. "Estimating misreporting in condom use and its determinants among sex workers: Evidence from the list randomisation method," Health Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 144-160, January.
    6. Jamison, Julian & Karlan, Dean & Raffler, Pia, 2013. "Mixed Method Evaluation of a Passive mHealth Sexual Information Texting Service in Uganda," Working Papers 116, Yale University, Department of Economics.
    7. Augsburg, Britta & Bancalari, Antonella & Durrani, Zara & Vaidyanathan, Madhav & White, Zach, 2022. "When nature calls back: Sustaining behavioral change in rural Pakistan," Journal of Development Economics, Elsevier, vol. 158(C).
    8. De Cao, Elisabetta & Lutz, Clemens, 2014. "Sensitive survey questions," Research Report 14017-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    9. Juliane Zenker & Andreas Wagener & Sebastian Vollmer, 2018. "Better Knowledge Need Not Affect Behavior: A Randomized Evaluation of the Demand for Lottery Tickets in Rural Thailand," The World Bank Economic Review, World Bank, vol. 32(3), pages 570-583.
    10. Dupas, Pascaline & Miguel, Edward, 2016. "Impacts and Determinants of Health Levels in Low-Income Countries," Department of Economics, Working Paper Series qt3r04k69j, Department of Economics, Institute for Business and Economic Research, UC Berkeley.

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    More about this item

    Keywords

    information technologies; Internet; sex education; teenagers; field experiment; Colombia;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I2 - Health, Education, and Welfare - - Education
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

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